id	sid	tid	token	lemma	pos
ijassa-594	1	1	adv	adv	PROPN
ijassa-594	1	2	syst	syst	PROPN
ijassa-594	1	3	sci	sci	PROPN
ijassa-594	1	4	appl	appl	PROPN
ijassa-594	1	5	2019	2019	NUM
ijassa-594	1	6	;	;	PUNCT
ijassa-594	1	7	01	01	NUM
ijassa-594	1	8	;	;	PUNCT
ijassa-594	1	9	141	141	NUM
ijassa-594	1	10	-	-	SYM
ijassa-594	1	11	149	149	NUM
ijassa-594	1	12	published	publish	VERB
ijassa-594	1	13	online	online	ADV
ijassa-594	1	14	at	at	ADP
ijassa-594	1	15	http://ijassa.ipu.ru/index.php/ijassa/article/view/594	http://ijassa.ipu.ru/index.php/ijassa/article/view/594	NOUN
ijassa-594	1	16	copyright	copyright	NOUN
ijassa-594	1	17	©	©	PROPN
ijassa-594	1	18	0000	0000	NUM
ijassa-594	1	19	assa	assa	NOUN
ijassa-594	1	20	.	.	PUNCT
ijassa-594	2	1	adv	adv	PROPN
ijassa-594	2	2	.	.	PUNCT
ijassa-594	3	1	in	in	ADP
ijassa-594	3	2	systems	system	NOUN
ijassa-594	3	3	science	science	NOUN
ijassa-594	3	4	and	and	CCONJ
ijassa-594	3	5	appl	appl	NOUN
ijassa-594	3	6	.	.	PUNCT
ijassa-594	4	1	(	(	PUNCT
ijassa-594	4	2	0000	0000	NUM
ijassa-594	4	3	)	)	PUNCT
ijassa-594	4	4	the	the	DET
ijassa-594	4	5	application	application	NOUN
ijassa-594	4	6	of	of	ADP
ijassa-594	4	7	graph	graph	NOUN
ijassa-594	4	8	decomposition	decomposition	NOUN
ijassa-594	4	9	to	to	ADP
ijassa-594	4	10	development	development	NOUN
ijassa-594	4	11	of	of	ADP
ijassa-594	4	12	large	large	ADJ
ijassa-594	4	13	-	-	PUNCT
ijassa-594	4	14	scale	scale	NOUN
ijassa-594	4	15	agent	agent	NOUN
ijassa-594	4	16	-	-	PUNCT
ijassa-594	4	17	based	base	VERB
ijassa-594	4	18	economic	economic	ADJ
ijassa-594	4	19	models	model	NOUN
ijassa-594	4	20	v.l	v.l	PROPN
ijassa-594	4	21	.	.	PROPN
ijassa-594	4	22	makarov1	makarov1	PROPN
ijassa-594	4	23	,	,	PUNCT
ijassa-594	4	24	a.r	a.r	PROPN
ijassa-594	4	25	.	.	PROPN
ijassa-594	4	26	bakhtizin1	bakhtizin1	PROPN
ijassa-594	4	27	,	,	PUNCT
ijassa-594	4	28	e.d	e.d	PROPN
ijassa-594	4	29	.	.	PROPN
ijassa-594	4	30	sushko1	sushko1	PROPN
ijassa-594	4	31	,	,	PUNCT
ijassa-594	4	32	g.b	g.b	PROPN
ijassa-594	4	33	.	.	PUNCT
ijassa-594	4	34	sushko1	sushko1	PROPN
ijassa-594	5	1	1	1	NUM
ijassa-594	5	2	)	)	PUNCT
ijassa-594	5	3	central	central	ADJ
ijassa-594	5	4	economics	economic	NOUN
ijassa-594	5	5	and	and	CCONJ
ijassa-594	5	6	mathematics	mathematics	PROPN
ijassa-594	5	7	institute	institute	PROPN
ijassa-594	5	8	cemi	cemi	PROPN
ijassa-594	5	9	ras	ras	PROPN
ijassa-594	5	10	,	,	PUNCT
ijassa-594	5	11	moscow	moscow	PROPN
ijassa-594	5	12	,	,	PUNCT
ijassa-594	5	13	russia	russia	PROPN
ijassa-594	5	14	e	e	NOUN
ijassa-594	5	15	-	-	NOUN
ijassa-594	5	16	mail	mail	NOUN
ijassa-594	5	17	:	:	PUNCT
ijassa-594	5	18	albert.bakhtizin@gmail.com	albert.bakhtizin@gmail.com	X
ijassa-594	5	19	received	receive	VERB
ijassa-594	5	20	may	may	PROPN
ijassa-594	5	21	17	17	NUM
ijassa-594	5	22	,	,	PUNCT
ijassa-594	5	23	2018	2018	NUM
ijassa-594	5	24	;	;	PUNCT
ijassa-594	5	25	revised	revise	VERB
ijassa-594	5	26	march	march	PROPN
ijassa-594	5	27	13	13	NUM
ijassa-594	5	28	,	,	PUNCT
ijassa-594	5	29	2019	2019	NUM
ijassa-594	5	30	;	;	PUNCT
ijassa-594	5	31	published	publish	VERB
ijassa-594	5	32	april	april	PROPN
ijassa-594	5	33	15	15	NUM
ijassa-594	5	34	,	,	PUNCT
ijassa-594	5	35	2019	2019	NUM
ijassa-594	5	36	abstract	abstract	NOUN
ijassa-594	5	37	:	:	PUNCT
ijassa-594	5	38	in	in	ADP
ijassa-594	5	39	this	this	DET
ijassa-594	5	40	work	work	NOUN
ijassa-594	5	41	we	we	PRON
ijassa-594	5	42	describe	describe	VERB
ijassa-594	5	43	the	the	DET
ijassa-594	5	44	application	application	NOUN
ijassa-594	5	45	of	of	ADP
ijassa-594	5	46	the	the	DET
ijassa-594	5	47	graph	graph	NOUN
ijassa-594	5	48	decomposition	decomposition	NOUN
ijassa-594	5	49	algorithms	algorithm	NOUN
ijassa-594	5	50	for	for	ADP
ijassa-594	5	51	the	the	DET
ijassa-594	5	52	development	development	NOUN
ijassa-594	5	53	of	of	ADP
ijassa-594	5	54	a	a	DET
ijassa-594	5	55	scalable	scalable	ADJ
ijassa-594	5	56	high	high	ADJ
ijassa-594	5	57	-	-	PUNCT
ijassa-594	5	58	performance	performance	NOUN
ijassa-594	5	59	agent	agent	NOUN
ijassa-594	5	60	-	-	PUNCT
ijassa-594	5	61	based	base	VERB
ijassa-594	5	62	model	model	NOUN
ijassa-594	5	63	of	of	ADP
ijassa-594	5	64	population	population	NOUN
ijassa-594	5	65	of	of	ADP
ijassa-594	5	66	russia	russia	PROPN
ijassa-594	5	67	described	describe	VERB
ijassa-594	5	68	in	in	ADP
ijassa-594	5	69	terms	term	NOUN
ijassa-594	5	70	of	of	ADP
ijassa-594	5	71	demography	demography	NOUN
ijassa-594	5	72	,	,	PUNCT
ijassa-594	5	73	migration	migration	NOUN
ijassa-594	5	74	and	and	CCONJ
ijassa-594	5	75	transport	transport	NOUN
ijassa-594	5	76	flows	flow	NOUN
ijassa-594	5	77	.	.	PUNCT
ijassa-594	6	1	the	the	DET
ijassa-594	6	2	simulated	simulate	VERB
ijassa-594	6	3	system	system	NOUN
ijassa-594	6	4	consists	consist	VERB
ijassa-594	6	5	of	of	ADP
ijassa-594	6	6	agents	agent	NOUN
ijassa-594	6	7	representing	represent	VERB
ijassa-594	6	8	individuals	individual	NOUN
ijassa-594	6	9	and	and	CCONJ
ijassa-594	6	10	sets	set	NOUN
ijassa-594	6	11	of	of	ADP
ijassa-594	6	12	links	link	NOUN
ijassa-594	6	13	to	to	ADP
ijassa-594	6	14	other	other	ADJ
ijassa-594	6	15	agents	agent	NOUN
ijassa-594	6	16	,	,	PUNCT
ijassa-594	6	17	which	which	PRON
ijassa-594	6	18	represent	represent	VERB
ijassa-594	6	19	the	the	DET
ijassa-594	6	20	social	social	ADJ
ijassa-594	6	21	interactions	interaction	NOUN
ijassa-594	6	22	of	of	ADP
ijassa-594	6	23	individual	individual	ADJ
ijassa-594	6	24	.	.	PUNCT
ijassa-594	7	1	individual	individual	ADJ
ijassa-594	7	2	agents	agent	NOUN
ijassa-594	7	3	in	in	ADP
ijassa-594	7	4	the	the	DET
ijassa-594	7	5	model	model	NOUN
ijassa-594	7	6	participate	participate	VERB
ijassa-594	7	7	in	in	ADP
ijassa-594	7	8	several	several	ADJ
ijassa-594	7	9	independent	independent	ADJ
ijassa-594	7	10	processes	process	NOUN
ijassa-594	7	11	,	,	PUNCT
ijassa-594	7	12	for	for	ADP
ijassa-594	7	13	which	which	PRON
ijassa-594	7	14	different	different	ADJ
ijassa-594	7	15	sets	set	NOUN
ijassa-594	7	16	of	of	ADP
ijassa-594	7	17	social	social	ADJ
ijassa-594	7	18	links	link	NOUN
ijassa-594	7	19	is	be	AUX
ijassa-594	7	20	important	important	ADJ
ijassa-594	7	21	such	such	ADJ
ijassa-594	7	22	as	as	ADP
ijassa-594	7	23	family	family	NOUN
ijassa-594	7	24	and	and	CCONJ
ijassa-594	7	25	neighbors	neighbor	NOUN
ijassa-594	7	26	.	.	PUNCT
ijassa-594	8	1	to	to	PART
ijassa-594	8	2	perform	perform	VERB
ijassa-594	8	3	a	a	DET
ijassa-594	8	4	load	load	NOUN
ijassa-594	8	5	balancing	balancing	NOUN
ijassa-594	8	6	of	of	ADP
ijassa-594	8	7	agents	agent	NOUN
ijassa-594	8	8	between	between	ADP
ijassa-594	8	9	cluster	cluster	NOUN
ijassa-594	8	10	computer	computer	NOUN
ijassa-594	8	11	nodes	nod	VERB
ijassa-594	8	12	the	the	DET
ijassa-594	8	13	metis	metis	NOUN
ijassa-594	8	14	graph	graph	NOUN
ijassa-594	8	15	decomposition	decomposition	NOUN
ijassa-594	8	16	algorithm	algorithm	NOUN
ijassa-594	8	17	was	be	AUX
ijassa-594	8	18	used	use	VERB
ijassa-594	8	19	.	.	PUNCT
ijassa-594	9	1	these	these	DET
ijassa-594	9	2	algorithms	algorithm	NOUN
ijassa-594	9	3	allow	allow	VERB
ijassa-594	9	4	to	to	PART
ijassa-594	9	5	split	split	VERB
ijassa-594	9	6	the	the	DET
ijassa-594	9	7	graph	graph	NOUN
ijassa-594	9	8	of	of	ADP
ijassa-594	9	9	agents	agent	NOUN
ijassa-594	9	10	and	and	CCONJ
ijassa-594	9	11	links	link	NOUN
ijassa-594	9	12	into	into	ADP
ijassa-594	9	13	parts	part	NOUN
ijassa-594	9	14	of	of	ADP
ijassa-594	9	15	similar	similar	ADJ
ijassa-594	9	16	size	size	NOUN
ijassa-594	9	17	with	with	ADP
ijassa-594	9	18	least	least	ADJ
ijassa-594	9	19	possible	possible	ADJ
ijassa-594	9	20	number	number	NOUN
ijassa-594	9	21	of	of	ADP
ijassa-594	9	22	links	link	NOUN
ijassa-594	9	23	between	between	ADP
ijassa-594	9	24	them	they	PRON
ijassa-594	9	25	.	.	PUNCT
ijassa-594	10	1	a	a	DET
ijassa-594	10	2	number	number	NOUN
ijassa-594	10	3	of	of	ADP
ijassa-594	10	4	numerical	numerical	ADJ
ijassa-594	10	5	experiments	experiment	NOUN
ijassa-594	10	6	was	be	AUX
ijassa-594	10	7	carried	carry	VERB
ijassa-594	10	8	out	out	ADP
ijassa-594	10	9	for	for	ADP
ijassa-594	10	10	test	test	NOUN
ijassa-594	10	11	model	model	NOUN
ijassa-594	10	12	to	to	PART
ijassa-594	10	13	estimate	estimate	VERB
ijassa-594	10	14	the	the	DET
ijassa-594	10	15	influence	influence	NOUN
ijassa-594	10	16	of	of	ADP
ijassa-594	10	17	the	the	DET
ijassa-594	10	18	parameters	parameter	NOUN
ijassa-594	10	19	of	of	ADP
ijassa-594	10	20	the	the	DET
ijassa-594	10	21	model	model	NOUN
ijassa-594	10	22	on	on	ADP
ijassa-594	10	23	scalability	scalability	NOUN
ijassa-594	10	24	.	.	PUNCT
ijassa-594	11	1	keywords	keyword	NOUN
ijassa-594	11	2	:	:	PUNCT
ijassa-594	11	3	agent	agent	NOUN
ijassa-594	11	4	-	-	PUNCT
ijassa-594	11	5	based	base	VERB
ijassa-594	11	6	modelling	modelling	NOUN
ijassa-594	11	7	,	,	PUNCT
ijassa-594	11	8	numerical	numerical	ADJ
ijassa-594	11	9	modelling	modelling	NOUN
ijassa-594	11	10	,	,	PUNCT
ijassa-594	11	11	parallel	parallel	ADJ
ijassa-594	11	12	computing	computing	NOUN
ijassa-594	11	13	,	,	PUNCT
ijassa-594	11	14	graph	graph	NOUN
ijassa-594	11	15	decomposition	decomposition	NOUN
ijassa-594	11	16	.	.	PUNCT
ijassa-594	12	1	1	1	X
ijassa-594	12	2	.	.	X
ijassa-594	12	3	introduction	introduction	NOUN
ijassa-594	12	4	the	the	DET
ijassa-594	12	5	simulation	simulation	NOUN
ijassa-594	12	6	of	of	ADP
ijassa-594	12	7	complex	complex	ADJ
ijassa-594	12	8	economic	economic	ADJ
ijassa-594	12	9	processes	process	NOUN
ijassa-594	12	10	by	by	ADP
ijassa-594	12	11	means	mean	NOUN
ijassa-594	12	12	of	of	ADP
ijassa-594	12	13	agent	agent	NOUN
ijassa-594	12	14	-	-	PUNCT
ijassa-594	12	15	based	base	VERB
ijassa-594	12	16	approach	approach	NOUN
ijassa-594	12	17	requires	require	VERB
ijassa-594	12	18	a	a	DET
ijassa-594	12	19	large	large	ADJ
ijassa-594	12	20	number	number	NOUN
ijassa-594	12	21	of	of	ADP
ijassa-594	12	22	agents	agent	NOUN
ijassa-594	12	23	to	to	PART
ijassa-594	12	24	be	be	AUX
ijassa-594	12	25	used	use	VERB
ijassa-594	12	26	.	.	PUNCT
ijassa-594	13	1	one	one	PRON
ijassa-594	13	2	can	can	AUX
ijassa-594	13	3	expect	expect	VERB
ijassa-594	13	4	the	the	DET
ijassa-594	13	5	number	number	NOUN
ijassa-594	13	6	of	of	ADP
ijassa-594	13	7	agents	agent	NOUN
ijassa-594	13	8	to	to	PART
ijassa-594	13	9	be	be	AUX
ijassa-594	13	10	comparable	comparable	ADJ
ijassa-594	13	11	to	to	ADP
ijassa-594	13	12	the	the	DET
ijassa-594	13	13	population	population	NOUN
ijassa-594	13	14	of	of	ADP
ijassa-594	13	15	the	the	DET
ijassa-594	13	16	modelled	model	VERB
ijassa-594	13	17	society	society	NOUN
ijassa-594	13	18	such	such	ADJ
ijassa-594	13	19	as	as	ADP
ijassa-594	13	20	the	the	DET
ijassa-594	13	21	city	city	NOUN
ijassa-594	13	22	or	or	CCONJ
ijassa-594	13	23	a	a	DET
ijassa-594	13	24	country	country	NOUN
ijassa-594	13	25	i.e.	i.e.	X
ijassa-594	13	26	up	up	ADP
ijassa-594	13	27	to	to	PART
ijassa-594	13	28	109	109	NUM
ijassa-594	13	29	agents	agent	NOUN
ijassa-594	13	30	.	.	PUNCT
ijassa-594	14	1	high	high	ADJ
ijassa-594	14	2	number	number	NOUN
ijassa-594	14	3	of	of	ADP
ijassa-594	14	4	agents	agent	NOUN
ijassa-594	14	5	requires	require	VERB
ijassa-594	14	6	the	the	DET
ijassa-594	14	7	use	use	NOUN
ijassa-594	14	8	of	of	ADP
ijassa-594	14	9	supercomputer	supercomputer	NOUN
ijassa-594	14	10	clusters	cluster	NOUN
ijassa-594	14	11	to	to	PART
ijassa-594	14	12	perform	perform	VERB
ijassa-594	14	13	the	the	DET
ijassa-594	14	14	simulation	simulation	NOUN
ijassa-594	14	15	and	and	CCONJ
ijassa-594	14	16	requires	require	VERB
ijassa-594	14	17	a	a	DET
ijassa-594	14	18	special	special	ADJ
ijassa-594	14	19	programming	programming	NOUN
ijassa-594	14	20	technique	technique	NOUN
ijassa-594	14	21	to	to	PART
ijassa-594	14	22	be	be	AUX
ijassa-594	14	23	applied	apply	VERB
ijassa-594	14	24	in	in	ADP
ijassa-594	14	25	order	order	NOUN
ijassa-594	14	26	to	to	PART
ijassa-594	14	27	be	be	AUX
ijassa-594	14	28	able	able	ADJ
ijassa-594	14	29	to	to	PART
ijassa-594	14	30	run	run	VERB
ijassa-594	14	31	the	the	DET
ijassa-594	14	32	model	model	NOUN
ijassa-594	14	33	on	on	ADP
ijassa-594	14	34	such	such	ADJ
ijassa-594	14	35	computer	computer	NOUN
ijassa-594	14	36	.	.	PUNCT
ijassa-594	15	1	a	a	DET
ijassa-594	15	2	typical	typical	ADJ
ijassa-594	15	3	supercomputer	supercomputer	NOUN
ijassa-594	15	4	nowadays	nowadays	ADV
ijassa-594	15	5	is	be	AUX
ijassa-594	15	6	a	a	DET
ijassa-594	15	7	cluster	cluster	NOUN
ijassa-594	15	8	of	of	ADP
ijassa-594	15	9	multiprocessor	multiprocessor	NOUN
ijassa-594	15	10	multicore	multicore	ADJ
ijassa-594	15	11	nodes	node	NOUN
ijassa-594	15	12	with	with	ADP
ijassa-594	15	13	the	the	DET
ijassa-594	15	14	shared	share	VERB
ijassa-594	15	15	memory	memory	NOUN
ijassa-594	15	16	inside	inside	ADP
ijassa-594	15	17	the	the	DET
ijassa-594	15	18	node	node	NOUN
ijassa-594	15	19	and	and	CCONJ
ijassa-594	15	20	distributed	distributed	ADJ
ijassa-594	15	21	memory	memory	NOUN
ijassa-594	15	22	between	between	ADP
ijassa-594	15	23	the	the	DET
ijassa-594	15	24	nodes	node	NOUN
ijassa-594	15	25	of	of	ADP
ijassa-594	15	26	the	the	DET
ijassa-594	15	27	cluster	cluster	NOUN
ijassa-594	15	28	.	.	PUNCT
ijassa-594	16	1	that	that	SCONJ
ijassa-594	16	2	distributed	distribute	VERB
ijassa-594	16	3	memory	memory	NOUN
ijassa-594	16	4	model	model	NOUN
ijassa-594	16	5	requires	require	VERB
ijassa-594	16	6	the	the	DET
ijassa-594	16	7	data	datum	NOUN
ijassa-594	16	8	describing	describe	VERB
ijassa-594	16	9	agents	agent	NOUN
ijassa-594	16	10	to	to	PART
ijassa-594	16	11	be	be	AUX
ijassa-594	16	12	evenly	evenly	ADV
ijassa-594	16	13	split	split	VERB
ijassa-594	16	14	between	between	ADP
ijassa-594	16	15	the	the	DET
ijassa-594	16	16	nodes	node	NOUN
ijassa-594	16	17	of	of	ADP
ijassa-594	16	18	the	the	DET
ijassa-594	16	19	cluster	cluster	NOUN
ijassa-594	16	20	.	.	PUNCT
ijassa-594	17	1	the	the	DET
ijassa-594	17	2	paper	paper	NOUN
ijassa-594	17	3	describes	describe	VERB
ijassa-594	17	4	the	the	DET
ijassa-594	17	5	application	application	NOUN
ijassa-594	17	6	of	of	ADP
ijassa-594	17	7	the	the	DET
ijassa-594	17	8	metis[1,2,3	metis[1,2,3	NOUN
ijassa-594	17	9	]	]	PUNCT
ijassa-594	17	10	spatial	spatial	ADJ
ijassa-594	17	11	decomposition	decomposition	NOUN
ijassa-594	17	12	algorithm	algorithm	NOUN
ijassa-594	17	13	for	for	ADP
ijassa-594	17	14	conducting	conduct	VERB
ijassa-594	17	15	multi	multi	ADJ
ijassa-594	17	16	-	-	ADJ
ijassa-594	17	17	agent	agent	ADJ
ijassa-594	17	18	simulations	simulation	NOUN
ijassa-594	17	19	of	of	ADP
ijassa-594	17	20	the	the	DET
ijassa-594	17	21	behavior	behavior	NOUN
ijassa-594	17	22	of	of	ADP
ijassa-594	17	23	society	society	NOUN
ijassa-594	17	24	using	use	VERB
ijassa-594	17	25	supercomputers	supercomputer	NOUN
ijassa-594	17	26	.	.	PUNCT
ijassa-594	18	1	there	there	PRON
ijassa-594	18	2	is	be	VERB
ijassa-594	18	3	a	a	DET
ijassa-594	18	4	number	number	NOUN
ijassa-594	18	5	of	of	ADP
ijassa-594	18	6	technologies	technology	NOUN
ijassa-594	18	7	and	and	CCONJ
ijassa-594	18	8	frameworks	framework	NOUN
ijassa-594	18	9	for	for	ADP
ijassa-594	18	10	development	development	NOUN
ijassa-594	18	11	of	of	ADP
ijassa-594	18	12	abm	abm	PROPN
ijassa-594	18	13	(	(	PUNCT
ijassa-594	18	14	agentbased	agentbase	VERB
ijassa-594	18	15	modeling	modeling	NOUN
ijassa-594	18	16	)	)	PUNCT
ijassa-594	18	17	simulation	simulation	NOUN
ijassa-594	18	18	software	software	NOUN
ijassa-594	18	19	such	such	ADJ
ijassa-594	18	20	as	as	ADP
ijassa-594	18	21	microsoft	microsoft	PROPN
ijassa-594	18	22	axum	axum	NOUN
ijassa-594	18	23	[	[	X
ijassa-594	18	24	4	4	X
ijassa-594	18	25	]	]	PUNCT
ijassa-594	18	26	and	and	CCONJ
ijassa-594	18	27	repast	repast	NOUN
ijassa-594	18	28	hpc	hpc	NOUN
ijassa-594	18	29	[	[	X
ijassa-594	18	30	5	5	NUM
ijassa-594	18	31	]	]	PUNCT
ijassa-594	18	32	and	and	CCONJ
ijassa-594	18	33	swages	swage	NOUN
ijassa-594	18	34	[	[	X
ijassa-594	18	35	6	6	NUM
ijassa-594	18	36	]	]	PUNCT
ijassa-594	18	37	.	.	PUNCT
ijassa-594	19	1	these	these	DET
ijassa-594	19	2	frameworks	framework	NOUN
ijassa-594	19	3	implement	implement	VERB
ijassa-594	19	4	mechanisms	mechanism	NOUN
ijassa-594	19	5	of	of	ADP
ijassa-594	19	6	exchange	exchange	NOUN
ijassa-594	19	7	of	of	ADP
ijassa-594	19	8	messages	message	NOUN
ijassa-594	19	9	between	between	ADP
ijassa-594	19	10	agents	agent	NOUN
ijassa-594	19	11	but	but	CCONJ
ijassa-594	19	12	the	the	DET
ijassa-594	19	13	problem	problem	NOUN
ijassa-594	19	14	of	of	ADP
ijassa-594	19	15	optimal	optimal	ADJ
ijassa-594	19	16	distribution	distribution	NOUN
ijassa-594	19	17	of	of	ADP
ijassa-594	19	18	agents	agent	NOUN
ijassa-594	19	19	between	between	ADP
ijassa-594	19	20	processes	process	NOUN
ijassa-594	19	21	should	should	AUX
ijassa-594	19	22	be	be	AUX
ijassa-594	19	23	solved	solve	VERB
ijassa-594	19	24	by	by	ADP
ijassa-594	19	25	the	the	DET
ijassa-594	19	26	simulation	simulation	NOUN
ijassa-594	19	27	code	code	NOUN
ijassa-594	19	28	taking	take	VERB
ijassa-594	19	29	into	into	ADP
ijassa-594	19	30	account	account	NOUN
ijassa-594	19	31	all	all	DET
ijassa-594	19	32	types	type	NOUN
ijassa-594	19	33	of	of	ADP
ijassa-594	19	34	interactions	interaction	NOUN
ijassa-594	19	35	in	in	ADP
ijassa-594	19	36	the	the	DET
ijassa-594	19	37	model	model	NOUN
ijassa-594	19	38	.	.	PUNCT
ijassa-594	20	1	for	for	ADP
ijassa-594	20	2	example	example	NOUN
ijassa-594	20	3	,	,	PUNCT
ijassa-594	20	4	a	a	DET
ijassa-594	20	5	similar	similar	ADJ
ijassa-594	20	6	approach	approach	NOUN
ijassa-594	20	7	using	use	VERB
ijassa-594	20	8	metis	metis	ADJ
ijassa-594	20	9	algorithm	algorithm	NOUN
ijassa-594	20	10	for	for	ADP
ijassa-594	20	11	a	a	DET
ijassa-594	20	12	large	large	ADJ
ijassa-594	20	13	-	-	PUNCT
ijassa-594	20	14	scale	scale	NOUN
ijassa-594	20	15	epidemiologic	epidemiologic	ADJ
ijassa-594	20	16	abm	abm	PROPN
ijassa-594	20	17	using	use	VERB
ijassa-594	20	18	repast	repast	NOUN
ijassa-594	20	19	hpc	hpc	PROPN
ijassa-594	20	20	and	and	CCONJ
ijassa-594	20	21	metis	metis	NOUN
ijassa-594	20	22	was	be	AUX
ijassa-594	20	23	implemented	implement	VERB
ijassa-594	20	24	in	in	ADP
ijassa-594	20	25	paper	paper	NOUN
ijassa-594	20	26	[	[	X
ijassa-594	20	27	7	7	NUM
ijassa-594	20	28	]	]	PUNCT
ijassa-594	20	29	.	.	PUNCT
ijassa-594	21	1	another	another	DET
ijassa-594	21	2	example	example	NOUN
ijassa-594	21	3	is	be	AUX
ijassa-594	21	4	the	the	DET
ijassa-594	21	5	application	application	NOUN
ijassa-594	21	6	of	of	ADP
ijassa-594	21	7	the	the	DET
ijassa-594	21	8	metis	metis	NOUN
ijassa-594	21	9	decomposition	decomposition	NOUN
ijassa-594	21	10	for	for	ADP
ijassa-594	21	11	modeling	modeling	NOUN
ijassa-594	21	12	of	of	ADP
ijassa-594	21	13	railway	railway	NOUN
ijassa-594	21	14	scheduling	scheduling	NOUN
ijassa-594	21	15	in	in	ADP
ijassa-594	21	16	paper	paper	NOUN
ijassa-594	21	17	[	[	X
ijassa-594	21	18	8	8	NUM
ijassa-594	21	19	]	]	PUNCT
ijassa-594	21	20	.	.	PUNCT
ijassa-594	22	1	e	e	AUX
ijassa-594	22	2	ach	ach	PROPN
ijassa-594	22	3	of	of	ADP
ijassa-594	22	4	these	these	DET
ijassa-594	22	5	codes	code	NOUN
ijassa-594	22	6	used	use	VERB
ijassa-594	22	7	its	its	PRON
ijassa-594	22	8	own	own	ADJ
ijassa-594	22	9	implementation	implementation	NOUN
ijassa-594	22	10	of	of	ADP
ijassa-594	22	11	the	the	DET
ijassa-594	22	12	decomposition	decomposition	NOUN
ijassa-594	22	13	code	code	NOUN
ijassa-594	22	14	to	to	PART
ijassa-594	22	15	transform	transform	VERB
ijassa-594	22	16	the	the	DET
ijassa-594	22	17	objects	object	NOUN
ijassa-594	22	18	in	in	ADP
ijassa-594	22	19	the	the	DET
ijassa-594	22	20	model	model	NOUN
ijassa-594	22	21	into	into	ADP
ijassa-594	22	22	graph	graph	NOUN
ijassa-594	22	23	representation	representation	NOUN
ijassa-594	22	24	for	for	ADP
ijassa-594	22	25	metis	metis	NOUN
ijassa-594	22	26	.	.	PUNCT
ijassa-594	23	1	mailto:albert.bakhtizin@gmail.com	mailto:albert.bakhtizin@gmail.com	X
ijassa-594	23	2	142	142	NUM
ijassa-594	24	1	v.l	v.l	PROPN
ijassa-594	24	2	.	.	PROPN
ijassa-594	24	3	makarov	makarov	PROPN
ijassa-594	24	4	,	,	PUNCT
ijassa-594	24	5	a.r	a.r	PROPN
ijassa-594	24	6	.	.	PROPN
ijassa-594	24	7	bakhtizin	bakhtizin	PROPN
ijassa-594	24	8	,	,	PUNCT
ijassa-594	24	9	e.d	e.d	PROPN
ijassa-594	24	10	.	.	PROPN
ijassa-594	24	11	sushko	sushko	PROPN
ijassa-594	24	12	,	,	PUNCT
ijassa-594	24	13	g.b	g.b	PROPN
ijassa-594	24	14	.	.	PROPN
ijassa-594	24	15	sushko	sushko	PROPN
ijassa-594	24	16	copyright	copyright	NOUN
ijassa-594	24	17	©	©	PROPN
ijassa-594	24	18	2019	2019	NUM
ijassa-594	24	19	assa	assa	NOUN
ijassa-594	24	20	.	.	PUNCT
ijassa-594	25	1	adv	adv	PROPN
ijassa-594	25	2	.	.	PUNCT
ijassa-594	26	1	in	in	ADP
ijassa-594	26	2	systems	system	NOUN
ijassa-594	26	3	science	science	NOUN
ijassa-594	26	4	and	and	CCONJ
ijassa-594	26	5	appl	appl	NOUN
ijassa-594	26	6	.	.	PUNCT
ijassa-594	27	1	(	(	PUNCT
ijassa-594	27	2	2019	2019	NUM
ijassa-594	27	3	)	)	PUNCT
ijassa-594	27	4	the	the	DET
ijassa-594	27	5	simulated	simulate	VERB
ijassa-594	27	6	system	system	NOUN
ijassa-594	27	7	consists	consist	VERB
ijassa-594	27	8	of	of	ADP
ijassa-594	27	9	agents	agent	NOUN
ijassa-594	27	10	which	which	PRON
ijassa-594	27	11	represent	represent	VERB
ijassa-594	27	12	individuals	individual	NOUN
ijassa-594	27	13	and	and	CCONJ
ijassa-594	27	14	a	a	DET
ijassa-594	27	15	set	set	NOUN
ijassa-594	27	16	of	of	ADP
ijassa-594	27	17	links	link	NOUN
ijassa-594	27	18	to	to	ADP
ijassa-594	27	19	other	other	ADJ
ijassa-594	27	20	agents	agent	NOUN
ijassa-594	27	21	,	,	PUNCT
ijassa-594	27	22	which	which	PRON
ijassa-594	27	23	represent	represent	VERB
ijassa-594	27	24	the	the	DET
ijassa-594	27	25	social	social	ADJ
ijassa-594	27	26	interactions	interaction	NOUN
ijassa-594	27	27	of	of	ADP
ijassa-594	27	28	individual	individual	NOUN
ijassa-594	27	29	.	.	PUNCT
ijassa-594	28	1	the	the	DET
ijassa-594	28	2	individual	individual	ADJ
ijassa-594	28	3	agents	agent	NOUN
ijassa-594	28	4	in	in	ADP
ijassa-594	28	5	the	the	DET
ijassa-594	28	6	model	model	NOUN
ijassa-594	28	7	participate	participate	VERB
ijassa-594	28	8	in	in	ADP
ijassa-594	28	9	several	several	ADJ
ijassa-594	28	10	independent	independent	ADJ
ijassa-594	28	11	processes	process	NOUN
ijassa-594	28	12	,	,	PUNCT
ijassa-594	28	13	for	for	ADP
ijassa-594	28	14	which	which	PRON
ijassa-594	28	15	different	different	ADJ
ijassa-594	28	16	sets	set	NOUN
ijassa-594	28	17	of	of	ADP
ijassa-594	28	18	social	social	ADJ
ijassa-594	28	19	links	link	NOUN
ijassa-594	28	20	is	be	AUX
ijassa-594	28	21	important	important	ADJ
ijassa-594	28	22	such	such	ADJ
ijassa-594	28	23	as	as	ADP
ijassa-594	28	24	family	family	NOUN
ijassa-594	28	25	and	and	CCONJ
ijassa-594	28	26	neighbors	neighbor	NOUN
ijassa-594	28	27	.	.	PUNCT
ijassa-594	29	1	the	the	DET
ijassa-594	29	2	agents	agent	NOUN
ijassa-594	29	3	of	of	ADP
ijassa-594	29	4	the	the	DET
ijassa-594	29	5	system	system	NOUN
ijassa-594	29	6	participate	participate	VERB
ijassa-594	29	7	in	in	ADP
ijassa-594	29	8	two	two	NUM
ijassa-594	29	9	processes	process	NOUN
ijassa-594	29	10	:	:	PUNCT
ijassa-594	29	11	1	1	X
ijassa-594	29	12	)	)	PUNCT
ijassa-594	29	13	the	the	DET
ijassa-594	29	14	process	process	NOUN
ijassa-594	29	15	of	of	ADP
ijassa-594	29	16	reproduction	reproduction	NOUN
ijassa-594	29	17	of	of	ADP
ijassa-594	29	18	the	the	DET
ijassa-594	29	19	population	population	NOUN
ijassa-594	29	20	,	,	PUNCT
ijassa-594	29	21	and	and	CCONJ
ijassa-594	29	22	2	2	X
ijassa-594	29	23	)	)	PUNCT
ijassa-594	29	24	the	the	DET
ijassa-594	29	25	process	process	NOUN
ijassa-594	29	26	of	of	ADP
ijassa-594	29	27	migration	migration	NOUN
ijassa-594	29	28	.	.	PUNCT
ijassa-594	30	1	in	in	ADP
ijassa-594	30	2	the	the	DET
ijassa-594	30	3	first	first	ADJ
ijassa-594	30	4	process	process	NOUN
ijassa-594	30	5	they	they	PRON
ijassa-594	30	6	use	use	VERB
ijassa-594	30	7	messages	message	NOUN
ijassa-594	30	8	exchange	exchange	NOUN
ijassa-594	30	9	to	to	PART
ijassa-594	30	10	search	search	VERB
ijassa-594	30	11	for	for	SCONJ
ijassa-594	30	12	the	the	DET
ijassa-594	30	13	partner	partner	NOUN
ijassa-594	30	14	to	to	PART
ijassa-594	30	15	form	form	VERB
ijassa-594	30	16	a	a	DET
ijassa-594	30	17	family	family	NOUN
ijassa-594	30	18	.	.	PUNCT
ijassa-594	31	1	in	in	ADP
ijassa-594	31	2	the	the	DET
ijassa-594	31	3	second	second	ADJ
ijassa-594	31	4	process	process	NOUN
ijassa-594	31	5	the	the	DET
ijassa-594	31	6	message	message	NOUN
ijassa-594	31	7	exchange	exchange	NOUN
ijassa-594	31	8	mechanism	mechanism	NOUN
ijassa-594	31	9	is	be	AUX
ijassa-594	31	10	used	use	VERB
ijassa-594	31	11	to	to	PART
ijassa-594	31	12	obtain	obtain	VERB
ijassa-594	31	13	information	information	NOUN
ijassa-594	31	14	about	about	ADP
ijassa-594	31	15	available	available	ADJ
ijassa-594	31	16	jobs	job	NOUN
ijassa-594	31	17	in	in	ADP
ijassa-594	31	18	different	different	ADJ
ijassa-594	31	19	regions	region	NOUN
ijassa-594	31	20	to	to	PART
ijassa-594	31	21	determine	determine	VERB
ijassa-594	31	22	the	the	DET
ijassa-594	31	23	direction	direction	NOUN
ijassa-594	31	24	of	of	ADP
ijassa-594	31	25	migration	migration	NOUN
ijassa-594	31	26	.	.	PUNCT
ijassa-594	32	1	to	to	PART
ijassa-594	32	2	conduct	conduct	VERB
ijassa-594	32	3	agent	agent	NOUN
ijassa-594	32	4	modeling	modeling	NOUN
ijassa-594	32	5	of	of	ADP
ijassa-594	32	6	demographic	demographic	ADJ
ijassa-594	32	7	processes	process	NOUN
ijassa-594	32	8	with	with	ADP
ijassa-594	32	9	a	a	DET
ijassa-594	32	10	large	large	ADJ
ijassa-594	32	11	number	number	NOUN
ijassa-594	32	12	of	of	ADP
ijassa-594	32	13	agents	agent	NOUN
ijassa-594	32	14	,	,	PUNCT
ijassa-594	32	15	it	it	PRON
ijassa-594	32	16	is	be	AUX
ijassa-594	32	17	necessary	necessary	ADJ
ijassa-594	32	18	to	to	PART
ijassa-594	32	19	create	create	VERB
ijassa-594	32	20	an	an	DET
ijassa-594	32	21	initial	initial	ADJ
ijassa-594	32	22	state	state	NOUN
ijassa-594	32	23	of	of	ADP
ijassa-594	32	24	the	the	DET
ijassa-594	32	25	population	population	NOUN
ijassa-594	32	26	of	of	ADP
ijassa-594	32	27	agents	agent	NOUN
ijassa-594	32	28	with	with	ADP
ijassa-594	32	29	a	a	DET
ijassa-594	32	30	given	give	VERB
ijassa-594	32	31	distribution	distribution	NOUN
ijassa-594	32	32	by	by	ADP
ijassa-594	32	33	region	region	NOUN
ijassa-594	32	34	,	,	PUNCT
ijassa-594	32	35	age	age	NOUN
ijassa-594	32	36	,	,	PUNCT
ijassa-594	32	37	sex	sex	NOUN
ijassa-594	32	38	,	,	PUNCT
ijassa-594	32	39	income	income	NOUN
ijassa-594	32	40	and	and	CCONJ
ijassa-594	32	41	other	other	ADJ
ijassa-594	32	42	relevant	relevant	ADJ
ijassa-594	32	43	parameters	parameter	NOUN
ijassa-594	32	44	.	.	PUNCT
ijassa-594	33	1	in	in	ADP
ijassa-594	33	2	the	the	DET
ijassa-594	33	3	test	test	NOUN
ijassa-594	33	4	case	case	NOUN
ijassa-594	33	5	,	,	PUNCT
ijassa-594	33	6	reading	reading	NOUN
ijassa-594	33	7	of	of	ADP
ijassa-594	33	8	the	the	DET
ijassa-594	33	9	data	datum	NOUN
ijassa-594	33	10	by	by	ADP
ijassa-594	33	11	region	region	NOUN
ijassa-594	33	12	from	from	ADP
ijassa-594	33	13	the	the	DET
ijassa-594	33	14	text	text	NOUN
ijassa-594	33	15	file	file	NOUN
ijassa-594	33	16	and	and	CCONJ
ijassa-594	33	17	the	the	DET
ijassa-594	33	18	geometry	geometry	NOUN
ijassa-594	33	19	of	of	ADP
ijassa-594	33	20	regions	region	NOUN
ijassa-594	33	21	from	from	ADP
ijassa-594	33	22	the	the	DET
ijassa-594	33	23	image	image	NOUN
ijassa-594	33	24	file	file	NOUN
ijassa-594	33	25	was	be	AUX
ijassa-594	33	26	realized	realize	VERB
ijassa-594	33	27	.	.	PUNCT
ijassa-594	34	1	the	the	DET
ijassa-594	34	2	data	data	NOUN
ijassa-594	34	3	is	be	AUX
ijassa-594	34	4	used	use	VERB
ijassa-594	34	5	to	to	PART
ijassa-594	34	6	construct	construct	VERB
ijassa-594	34	7	a	a	DET
ijassa-594	34	8	rectangular	rectangular	ADJ
ijassa-594	34	9	grid	grid	NOUN
ijassa-594	34	10	,	,	PUNCT
ijassa-594	34	11	each	each	DET
ijassa-594	34	12	cell	cell	NOUN
ijassa-594	34	13	of	of	ADP
ijassa-594	34	14	which	which	PRON
ijassa-594	34	15	is	be	AUX
ijassa-594	34	16	connected	connect	VERB
ijassa-594	34	17	to	to	ADP
ijassa-594	34	18	a	a	DET
ijassa-594	34	19	certain	certain	ADJ
ijassa-594	34	20	region	region	NOUN
ijassa-594	34	21	and	and	CCONJ
ijassa-594	34	22	parameters	parameter	NOUN
ijassa-594	34	23	of	of	ADP
ijassa-594	34	24	agents	agent	NOUN
ijassa-594	34	25	in	in	ADP
ijassa-594	34	26	the	the	DET
ijassa-594	34	27	cell	cell	NOUN
ijassa-594	34	28	are	be	AUX
ijassa-594	34	29	determined	determine	VERB
ijassa-594	34	30	by	by	ADP
ijassa-594	34	31	the	the	DET
ijassa-594	34	32	parameters	parameter	NOUN
ijassa-594	34	33	of	of	ADP
ijassa-594	34	34	the	the	DET
ijassa-594	34	35	region	region	NOUN
ijassa-594	34	36	.	.	PUNCT
ijassa-594	35	1	a	a	DET
ijassa-594	35	2	random	random	ADJ
ijassa-594	35	3	distribution	distribution	NOUN
ijassa-594	35	4	of	of	ADP
ijassa-594	35	5	the	the	DET
ijassa-594	35	6	number	number	NOUN
ijassa-594	35	7	of	of	ADP
ijassa-594	35	8	resident	resident	ADJ
ijassa-594	35	9	agents	agent	NOUN
ijassa-594	35	10	between	between	ADP
ijassa-594	35	11	grid	grid	NOUN
ijassa-594	35	12	cells	cell	NOUN
ijassa-594	35	13	(	(	PUNCT
ijassa-594	35	14	uniform	uniform	ADJ
ijassa-594	35	15	distribution	distribution	NOUN
ijassa-594	35	16	of	of	ADP
ijassa-594	35	17	population	population	NOUN
ijassa-594	35	18	within	within	ADP
ijassa-594	35	19	each	each	DET
ijassa-594	35	20	region	region	NOUN
ijassa-594	35	21	with	with	ADP
ijassa-594	35	22	the	the	DET
ijassa-594	35	23	fixed	fix	VERB
ijassa-594	35	24	total	total	ADJ
ijassa-594	35	25	number	number	NOUN
ijassa-594	35	26	of	of	ADP
ijassa-594	35	27	agents	agent	NOUN
ijassa-594	35	28	in	in	ADP
ijassa-594	35	29	the	the	DET
ijassa-594	35	30	system	system	NOUN
ijassa-594	35	31	)	)	PUNCT
ijassa-594	35	32	and	and	CCONJ
ijassa-594	35	33	calculation	calculation	NOUN
ijassa-594	35	34	of	of	ADP
ijassa-594	35	35	grid	grid	NOUN
ijassa-594	35	36	cells	cell	NOUN
ijassa-594	35	37	decomposition	decomposition	NOUN
ijassa-594	35	38	by	by	ADP
ijassa-594	35	39	processors	processor	NOUN
ijassa-594	35	40	was	be	AUX
ijassa-594	35	41	implemented	implement	VERB
ijassa-594	35	42	.	.	PUNCT
ijassa-594	36	1	2	2	X
ijassa-594	36	2	.	.	X
ijassa-594	36	3	the	the	DET
ijassa-594	36	4	model	model	NOUN
ijassa-594	36	5	description	description	NOUN
ijassa-594	36	6	the	the	DET
ijassa-594	36	7	most	most	ADV
ijassa-594	36	8	common	common	ADJ
ijassa-594	36	9	way	way	NOUN
ijassa-594	36	10	of	of	ADP
ijassa-594	36	11	writing	write	VERB
ijassa-594	36	12	simulation	simulation	NOUN
ijassa-594	36	13	programs	program	NOUN
ijassa-594	36	14	for	for	ADP
ijassa-594	36	15	cluster	cluster	NOUN
ijassa-594	36	16	computers	computer	NOUN
ijassa-594	36	17	is	be	AUX
ijassa-594	36	18	to	to	PART
ijassa-594	36	19	use	use	VERB
ijassa-594	36	20	c++/fortran	c++/fortran	VERB
ijassa-594	36	21	language	language	NOUN
ijassa-594	36	22	and	and	CCONJ
ijassa-594	36	23	mpi	mpi	ADJ
ijassa-594	36	24	library	library	NOUN
ijassa-594	36	25	which	which	PRON
ijassa-594	36	26	are	be	AUX
ijassa-594	36	27	available	available	ADJ
ijassa-594	36	28	on	on	ADP
ijassa-594	36	29	all	all	DET
ijassa-594	36	30	supercomputers	supercomputer	NOUN
ijassa-594	36	31	.	.	PUNCT
ijassa-594	37	1	to	to	PART
ijassa-594	37	2	simplify	simplify	VERB
ijassa-594	37	3	the	the	DET
ijassa-594	37	4	development	development	NOUN
ijassa-594	37	5	of	of	ADP
ijassa-594	37	6	the	the	DET
ijassa-594	37	7	model	model	NOUN
ijassa-594	37	8	the	the	DET
ijassa-594	37	9	distributed	distribute	VERB
ijassa-594	37	10	abm	abm	PROPN
ijassa-594	37	11	framework	framework	NOUN
ijassa-594	37	12	[	[	X
ijassa-594	37	13	9	9	NUM
ijassa-594	37	14	]	]	PUNCT
ijassa-594	37	15	was	be	AUX
ijassa-594	37	16	developed	develop	VERB
ijassa-594	37	17	for	for	ADP
ijassa-594	37	18	use	use	NOUN
ijassa-594	37	19	with	with	ADP
ijassa-594	37	20	the	the	DET
ijassa-594	37	21	high	high	ADJ
ijassa-594	37	22	-	-	PUNCT
ijassa-594	37	23	level	level	NOUN
ijassa-594	37	24	microsoft	microsoft	PROPN
ijassa-594	37	25	.net	.net	PROPN
ijassa-594	37	26	platform	platform	PROPN
ijassa-594	37	27	.	.	PUNCT
ijassa-594	38	1	the	the	DET
ijassa-594	38	2	use	use	NOUN
ijassa-594	38	3	of	of	ADP
ijassa-594	38	4	the	the	DET
ijassa-594	38	5	high	high	ADJ
ijassa-594	38	6	-	-	PUNCT
ijassa-594	38	7	level	level	NOUN
ijassa-594	38	8	programming	programming	NOUN
ijassa-594	38	9	language	language	NOUN
ijassa-594	38	10	for	for	ADP
ijassa-594	38	11	model	model	NOUN
ijassa-594	38	12	description	description	NOUN
ijassa-594	38	13	requires	require	VERB
ijassa-594	38	14	the	the	DET
ijassa-594	38	15	implementation	implementation	NOUN
ijassa-594	38	16	of	of	ADP
ijassa-594	38	17	wrapper	wrapper	NOUN
ijassa-594	38	18	code	code	NOUN
ijassa-594	38	19	to	to	ADP
ijassa-594	38	20	system	system	NOUN
ijassa-594	38	21	-	-	PUNCT
ijassa-594	38	22	level	level	NOUN
ijassa-594	38	23	functions	function	NOUN
ijassa-594	38	24	for	for	ADP
ijassa-594	38	25	inter	inter	ADJ
ijassa-594	38	26	-	-	ADJ
ijassa-594	38	27	process	process	NOUN
ijassa-594	38	28	exchange	exchange	NOUN
ijassa-594	38	29	using	use	VERB
ijassa-594	38	30	native	native	ADJ
ijassa-594	38	31	mpi	mpi	PROPN
ijassa-594	38	32	library	library	NOUN
ijassa-594	38	33	.	.	PUNCT
ijassa-594	39	1	as	as	SCONJ
ijassa-594	39	2	most	most	ADJ
ijassa-594	39	3	of	of	ADP
ijassa-594	39	4	modern	modern	ADJ
ijassa-594	39	5	supercomputers	supercomputer	NOUN
ijassa-594	39	6	run	run	VERB
ijassa-594	39	7	on	on	ADP
ijassa-594	39	8	linux	linux	PROPN
ijassa-594	39	9	operating	operating	NOUN
ijassa-594	39	10	system	system	NOUN
ijassa-594	39	11	,	,	PUNCT
ijassa-594	39	12	we	we	PRON
ijassa-594	39	13	have	have	AUX
ijassa-594	39	14	decided	decide	VERB
ijassa-594	39	15	to	to	PART
ijassa-594	39	16	use	use	VERB
ijassa-594	39	17	microsoft	microsoft	PROPN
ijassa-594	39	18	.net	.net	PROPN
ijassa-594	39	19	core	core	PROPN
ijassa-594	39	20	and	and	CCONJ
ijassa-594	39	21	mono	mono	X
ijassa-594	39	22	[	[	X
ijassa-594	39	23	10	10	NUM
ijassa-594	39	24	]	]	SYM
ijassa-594	39	25	implementations	implementation	NOUN
ijassa-594	39	26	of	of	ADP
ijassa-594	39	27	.net	.net	NOUN
ijassa-594	39	28	platform	platform	NOUN
ijassa-594	39	29	available	available	ADJ
ijassa-594	39	30	for	for	ADP
ijassa-594	39	31	this	this	DET
ijassa-594	39	32	os	os	NOUN
ijassa-594	39	33	.	.	PUNCT
ijassa-594	40	1	the	the	DET
ijassa-594	40	2	choice	choice	NOUN
ijassa-594	40	3	of	of	ADP
ijassa-594	40	4	these	these	DET
ijassa-594	40	5	technologies	technology	NOUN
ijassa-594	40	6	was	be	AUX
ijassa-594	40	7	determined	determine	VERB
ijassa-594	40	8	by	by	ADP
ijassa-594	40	9	the	the	DET
ijassa-594	40	10	following	follow	VERB
ijassa-594	40	11	criteria	criterion	NOUN
ijassa-594	40	12	:	:	PUNCT
ijassa-594	41	1	1	1	X
ijassa-594	41	2	.	.	X
ijassa-594	42	1	the	the	DET
ijassa-594	42	2	system	system	NOUN
ijassa-594	42	3	has	have	VERB
ijassa-594	42	4	to	to	PART
ijassa-594	42	5	be	be	AUX
ijassa-594	42	6	scalable	scalable	ADJ
ijassa-594	42	7	across	across	ADP
ijassa-594	42	8	multiple	multiple	ADJ
ijassa-594	42	9	computational	computational	ADJ
ijassa-594	42	10	cluster	cluster	NOUN
ijassa-594	42	11	nodes	node	NOUN
ijassa-594	42	12	(	(	PUNCT
ijassa-594	42	13	i.e.	i.e.	X
ijassa-594	42	14	use	use	VERB
ijassa-594	42	15	resource	resource	NOUN
ijassa-594	42	16	of	of	ADP
ijassa-594	42	17	multiple	multiple	ADJ
ijassa-594	42	18	nodes	node	NOUN
ijassa-594	42	19	for	for	ADP
ijassa-594	42	20	speedup	speedup	NOUN
ijassa-594	42	21	)	)	PUNCT
ijassa-594	42	22	therefore	therefore	ADV
ijassa-594	42	23	the	the	DET
ijassa-594	42	24	multithreading	multithreade	VERB
ijassa-594	42	25	calculation	calculation	NOUN
ijassa-594	42	26	model	model	NOUN
ijassa-594	42	27	was	be	AUX
ijassa-594	42	28	not	not	PART
ijassa-594	42	29	suitable	suitable	ADJ
ijassa-594	42	30	as	as	SCONJ
ijassa-594	42	31	it	it	PRON
ijassa-594	42	32	is	be	AUX
ijassa-594	42	33	limited	limit	VERB
ijassa-594	42	34	to	to	ADP
ijassa-594	42	35	single	single	ADJ
ijassa-594	42	36	cluster	cluster	NOUN
ijassa-594	42	37	node	node	NOUN
ijassa-594	42	38	.	.	PUNCT
ijassa-594	43	1	2	2	X
ijassa-594	43	2	.	.	X
ijassa-594	43	3	the	the	DET
ijassa-594	43	4	model	model	NOUN
ijassa-594	43	5	should	should	AUX
ijassa-594	43	6	be	be	AUX
ijassa-594	43	7	easy	easy	ADJ
ijassa-594	43	8	to	to	PART
ijassa-594	43	9	develop	develop	VERB
ijassa-594	43	10	and	and	CCONJ
ijassa-594	43	11	maintain	maintain	VERB
ijassa-594	43	12	and	and	CCONJ
ijassa-594	43	13	therefore	therefore	ADV
ijassa-594	43	14	the	the	DET
ijassa-594	43	15	high	high	ADJ
ijassa-594	43	16	-	-	PUNCT
ijassa-594	43	17	level	level	NOUN
ijassa-594	43	18	programming	programming	NOUN
ijassa-594	43	19	language	language	NOUN
ijassa-594	43	20	c	c	NOUN
ijassa-594	43	21	#	#	NOUN
ijassa-594	43	22	was	be	AUX
ijassa-594	43	23	used	use	VERB
ijassa-594	43	24	.	.	PUNCT
ijassa-594	44	1	3	3	X
ijassa-594	44	2	.	.	X
ijassa-594	44	3	the	the	DET
ijassa-594	44	4	system	system	NOUN
ijassa-594	44	5	should	should	AUX
ijassa-594	44	6	be	be	AUX
ijassa-594	44	7	efficient	efficient	ADJ
ijassa-594	44	8	and	and	CCONJ
ijassa-594	44	9	therefore	therefore	ADV
ijassa-594	44	10	the	the	DET
ijassa-594	44	11	native	native	ADJ
ijassa-594	44	12	mpi	mpi	PROPN
ijassa-594	44	13	library	library	NOUN
ijassa-594	44	14	was	be	AUX
ijassa-594	44	15	used	use	VERB
ijassa-594	44	16	instead	instead	ADV
ijassa-594	44	17	of	of	ADP
ijassa-594	44	18	tcp	tcp	PROPN
ijassa-594	44	19	/	/	SYM
ijassa-594	44	20	ip	ip	NOUN
ijassa-594	44	21	sockets	socket	NOUN
ijassa-594	44	22	or	or	CCONJ
ijassa-594	44	23	.net	.net	NOUN
ijassa-594	44	24	libraries	library	NOUN
ijassa-594	44	25	like	like	VERB
ijassa-594	44	26	windows	windows	PROPN
ijassa-594	44	27	communication	communication	NOUN
ijassa-594	44	28	foundation	foundation	NOUN
ijassa-594	44	29	as	as	SCONJ
ijassa-594	44	30	these	these	DET
ijassa-594	44	31	technologies	technology	NOUN
ijassa-594	44	32	are	be	AUX
ijassa-594	44	33	not	not	PART
ijassa-594	44	34	optimal	optimal	ADJ
ijassa-594	44	35	for	for	ADP
ijassa-594	44	36	supercomputers	supercomputer	NOUN
ijassa-594	44	37	and	and	CCONJ
ijassa-594	44	38	hpc	hpc	PROPN
ijassa-594	44	39	applications	application	NOUN
ijassa-594	44	40	.	.	PUNCT
ijassa-594	45	1	mpi	mpi	ADJ
ijassa-594	45	2	libraries	library	NOUN
ijassa-594	45	3	installed	instal	VERB
ijassa-594	45	4	on	on	ADP
ijassa-594	45	5	each	each	DET
ijassa-594	45	6	cluster	cluster	NOUN
ijassa-594	45	7	computer	computer	NOUN
ijassa-594	45	8	are	be	AUX
ijassa-594	45	9	usually	usually	ADV
ijassa-594	45	10	tuned	tune	VERB
ijassa-594	45	11	for	for	ADP
ijassa-594	45	12	particular	particular	ADJ
ijassa-594	45	13	proprietary	proprietary	ADJ
ijassa-594	45	14	network	network	NOUN
ijassa-594	45	15	system	system	NOUN
ijassa-594	45	16	which	which	PRON
ijassa-594	45	17	is	be	AUX
ijassa-594	45	18	used	use	VERB
ijassa-594	45	19	on	on	ADP
ijassa-594	45	20	the	the	DET
ijassa-594	45	21	cluster	cluster	NOUN
ijassa-594	45	22	such	such	ADJ
ijassa-594	45	23	as	as	ADP
ijassa-594	45	24	infiniband	infiniband	NOUN
ijassa-594	45	25	.	.	PUNCT
ijassa-594	46	1	4	4	X
ijassa-594	46	2	.	.	X
ijassa-594	46	3	the	the	DET
ijassa-594	46	4	program	program	NOUN
ijassa-594	46	5	should	should	AUX
ijassa-594	46	6	be	be	AUX
ijassa-594	46	7	portable	portable	ADJ
ijassa-594	46	8	and	and	CCONJ
ijassa-594	46	9	should	should	AUX
ijassa-594	46	10	be	be	AUX
ijassa-594	46	11	compatible	compatible	ADJ
ijassa-594	46	12	with	with	ADP
ijassa-594	46	13	any	any	DET
ijassa-594	46	14	operating	operate	VERB
ijassa-594	46	15	system	system	NOUN
ijassa-594	46	16	i.e.	i.e.	ADV
ijassa-594	46	17	running	run	VERB
ijassa-594	46	18	on	on	ADP
ijassa-594	46	19	both	both	DET
ijassa-594	46	20	developer	developer	NOUN
ijassa-594	46	21	workstations	workstation	NOUN
ijassa-594	46	22	and	and	CCONJ
ijassa-594	46	23	on	on	ADP
ijassa-594	46	24	cluster	cluster	NOUN
ijassa-594	46	25	computers	computer	NOUN
ijassa-594	46	26	.	.	PUNCT
ijassa-594	47	1	5	5	X
ijassa-594	47	2	.	.	PUNCT
ijassa-594	47	3	the	the	DET
ijassa-594	47	4	results	result	NOUN
ijassa-594	47	5	of	of	ADP
ijassa-594	47	6	the	the	DET
ijassa-594	47	7	simulation	simulation	NOUN
ijassa-594	47	8	should	should	AUX
ijassa-594	47	9	not	not	PART
ijassa-594	47	10	depend	depend	VERB
ijassa-594	47	11	significantly	significantly	ADV
ijassa-594	47	12	on	on	ADP
ijassa-594	47	13	the	the	DET
ijassa-594	47	14	number	number	NOUN
ijassa-594	47	15	of	of	ADP
ijassa-594	47	16	processors	processor	NOUN
ijassa-594	47	17	used	use	VERB
ijassa-594	47	18	for	for	ADP
ijassa-594	47	19	the	the	DET
ijassa-594	47	20	calculation	calculation	NOUN
ijassa-594	47	21	.	.	PUNCT
ijassa-594	48	1	all	all	DET
ijassa-594	48	2	interactions	interaction	NOUN
ijassa-594	48	3	between	between	ADP
ijassa-594	48	4	agents	agent	NOUN
ijassa-594	48	5	on	on	ADP
ijassa-594	48	6	different	different	ADJ
ijassa-594	48	7	processes	process	NOUN
ijassa-594	48	8	on	on	ADP
ijassa-594	48	9	each	each	DET
ijassa-594	48	10	simulation	simulation	NOUN
ijassa-594	48	11	step	step	NOUN
ijassa-594	48	12	should	should	AUX
ijassa-594	48	13	be	be	AUX
ijassa-594	48	14	taken	take	VERB
ijassa-594	48	15	into	into	ADP
ijassa-594	48	16	account	account	NOUN
ijassa-594	48	17	.	.	PUNCT
ijassa-594	49	1	the	the	DET
ijassa-594	49	2	simulation	simulation	NOUN
ijassa-594	49	3	solution	solution	NOUN
ijassa-594	49	4	calculated	calculate	VERB
ijassa-594	49	5	on	on	ADP
ijassa-594	49	6	different	different	ADJ
ijassa-594	49	7	number	number	NOUN
ijassa-594	49	8	of	of	ADP
ijassa-594	49	9	processors	processor	NOUN
ijassa-594	49	10	can	can	AUX
ijassa-594	49	11	still	still	ADV
ijassa-594	49	12	be	be	AUX
ijassa-594	49	13	different	different	ADJ
ijassa-594	49	14	due	due	ADP
ijassa-594	49	15	to	to	ADP
ijassa-594	49	16	the	the	DET
ijassa-594	49	17	difference	difference	NOUN
ijassa-594	49	18	in	in	ADP
ijassa-594	49	19	the	the	DET
ijassa-594	49	20	order	order	NOUN
ijassa-594	49	21	of	of	ADP
ijassa-594	49	22	operations	operation	NOUN
ijassa-594	49	23	(	(	PUNCT
ijassa-594	49	24	due	due	ADP
ijassa-594	49	25	to	to	ADP
ijassa-594	49	26	the	the	DET
ijassa-594	49	27	limited	limited	ADJ
ijassa-594	49	28	float	float	NOUN
ijassa-594	49	29	point	point	NOUN
ijassa-594	49	30	numbers	number	NOUN
ijassa-594	49	31	precision	precision	NOUN
ijassa-594	49	32	)	)	PUNCT
ijassa-594	49	33	and	and	CCONJ
ijassa-594	49	34	the	the	DET
ijassa-594	49	35	difference	difference	NOUN
ijassa-594	49	36	in	in	ADP
ijassa-594	49	37	the	the	DET
ijassa-594	49	38	random	random	ADJ
ijassa-594	49	39	number	number	NOUN
ijassa-594	49	40	sequence	sequence	NOUN
ijassa-594	49	41	(	(	PUNCT
ijassa-594	49	42	each	each	DET
ijassa-594	49	43	process	process	NOUN
ijassa-594	49	44	has	have	AUX
ijassa-594	49	45	its	its	PRON
ijassa-594	49	46	own	own	ADJ
ijassa-594	49	47	independent	independent	ADJ
ijassa-594	49	48	random	random	ADJ
ijassa-594	49	49	number	number	NOUN
ijassa-594	49	50	sequence	sequence	NOUN
ijassa-594	49	51	)	)	PUNCT
ijassa-594	49	52	.	.	PUNCT
ijassa-594	50	1	an	an	DET
ijassa-594	50	2	efficient	efficient	ADJ
ijassa-594	50	3	mechanism	mechanism	NOUN
ijassa-594	50	4	of	of	ADP
ijassa-594	50	5	message	message	NOUN
ijassa-594	50	6	exchange	exchange	NOUN
ijassa-594	50	7	between	between	ADP
ijassa-594	50	8	agents	agent	NOUN
ijassa-594	50	9	was	be	AUX
ijassa-594	50	10	implemented	implement	VERB
ijassa-594	50	11	by	by	ADP
ijassa-594	50	12	means	mean	NOUN
ijassa-594	50	13	of	of	ADP
ijassa-594	50	14	message	message	NOUN
ijassa-594	50	15	queue	queue	NOUN
ijassa-594	50	16	and	and	CCONJ
ijassa-594	50	17	native	native	ADJ
ijassa-594	50	18	mpi	mpi	ADJ
ijassa-594	50	19	collective	collective	ADJ
ijassa-594	50	20	operations	operation	NOUN
ijassa-594	50	21	.	.	PUNCT
ijassa-594	51	1	the	the	DET
ijassa-594	51	2	message	message	NOUN
ijassa-594	51	3	queue	queue	NOUN
ijassa-594	51	4	accumulates	accumulate	VERB
ijassa-594	51	5	a	a	DET
ijassa-594	51	6	buffer	buffer	NOUN
ijassa-594	51	7	of	of	ADP
ijassa-594	51	8	messages	message	NOUN
ijassa-594	51	9	to	to	ADP
ijassa-594	51	10	different	different	ADJ
ijassa-594	51	11	processes	process	NOUN
ijassa-594	51	12	and	and	CCONJ
ijassa-594	51	13	then	then	ADV
ijassa-594	51	14	uses	use	VERB
ijassa-594	51	15	mpi	mpi	PROPN
ijassa-594	51	16	alltoall	alltoall	PROPN
ijassa-594	51	17	exchange	exchange	PROPN
ijassa-594	51	18	operation	operation	NOUN
ijassa-594	51	19	to	to	PART
ijassa-594	51	20	deliver	deliver	VERB
ijassa-594	51	21	contents	content	NOUN
ijassa-594	51	22	of	of	ADP
ijassa-594	51	23	messages	message	NOUN
ijassa-594	51	24	.	.	PUNCT
ijassa-594	52	1	this	this	DET
ijassa-594	52	2	operation	operation	NOUN
ijassa-594	52	3	delivers	deliver	VERB
ijassa-594	52	4	the	the	DET
ijassa-594	52	5	buffers	buffer	NOUN
ijassa-594	52	6	of	of	ADP
ijassa-594	52	7	the	the	DET
ijassa-594	52	8	implementation	implementation	NOUN
ijassa-594	52	9	of	of	ADP
ijassa-594	52	10	the	the	DET
ijassa-594	52	11	scalable	scalable	ADJ
ijassa-594	52	12	modelling	modelling	NOUN
ijassa-594	52	13	framework	framework	NOUN
ijassa-594	52	14	143	143	NUM
ijassa-594	52	15	copyright	copyright	NOUN
ijassa-594	52	16	©	©	PROPN
ijassa-594	52	17	2019	2019	NUM
ijassa-594	52	18	assa	assa	NOUN
ijassa-594	52	19	.	.	PUNCT
ijassa-594	53	1	adv	adv	PROPN
ijassa-594	53	2	.	.	PUNCT
ijassa-594	54	1	in	in	ADP
ijassa-594	54	2	systems	system	NOUN
ijassa-594	54	3	science	science	NOUN
ijassa-594	54	4	and	and	CCONJ
ijassa-594	54	5	appl	appl	NOUN
ijassa-594	54	6	.	.	PUNCT
ijassa-594	55	1	(	(	PUNCT
ijassa-594	55	2	2019	2019	NUM
ijassa-594	55	3	)	)	PUNCT
ijassa-594	55	4	arbitrary	arbitrary	ADJ
ijassa-594	55	5	size	size	NOUN
ijassa-594	55	6	from	from	ADP
ijassa-594	55	7	each	each	DET
ijassa-594	55	8	mpi	mpi	ADJ
ijassa-594	55	9	process	process	NOUN
ijassa-594	55	10	to	to	ADP
ijassa-594	55	11	all	all	DET
ijassa-594	55	12	other	other	ADJ
ijassa-594	55	13	processes	process	NOUN
ijassa-594	55	14	in	in	ADP
ijassa-594	55	15	most	most	ADV
ijassa-594	55	16	efficient	efficient	ADJ
ijassa-594	55	17	way	way	NOUN
ijassa-594	55	18	by	by	ADP
ijassa-594	55	19	splitting	split	VERB
ijassa-594	55	20	the	the	DET
ijassa-594	55	21	buffer	buffer	NOUN
ijassa-594	55	22	into	into	ADP
ijassa-594	55	23	chunks	chunk	NOUN
ijassa-594	55	24	of	of	ADP
ijassa-594	55	25	optimal	optimal	ADJ
ijassa-594	55	26	size	size	NOUN
ijassa-594	55	27	for	for	ADP
ijassa-594	55	28	network	network	NOUN
ijassa-594	55	29	transfer	transfer	NOUN
ijassa-594	55	30	and	and	CCONJ
ijassa-594	55	31	hiding	hide	VERB
ijassa-594	55	32	the	the	DET
ijassa-594	55	33	latency	latency	NOUN
ijassa-594	55	34	of	of	ADP
ijassa-594	55	35	network	network	NOUN
ijassa-594	55	36	operations	operation	NOUN
ijassa-594	55	37	by	by	ADP
ijassa-594	55	38	performing	perform	VERB
ijassa-594	55	39	simultaneous	simultaneous	ADJ
ijassa-594	55	40	several	several	ADJ
ijassa-594	55	41	send	send	NOUN
ijassa-594	55	42	and	and	CCONJ
ijassa-594	55	43	receive	receive	VERB
ijassa-594	55	44	operations	operation	NOUN
ijassa-594	55	45	.	.	PUNCT
ijassa-594	56	1	to	to	PART
ijassa-594	56	2	use	use	VERB
ijassa-594	56	3	native	native	ADJ
ijassa-594	56	4	operations	operation	NOUN
ijassa-594	56	5	with	with	ADP
ijassa-594	56	6	managed	manage	VERB
ijassa-594	56	7	c	c	NOUN
ijassa-594	56	8	#	#	NOUN
ijassa-594	56	9	objects	object	VERB
ijassa-594	56	10	operations	operation	NOUN
ijassa-594	56	11	of	of	ADP
ijassa-594	56	12	binary	binary	ADJ
ijassa-594	56	13	serialization	serialization	NOUN
ijassa-594	56	14	and	and	CCONJ
ijassa-594	56	15	deserialization	deserialization	NOUN
ijassa-594	56	16	of	of	ADP
ijassa-594	56	17	objects	object	NOUN
ijassa-594	56	18	were	be	AUX
ijassa-594	56	19	implemented	implement	VERB
ijassa-594	56	20	and	and	CCONJ
ijassa-594	56	21	c	c	NOUN
ijassa-594	56	22	#	#	NOUN
ijassa-594	56	23	wrappers	wrapper	NOUN
ijassa-594	56	24	for	for	ADP
ijassa-594	56	25	native	native	ADJ
ijassa-594	56	26	functions	function	NOUN
ijassa-594	56	27	were	be	AUX
ijassa-594	56	28	written	write	VERB
ijassa-594	56	29	.	.	PUNCT
ijassa-594	57	1	2.1	2.1	NUM
ijassa-594	57	2	the	the	DET
ijassa-594	57	3	system	system	NOUN
ijassa-594	57	4	decomposition	decomposition	NOUN
ijassa-594	57	5	algorithm	algorithm	NOUN
ijassa-594	57	6	the	the	DET
ijassa-594	57	7	modeled	model	VERB
ijassa-594	57	8	system	system	NOUN
ijassa-594	57	9	consists	consist	VERB
ijassa-594	57	10	of	of	ADP
ijassa-594	57	11	a	a	DET
ijassa-594	57	12	large	large	ADJ
ijassa-594	57	13	number	number	NOUN
ijassa-594	57	14	of	of	ADP
ijassa-594	57	15	agents	agent	NOUN
ijassa-594	57	16	connected	connect	VERB
ijassa-594	57	17	with	with	ADP
ijassa-594	57	18	each	each	DET
ijassa-594	57	19	other	other	ADJ
ijassa-594	57	20	by	by	ADP
ijassa-594	57	21	the	the	DET
ijassa-594	57	22	number	number	NOUN
ijassa-594	57	23	of	of	ADP
ijassa-594	57	24	social	social	ADJ
ijassa-594	57	25	links	link	NOUN
ijassa-594	57	26	.	.	PUNCT
ijassa-594	58	1	to	to	PART
ijassa-594	58	2	perform	perform	VERB
ijassa-594	58	3	an	an	DET
ijassa-594	58	4	efficient	efficient	ADJ
ijassa-594	58	5	simulation	simulation	NOUN
ijassa-594	58	6	of	of	ADP
ijassa-594	58	7	the	the	DET
ijassa-594	58	8	system	system	NOUN
ijassa-594	58	9	it	it	PRON
ijassa-594	58	10	is	be	AUX
ijassa-594	58	11	necessary	necessary	ADJ
ijassa-594	58	12	to	to	PART
ijassa-594	58	13	split	split	VERB
ijassa-594	58	14	the	the	DET
ijassa-594	58	15	set	set	NOUN
ijassa-594	58	16	of	of	ADP
ijassa-594	58	17	agents	agent	NOUN
ijassa-594	58	18	between	between	ADP
ijassa-594	58	19	mpi	mpi	PROPN
ijassa-594	58	20	processes	process	NOUN
ijassa-594	58	21	taking	take	VERB
ijassa-594	58	22	into	into	ADP
ijassa-594	58	23	account	account	NOUN
ijassa-594	58	24	their	their	PRON
ijassa-594	58	25	links	link	NOUN
ijassa-594	58	26	with	with	ADP
ijassa-594	58	27	other	other	ADJ
ijassa-594	58	28	agents	agent	NOUN
ijassa-594	58	29	.	.	PUNCT
ijassa-594	59	1	this	this	DET
ijassa-594	59	2	distribution	distribution	NOUN
ijassa-594	59	3	of	of	ADP
ijassa-594	59	4	agents	agent	NOUN
ijassa-594	59	5	between	between	ADP
ijassa-594	59	6	processes	process	NOUN
ijassa-594	59	7	determines	determine	VERB
ijassa-594	59	8	the	the	DET
ijassa-594	59	9	parallel	parallel	ADJ
ijassa-594	59	10	scalability	scalability	NOUN
ijassa-594	59	11	of	of	ADP
ijassa-594	59	12	the	the	DET
ijassa-594	59	13	program	program	NOUN
ijassa-594	59	14	.	.	PUNCT
ijassa-594	60	1	the	the	DET
ijassa-594	60	2	quality	quality	NOUN
ijassa-594	60	3	of	of	ADP
ijassa-594	60	4	the	the	DET
ijassa-594	60	5	decomposition	decomposition	NOUN
ijassa-594	60	6	is	be	AUX
ijassa-594	60	7	determined	determine	VERB
ijassa-594	60	8	by	by	ADP
ijassa-594	60	9	the	the	DET
ijassa-594	60	10	balance	balance	NOUN
ijassa-594	60	11	of	of	ADP
ijassa-594	60	12	the	the	DET
ijassa-594	60	13	agents	agent	NOUN
ijassa-594	60	14	count	count	VERB
ijassa-594	60	15	on	on	ADP
ijassa-594	60	16	different	different	ADJ
ijassa-594	60	17	processes	process	NOUN
ijassa-594	60	18	and	and	CCONJ
ijassa-594	60	19	the	the	DET
ijassa-594	60	20	number	number	NOUN
ijassa-594	60	21	of	of	ADP
ijassa-594	60	22	links	link	NOUN
ijassa-594	60	23	between	between	ADP
ijassa-594	60	24	agents	agent	NOUN
ijassa-594	60	25	assigned	assign	VERB
ijassa-594	60	26	to	to	ADP
ijassa-594	60	27	different	different	ADJ
ijassa-594	60	28	processes	process	NOUN
ijassa-594	60	29	.	.	PUNCT
ijassa-594	61	1	the	the	DET
ijassa-594	61	2	decomposition	decomposition	NOUN
ijassa-594	61	3	of	of	ADP
ijassa-594	61	4	a	a	DET
ijassa-594	61	5	graph	graph	NOUN
ijassa-594	61	6	of	of	ADP
ijassa-594	61	7	agents	agent	NOUN
ijassa-594	61	8	with	with	ADP
ijassa-594	61	9	links	link	NOUN
ijassa-594	61	10	can	can	AUX
ijassa-594	61	11	be	be	AUX
ijassa-594	61	12	performed	perform	VERB
ijassa-594	61	13	by	by	ADP
ijassa-594	61	14	the	the	DET
ijassa-594	61	15	application	application	NOUN
ijassa-594	61	16	of	of	ADP
ijassa-594	61	17	graph	graph	NOUN
ijassa-594	61	18	decomposition	decomposition	NOUN
ijassa-594	61	19	algorithms	algorithm	NOUN
ijassa-594	61	20	such	such	ADJ
ijassa-594	61	21	as	as	ADP
ijassa-594	61	22	metis	metis	NOUN
ijassa-594	61	23	[	[	X
ijassa-594	61	24	1	1	NUM
ijassa-594	61	25	]	]	PUNCT
ijassa-594	61	26	,	,	PUNCT
ijassa-594	61	27	scotch	scotch	NOUN
ijassa-594	61	28	[	[	X
ijassa-594	61	29	11	11	NUM
ijassa-594	61	30	]	]	PUNCT
ijassa-594	61	31	or	or	CCONJ
ijassa-594	61	32	jostle	jostle	VERB
ijassa-594	62	1	[	[	X
ijassa-594	62	2	12	12	NUM
ijassa-594	62	3	]	]	PUNCT
ijassa-594	62	4	.	.	PUNCT
ijassa-594	63	1	these	these	DET
ijassa-594	63	2	algorithms	algorithm	NOUN
ijassa-594	63	3	provide	provide	VERB
ijassa-594	63	4	a	a	DET
ijassa-594	63	5	computationally	computationally	ADV
ijassa-594	63	6	efficient	efficient	ADJ
ijassa-594	63	7	way	way	NOUN
ijassa-594	63	8	of	of	ADP
ijassa-594	63	9	decomposition	decomposition	NOUN
ijassa-594	63	10	of	of	ADP
ijassa-594	63	11	large	large	ADJ
ijassa-594	63	12	graphs	graph	NOUN
ijassa-594	63	13	into	into	ADP
ijassa-594	63	14	parts	part	NOUN
ijassa-594	63	15	of	of	ADP
ijassa-594	63	16	equal	equal	ADJ
ijassa-594	63	17	size	size	NOUN
ijassa-594	63	18	with	with	ADP
ijassa-594	63	19	minimal	minimal	ADJ
ijassa-594	63	20	borders	border	NOUN
ijassa-594	63	21	between	between	ADP
ijassa-594	63	22	them	they	PRON
ijassa-594	63	23	.	.	PUNCT
ijassa-594	64	1	such	such	ADJ
ijassa-594	64	2	approach	approach	NOUN
ijassa-594	64	3	leads	lead	VERB
ijassa-594	64	4	to	to	ADP
ijassa-594	64	5	a	a	DET
ijassa-594	64	6	best	good	ADJ
ijassa-594	64	7	possible	possible	ADJ
ijassa-594	64	8	system	system	NOUN
ijassa-594	64	9	decomposition	decomposition	NOUN
ijassa-594	64	10	with	with	ADP
ijassa-594	64	11	a	a	DET
ijassa-594	64	12	fine	fine	ADJ
ijassa-594	64	13	distribution	distribution	NOUN
ijassa-594	64	14	of	of	ADP
ijassa-594	64	15	agents	agent	NOUN
ijassa-594	64	16	but	but	CCONJ
ijassa-594	64	17	it	it	PRON
ijassa-594	64	18	also	also	ADV
ijassa-594	64	19	leads	lead	VERB
ijassa-594	64	20	to	to	ADP
ijassa-594	64	21	a	a	DET
ijassa-594	64	22	number	number	NOUN
ijassa-594	64	23	of	of	ADP
ijassa-594	64	24	drawbacks	drawback	NOUN
ijassa-594	64	25	:	:	PUNCT
ijassa-594	64	26	1	1	X
ijassa-594	64	27	)	)	PUNCT
ijassa-594	64	28	it	it	PRON
ijassa-594	64	29	requires	require	VERB
ijassa-594	64	30	the	the	DET
ijassa-594	64	31	formation	formation	NOUN
ijassa-594	64	32	and	and	CCONJ
ijassa-594	64	33	a	a	DET
ijassa-594	64	34	decomposition	decomposition	NOUN
ijassa-594	64	35	of	of	ADP
ijassa-594	64	36	a	a	DET
ijassa-594	64	37	sparse	sparse	ADJ
ijassa-594	64	38	matrix	matrix	NOUN
ijassa-594	64	39	of	of	ADP
ijassa-594	64	40	size	size	NOUN
ijassa-594	64	41	n	n	CCONJ
ijassa-594	64	42	,	,	PUNCT
ijassa-594	64	43	where	where	SCONJ
ijassa-594	64	44	n	n	X
ijassa-594	64	45	is	be	AUX
ijassa-594	64	46	the	the	DET
ijassa-594	64	47	total	total	ADJ
ijassa-594	64	48	number	number	NOUN
ijassa-594	64	49	of	of	ADP
ijassa-594	64	50	agents	agent	NOUN
ijassa-594	64	51	,	,	PUNCT
ijassa-594	64	52	2	2	X
ijassa-594	64	53	)	)	PUNCT
ijassa-594	64	54	each	each	DET
ijassa-594	64	55	change	change	NOUN
ijassa-594	64	56	of	of	ADP
ijassa-594	64	57	a	a	DET
ijassa-594	64	58	number	number	NOUN
ijassa-594	64	59	of	of	ADP
ijassa-594	64	60	agent	agent	NOUN
ijassa-594	64	61	due	due	ADP
ijassa-594	64	62	to	to	ADP
ijassa-594	64	63	agent	agent	NOUN
ijassa-594	64	64	’s	’s	PART
ijassa-594	64	65	birth	birth	NOUN
ijassa-594	64	66	or	or	CCONJ
ijassa-594	64	67	death	death	NOUN
ijassa-594	64	68	leads	lead	VERB
ijassa-594	64	69	to	to	ADP
ijassa-594	64	70	a	a	DET
ijassa-594	64	71	recalculation	recalculation	NOUN
ijassa-594	64	72	of	of	ADP
ijassa-594	64	73	the	the	DET
ijassa-594	64	74	decomposition	decomposition	NOUN
ijassa-594	64	75	.	.	PUNCT
ijassa-594	65	1	in	in	ADP
ijassa-594	65	2	order	order	NOUN
ijassa-594	65	3	to	to	PART
ijassa-594	65	4	calculate	calculate	VERB
ijassa-594	65	5	the	the	DET
ijassa-594	65	6	decomposition	decomposition	NOUN
ijassa-594	65	7	in	in	ADP
ijassa-594	65	8	a	a	DET
ijassa-594	65	9	more	more	ADV
ijassa-594	65	10	efficient	efficient	ADJ
ijassa-594	65	11	way	way	NOUN
ijassa-594	65	12	the	the	DET
ijassa-594	65	13	system	system	NOUN
ijassa-594	65	14	was	be	AUX
ijassa-594	65	15	split	split	VERB
ijassa-594	65	16	by	by	ADP
ijassa-594	65	17	a	a	DET
ijassa-594	65	18	rectangular	rectangular	ADJ
ijassa-594	65	19	grid	grid	NOUN
ijassa-594	65	20	covering	cover	VERB
ijassa-594	65	21	all	all	DET
ijassa-594	65	22	regions	region	NOUN
ijassa-594	65	23	.	.	PUNCT
ijassa-594	66	1	the	the	DET
ijassa-594	66	2	decomposition	decomposition	NOUN
ijassa-594	66	3	of	of	ADP
ijassa-594	66	4	cells	cell	NOUN
ijassa-594	66	5	is	be	AUX
ijassa-594	66	6	much	much	ADV
ijassa-594	66	7	faster	fast	ADJ
ijassa-594	66	8	due	due	ADJ
ijassa-594	66	9	to	to	ADP
ijassa-594	66	10	smaller	small	ADJ
ijassa-594	66	11	matrix	matrix	NOUN
ijassa-594	66	12	and	and	CCONJ
ijassa-594	66	13	does	do	AUX
ijassa-594	66	14	n’t	not	PART
ijassa-594	66	15	require	require	VERB
ijassa-594	66	16	recalculation	recalculation	NOUN
ijassa-594	66	17	of	of	ADP
ijassa-594	66	18	the	the	DET
ijassa-594	66	19	decomposition	decomposition	NOUN
ijassa-594	66	20	after	after	SCONJ
ijassa-594	66	21	each	each	DET
ijassa-594	66	22	time	time	NOUN
ijassa-594	66	23	step	step	NOUN
ijassa-594	66	24	as	as	SCONJ
ijassa-594	66	25	the	the	DET
ijassa-594	66	26	distribution	distribution	NOUN
ijassa-594	66	27	of	of	ADP
ijassa-594	66	28	population	population	NOUN
ijassa-594	66	29	changes	change	VERB
ijassa-594	66	30	slowly	slowly	ADV
ijassa-594	66	31	with	with	ADP
ijassa-594	66	32	time	time	NOUN
ijassa-594	66	33	.	.	PUNCT
ijassa-594	67	1	due	due	ADP
ijassa-594	67	2	to	to	ADP
ijassa-594	67	3	the	the	DET
ijassa-594	67	4	small	small	ADJ
ijassa-594	67	5	size	size	NOUN
ijassa-594	67	6	of	of	ADP
ijassa-594	67	7	the	the	DET
ijassa-594	67	8	input	input	NOUN
ijassa-594	67	9	matrix	matrix	NOUN
ijassa-594	67	10	the	the	DET
ijassa-594	67	11	decomposition	decomposition	NOUN
ijassa-594	67	12	can	can	AUX
ijassa-594	67	13	be	be	AUX
ijassa-594	67	14	performed	perform	VERB
ijassa-594	67	15	using	use	VERB
ijassa-594	67	16	sequential	sequential	ADJ
ijassa-594	67	17	version	version	NOUN
ijassa-594	67	18	of	of	ADP
ijassa-594	67	19	metis	metis	NOUN
ijassa-594	67	20	algorithm	algorithm	NOUN
ijassa-594	67	21	without	without	ADP
ijassa-594	67	22	sensible	sensible	ADJ
ijassa-594	67	23	impact	impact	NOUN
ijassa-594	67	24	on	on	ADP
ijassa-594	67	25	the	the	DET
ijassa-594	67	26	parallel	parallel	ADJ
ijassa-594	67	27	performance	performance	NOUN
ijassa-594	67	28	of	of	ADP
ijassa-594	67	29	the	the	DET
ijassa-594	67	30	simulation	simulation	NOUN
ijassa-594	67	31	.	.	PUNCT
ijassa-594	68	1	to	to	PART
ijassa-594	68	2	calculate	calculate	VERB
ijassa-594	68	3	the	the	DET
ijassa-594	68	4	decomposition	decomposition	NOUN
ijassa-594	68	5	of	of	ADP
ijassa-594	68	6	the	the	DET
ijassa-594	68	7	grid	grid	NOUN
ijassa-594	68	8	,	,	PUNCT
ijassa-594	68	9	a	a	DET
ijassa-594	68	10	graph	graph	NOUN
ijassa-594	68	11	metis	metis	NOUN
ijassa-594	68	12	algorithm	algorithm	NOUN
ijassa-594	68	13	with	with	ADP
ijassa-594	68	14	a	a	DET
ijassa-594	68	15	weighting	weighting	NOUN
ijassa-594	68	16	was	be	AUX
ijassa-594	68	17	used	use	VERB
ijassa-594	68	18	(	(	PUNCT
ijassa-594	68	19	metis_partgraphrecursive	metis_partgraphrecursive	ADJ
ijassa-594	68	20	)	)	PUNCT
ijassa-594	68	21	.	.	PUNCT
ijassa-594	69	1	the	the	DET
ijassa-594	69	2	metis	metis	PROPN
ijassa-594	69	3	algorithm	algorithm	NOUN
ijassa-594	69	4	takes	take	VERB
ijassa-594	69	5	an	an	DET
ijassa-594	69	6	input	input	NOUN
ijassa-594	69	7	on	on	ADP
ijassa-594	69	8	a	a	DET
ijassa-594	69	9	graph	graph	NOUN
ijassa-594	69	10	specified	specify	VERB
ijassa-594	69	11	through	through	ADP
ijassa-594	69	12	the	the	DET
ijassa-594	69	13	constraint	constraint	NOUN
ijassa-594	69	14	matrix	matrix	NOUN
ijassa-594	69	15	and	and	CCONJ
ijassa-594	69	16	an	an	DET
ijassa-594	69	17	array	array	NOUN
ijassa-594	69	18	of	of	ADP
ijassa-594	69	19	weights	weight	NOUN
ijassa-594	69	20	of	of	ADP
ijassa-594	69	21	the	the	DET
ijassa-594	69	22	nodes	node	NOUN
ijassa-594	69	23	of	of	ADP
ijassa-594	69	24	the	the	DET
ijassa-594	69	25	graph	graph	NOUN
ijassa-594	69	26	and	and	CCONJ
ijassa-594	69	27	returns	return	VERB
ijassa-594	69	28	the	the	DET
ijassa-594	69	29	optimal	optimal	ADJ
ijassa-594	69	30	distribution	distribution	NOUN
ijassa-594	69	31	of	of	ADP
ijassa-594	69	32	the	the	DET
ijassa-594	69	33	graph	graph	NOUN
ijassa-594	69	34	by	by	ADP
ijassa-594	69	35	a	a	DET
ijassa-594	69	36	given	give	VERB
ijassa-594	69	37	number	number	NOUN
ijassa-594	69	38	of	of	ADP
ijassa-594	69	39	parts	part	NOUN
ijassa-594	69	40	with	with	ADP
ijassa-594	69	41	minimizing	minimize	VERB
ijassa-594	69	42	the	the	DET
ijassa-594	69	43	links	link	NOUN
ijassa-594	69	44	between	between	ADP
ijassa-594	69	45	the	the	DET
ijassa-594	69	46	parts	part	NOUN
ijassa-594	69	47	.	.	PUNCT
ijassa-594	70	1	the	the	DET
ijassa-594	70	2	link	link	NOUN
ijassa-594	70	3	matrix	matrix	NOUN
ijassa-594	70	4	is	be	AUX
ijassa-594	70	5	given	give	VERB
ijassa-594	70	6	in	in	ADP
ijassa-594	70	7	csr	csr	X
ijassa-594	70	8	[	[	X
ijassa-594	70	9	13	13	NUM
ijassa-594	70	10	]	]	PUNCT
ijassa-594	70	11	format	format	NOUN
ijassa-594	70	12	i.e.	i.e.	X
ijassa-594	70	13	by	by	ADP
ijassa-594	70	14	the	the	DET
ijassa-594	70	15	number	number	NOUN
ijassa-594	70	16	of	of	ADP
ijassa-594	70	17	rows	row	NOUN
ijassa-594	70	18	(	(	PUNCT
ijassa-594	70	19	n	n	CCONJ
ijassa-594	70	20	)	)	PUNCT
ijassa-594	70	21	and	and	CCONJ
ijassa-594	70	22	two	two	NUM
ijassa-594	70	23	arrays	array	VERB
ijassa-594	70	24	ia	ia	PROPN
ijassa-594	70	25	and	and	CCONJ
ijassa-594	70	26	ja	ja	PROPN
ijassa-594	70	27	.	.	PUNCT
ijassa-594	71	1	the	the	DET
ijassa-594	71	2	array	array	PROPN
ijassa-594	71	3	ia	ia	PROPN
ijassa-594	71	4	contains	contain	VERB
ijassa-594	71	5	a	a	DET
ijassa-594	71	6	sequence	sequence	NOUN
ijassa-594	71	7	of	of	ADP
ijassa-594	71	8	partial	partial	ADJ
ijassa-594	71	9	sums	sum	NOUN
ijassa-594	71	10	of	of	ADP
ijassa-594	71	11	the	the	DET
ijassa-594	71	12	number	number	NOUN
ijassa-594	71	13	of	of	ADP
ijassa-594	71	14	nonzero	nonzero	ADJ
ijassa-594	71	15	elements	element	NOUN
ijassa-594	71	16	in	in	ADP
ijassa-594	71	17	the	the	DET
ijassa-594	71	18	matrix	matrix	NOUN
ijassa-594	71	19	.	.	PUNCT
ijassa-594	72	1	this	this	DET
ijassa-594	72	2	array	array	NOUN
ijassa-594	72	3	is	be	AUX
ijassa-594	72	4	used	use	VERB
ijassa-594	72	5	to	to	PART
ijassa-594	72	6	separate	separate	VERB
ijassa-594	72	7	the	the	DET
ijassa-594	72	8	elements	element	NOUN
ijassa-594	72	9	of	of	ADP
ijassa-594	72	10	the	the	DET
ijassa-594	72	11	ja	ja	PROPN
ijassa-594	72	12	array	array	NOUN
ijassa-594	72	13	by	by	ADP
ijassa-594	72	14	strings	string	NOUN
ijassa-594	72	15	.	.	PUNCT
ijassa-594	73	1	the	the	DET
ijassa-594	73	2	ja	ja	PROPN
ijassa-594	73	3	array	array	NOUN
ijassa-594	73	4	contains	contain	VERB
ijassa-594	73	5	index	index	NOUN
ijassa-594	73	6	lists	list	NOUN
ijassa-594	73	7	of	of	ADP
ijassa-594	73	8	non	non	ADJ
ijassa-594	73	9	-	-	ADJ
ijassa-594	73	10	zero	zero	NUM
ijassa-594	73	11	elements	element	NOUN
ijassa-594	73	12	in	in	ADP
ijassa-594	73	13	all	all	DET
ijassa-594	73	14	rows	row	NOUN
ijassa-594	73	15	.	.	PUNCT
ijassa-594	74	1	in	in	ADP
ijassa-594	74	2	the	the	DET
ijassa-594	74	3	test	test	NOUN
ijassa-594	74	4	example	example	NOUN
ijassa-594	74	5	,	,	PUNCT
ijassa-594	74	6	the	the	DET
ijassa-594	74	7	size	size	NOUN
ijassa-594	74	8	of	of	ADP
ijassa-594	74	9	the	the	DET
ijassa-594	74	10	matrix	matrix	NOUN
ijassa-594	74	11	corresponded	correspond	VERB
ijassa-594	74	12	to	to	ADP
ijassa-594	74	13	the	the	DET
ijassa-594	74	14	number	number	NOUN
ijassa-594	74	15	of	of	ADP
ijassa-594	74	16	non	non	ADJ
ijassa-594	74	17	-	-	ADJ
ijassa-594	74	18	empty	empty	ADJ
ijassa-594	74	19	grid	grid	NOUN
ijassa-594	74	20	cells	cell	NOUN
ijassa-594	74	21	,	,	PUNCT
ijassa-594	74	22	the	the	DET
ijassa-594	74	23	adjacent	adjacent	ADJ
ijassa-594	74	24	grid	grid	NOUN
ijassa-594	74	25	cells	cell	NOUN
ijassa-594	74	26	(	(	PUNCT
ijassa-594	74	27	not	not	PART
ijassa-594	74	28	diagonally	diagonally	ADV
ijassa-594	74	29	)	)	PUNCT
ijassa-594	74	30	were	be	AUX
ijassa-594	74	31	considered	consider	VERB
ijassa-594	74	32	to	to	PART
ijassa-594	74	33	be	be	AUX
ijassa-594	74	34	related	relate	VERB
ijassa-594	74	35	.	.	PUNCT
ijassa-594	75	1	as	as	ADP
ijassa-594	75	2	the	the	DET
ijassa-594	75	3	weight	weight	NOUN
ijassa-594	75	4	of	of	ADP
ijassa-594	75	5	the	the	DET
ijassa-594	75	6	cell	cell	NOUN
ijassa-594	75	7	,	,	PUNCT
ijassa-594	75	8	the	the	DET
ijassa-594	75	9	number	number	NOUN
ijassa-594	75	10	of	of	ADP
ijassa-594	75	11	agents	agent	NOUN
ijassa-594	75	12	that	that	PRON
ijassa-594	75	13	should	should	AUX
ijassa-594	75	14	be	be	AUX
ijassa-594	75	15	created	create	VERB
ijassa-594	75	16	in	in	ADP
ijassa-594	75	17	the	the	DET
ijassa-594	75	18	corresponding	corresponding	ADJ
ijassa-594	75	19	cell	cell	NOUN
ijassa-594	75	20	was	be	AUX
ijassa-594	75	21	used	use	VERB
ijassa-594	75	22	.	.	PUNCT
ijassa-594	76	1	the	the	DET
ijassa-594	76	2	calculation	calculation	NOUN
ijassa-594	76	3	of	of	ADP
ijassa-594	76	4	the	the	DET
ijassa-594	76	5	most	most	ADV
ijassa-594	76	6	optimal	optimal	ADJ
ijassa-594	76	7	decomposition	decomposition	NOUN
ijassa-594	76	8	of	of	ADP
ijassa-594	76	9	such	such	ADJ
ijassa-594	76	10	matrix	matrix	NOUN
ijassa-594	76	11	is	be	AUX
ijassa-594	76	12	very	very	ADV
ijassa-594	76	13	computationally	computationally	ADV
ijassa-594	76	14	expensive	expensive	ADJ
ijassa-594	76	15	.	.	PUNCT
ijassa-594	77	1	the	the	DET
ijassa-594	77	2	metis	metis	PROPN
ijassa-594	77	3	library	library	NOUN
ijassa-594	77	4	implements	implement	VERB
ijassa-594	77	5	a	a	DET
ijassa-594	77	6	multilevel	multilevel	ADJ
ijassa-594	77	7	recursive	recursive	ADJ
ijassa-594	77	8	coarsegrained	coarsegraine	VERB
ijassa-594	77	9	algorithm	algorithm	NOUN
ijassa-594	77	10	for	for	ADP
ijassa-594	77	11	calculation	calculation	NOUN
ijassa-594	77	12	of	of	ADP
ijassa-594	77	13	the	the	DET
ijassa-594	77	14	reasonably	reasonably	ADV
ijassa-594	77	15	good	good	ADJ
ijassa-594	77	16	decomposition	decomposition	NOUN
ijassa-594	77	17	.	.	PUNCT
ijassa-594	78	1	on	on	ADP
ijassa-594	78	2	each	each	DET
ijassa-594	78	3	level	level	NOUN
ijassa-594	78	4	the	the	DET
ijassa-594	78	5	original	original	ADJ
ijassa-594	78	6	graph	graph	NOUN
ijassa-594	78	7	is	be	AUX
ijassa-594	78	8	transformed	transform	VERB
ijassa-594	78	9	to	to	ADP
ijassa-594	78	10	a	a	DET
ijassa-594	78	11	smaller	small	ADJ
ijassa-594	78	12	graph	graph	NOUN
ijassa-594	78	13	using	use	VERB
ijassa-594	78	14	the	the	DET
ijassa-594	78	15	coarse	coarse	ADV
ijassa-594	78	16	-	-	PUNCT
ijassa-594	78	17	graining	graining	NOUN
ijassa-594	78	18	algorithm	algorithm	NOUN
ijassa-594	78	19	,	,	PUNCT
ijassa-594	78	20	the	the	DET
ijassa-594	78	21	decomposition	decomposition	NOUN
ijassa-594	78	22	of	of	ADP
ijassa-594	78	23	the	the	DET
ijassa-594	78	24	smaller	small	ADJ
ijassa-594	78	25	graph	graph	NOUN
ijassa-594	78	26	is	be	AUX
ijassa-594	78	27	performed	perform	VERB
ijassa-594	78	28	and	and	CCONJ
ijassa-594	78	29	then	then	ADV
ijassa-594	78	30	a	a	DET
ijassa-594	78	31	special	special	ADJ
ijassa-594	78	32	refinement	refinement	NOUN
ijassa-594	78	33	of	of	ADP
ijassa-594	78	34	the	the	DET
ijassa-594	78	35	decomposition	decomposition	NOUN
ijassa-594	78	36	is	be	AUX
ijassa-594	78	37	performed	perform	VERB
ijassa-594	78	38	.	.	PUNCT
ijassa-594	79	1	as	as	ADP
ijassa-594	79	2	a	a	DET
ijassa-594	79	3	result	result	NOUN
ijassa-594	79	4	of	of	ADP
ijassa-594	79	5	calling	call	VERB
ijassa-594	79	6	the	the	DET
ijassa-594	79	7	metis	metis	NOUN
ijassa-594	79	8	algorithm	algorithm	NOUN
ijassa-594	79	9	for	for	ADP
ijassa-594	79	10	a	a	DET
ijassa-594	79	11	given	give	VERB
ijassa-594	79	12	coupling	coupling	NOUN
ijassa-594	79	13	matrix	matrix	NOUN
ijassa-594	79	14	and	and	CCONJ
ijassa-594	79	15	weights	weight	NOUN
ijassa-594	79	16	and	and	CCONJ
ijassa-594	79	17	a	a	DET
ijassa-594	79	18	given	give	VERB
ijassa-594	79	19	number	number	NOUN
ijassa-594	79	20	of	of	ADP
ijassa-594	79	21	processors	processor	NOUN
ijassa-594	79	22	,	,	PUNCT
ijassa-594	79	23	an	an	DET
ijassa-594	79	24	array	array	NOUN
ijassa-594	79	25	of	of	ADP
ijassa-594	79	26	numbers	number	NOUN
ijassa-594	79	27	is	be	AUX
ijassa-594	79	28	created	create	VERB
ijassa-594	79	29	that	that	PRON
ijassa-594	79	30	describes	describe	VERB
ijassa-594	79	31	the	the	DET
ijassa-594	79	32	optimal	optimal	ADJ
ijassa-594	79	33	binding	binding	NOUN
ijassa-594	79	34	of	of	ADP
ijassa-594	79	35	the	the	DET
ijassa-594	79	36	grid	grid	NOUN
ijassa-594	79	37	cells	cell	NOUN
ijassa-594	79	38	to	to	ADP
ijassa-594	79	39	the	the	DET
ijassa-594	79	40	processors	processor	NOUN
ijassa-594	79	41	.	.	PUNCT
ijassa-594	80	1	these	these	DET
ijassa-594	80	2	data	datum	NOUN
ijassa-594	80	3	are	be	AUX
ijassa-594	80	4	used	use	VERB
ijassa-594	80	5	to	to	PART
ijassa-594	80	6	distribute	distribute	VERB
ijassa-594	80	7	cells	cell	NOUN
ijassa-594	80	8	and	and	CCONJ
ijassa-594	80	9	agents	agent	NOUN
ijassa-594	80	10	144	144	NUM
ijassa-594	80	11	v.l	v.l	PROPN
ijassa-594	80	12	.	.	PROPN
ijassa-594	80	13	makarov	makarov	PROPN
ijassa-594	80	14	,	,	PUNCT
ijassa-594	80	15	a.r	a.r	PROPN
ijassa-594	80	16	.	.	PROPN
ijassa-594	80	17	bakhtizin	bakhtizin	PROPN
ijassa-594	80	18	,	,	PUNCT
ijassa-594	80	19	e.d	e.d	PROPN
ijassa-594	80	20	.	.	PROPN
ijassa-594	80	21	sushko	sushko	PROPN
ijassa-594	80	22	,	,	PUNCT
ijassa-594	81	1	g.b	g.b	PROPN
ijassa-594	81	2	.	.	PROPN
ijassa-594	81	3	sushko	sushko	PROPN
ijassa-594	81	4	copyright	copyright	NOUN
ijassa-594	81	5	©	©	PROPN
ijassa-594	81	6	2019	2019	NUM
ijassa-594	81	7	assa	assa	NOUN
ijassa-594	81	8	.	.	PUNCT
ijassa-594	82	1	adv	adv	PROPN
ijassa-594	82	2	.	.	PUNCT
ijassa-594	83	1	in	in	ADP
ijassa-594	83	2	systems	system	NOUN
ijassa-594	83	3	science	science	NOUN
ijassa-594	83	4	and	and	CCONJ
ijassa-594	83	5	appl	appl	NOUN
ijassa-594	83	6	.	.	PUNCT
ijassa-594	84	1	(	(	PUNCT
ijassa-594	84	2	2019	2019	NUM
ijassa-594	84	3	)	)	PUNCT
ijassa-594	84	4	by	by	ADP
ijassa-594	84	5	processors	processor	NOUN
ijassa-594	84	6	during	during	ADP
ijassa-594	84	7	the	the	DET
ijassa-594	84	8	calculation	calculation	NOUN
ijassa-594	84	9	,	,	PUNCT
ijassa-594	84	10	but	but	CCONJ
ijassa-594	84	11	do	do	AUX
ijassa-594	84	12	not	not	PART
ijassa-594	84	13	affect	affect	VERB
ijassa-594	84	14	the	the	DET
ijassa-594	84	15	aggregation	aggregation	NOUN
ijassa-594	84	16	procedure	procedure	NOUN
ijassa-594	84	17	of	of	ADP
ijassa-594	84	18	the	the	DET
ijassa-594	84	19	received	receive	VERB
ijassa-594	84	20	calculation	calculation	NOUN
ijassa-594	84	21	results	result	NOUN
ijassa-594	84	22	.	.	PUNCT
ijassa-594	85	1	the	the	DET
ijassa-594	85	2	results	result	NOUN
ijassa-594	85	3	of	of	ADP
ijassa-594	85	4	the	the	DET
ijassa-594	85	5	calculation	calculation	NOUN
ijassa-594	85	6	are	be	AUX
ijassa-594	85	7	aggregated	aggregate	VERB
ijassa-594	85	8	by	by	ADP
ijassa-594	85	9	region	region	NOUN
ijassa-594	85	10	and	and	CCONJ
ijassa-594	85	11	should	should	AUX
ijassa-594	85	12	not	not	PART
ijassa-594	85	13	depend	depend	VERB
ijassa-594	85	14	on	on	ADP
ijassa-594	85	15	the	the	DET
ijassa-594	85	16	decomposition	decomposition	NOUN
ijassa-594	85	17	used	use	VERB
ijassa-594	85	18	.	.	PUNCT
ijassa-594	86	1	to	to	PART
ijassa-594	86	2	test	test	VERB
ijassa-594	86	3	the	the	DET
ijassa-594	86	4	decomposition	decomposition	NOUN
ijassa-594	86	5	algorithm	algorithm	NOUN
ijassa-594	86	6	a	a	DET
ijassa-594	86	7	sample	sample	NOUN
ijassa-594	86	8	system	system	NOUN
ijassa-594	86	9	was	be	AUX
ijassa-594	86	10	constructed	construct	VERB
ijassa-594	86	11	using	use	VERB
ijassa-594	86	12	the	the	DET
ijassa-594	86	13	data	datum	NOUN
ijassa-594	86	14	on	on	ADP
ijassa-594	86	15	the	the	DET
ijassa-594	86	16	population	population	NOUN
ijassa-594	86	17	of	of	ADP
ijassa-594	86	18	russia	russia	PROPN
ijassa-594	86	19	.	.	PUNCT
ijassa-594	87	1	russia	russia	PROPN
ijassa-594	87	2	can	can	AUX
ijassa-594	87	3	be	be	AUX
ijassa-594	87	4	a	a	DET
ijassa-594	87	5	good	good	ADJ
ijassa-594	87	6	example	example	NOUN
ijassa-594	87	7	of	of	ADP
ijassa-594	87	8	a	a	DET
ijassa-594	87	9	country	country	NOUN
ijassa-594	87	10	with	with	ADP
ijassa-594	87	11	very	very	ADV
ijassa-594	87	12	different	different	ADJ
ijassa-594	87	13	regions	region	NOUN
ijassa-594	87	14	in	in	ADP
ijassa-594	87	15	terms	term	NOUN
ijassa-594	87	16	of	of	ADP
ijassa-594	87	17	population	population	NOUN
ijassa-594	87	18	.	.	PUNCT
ijassa-594	88	1	the	the	DET
ijassa-594	88	2	total	total	ADJ
ijassa-594	88	3	population	population	NOUN
ijassa-594	88	4	of	of	ADP
ijassa-594	88	5	russia	russia	PROPN
ijassa-594	88	6	is	be	AUX
ijassa-594	88	7	144	144	NUM
ijassa-594	88	8	million	million	NUM
ijassa-594	88	9	people	people	NOUN
ijassa-594	88	10	and	and	CCONJ
ijassa-594	88	11	the	the	DET
ijassa-594	88	12	average	average	ADJ
ijassa-594	88	13	density	density	NOUN
ijassa-594	88	14	of	of	ADP
ijassa-594	88	15	population	population	NOUN
ijassa-594	88	16	is	be	AUX
ijassa-594	88	17	8.58	8.58	NUM
ijassa-594	88	18	person	person	NOUN
ijassa-594	88	19	per	per	ADP
ijassa-594	88	20	square	square	ADJ
ijassa-594	88	21	kilometer	kilometer	NOUN
ijassa-594	88	22	ranging	range	VERB
ijassa-594	88	23	from	from	ADP
ijassa-594	88	24	4626	4626	NUM
ijassa-594	88	25	people	people	NOUN
ijassa-594	88	26	/	/	SYM
ijassa-594	89	1	km2	km2	PROPN
ijassa-594	89	2	in	in	ADP
ijassa-594	89	3	moscow	moscow	PROPN
ijassa-594	89	4	to	to	ADP
ijassa-594	89	5	0.07	0.07	NUM
ijassa-594	89	6	people	people	NOUN
ijassa-594	89	7	/	/	SYM
ijassa-594	89	8	km2	km2	X
ijassa-594	89	9	in	in	ADP
ijassa-594	89	10	chukotka	chukotka	PROPN
ijassa-594	89	11	region	region	NOUN
ijassa-594	89	12	.	.	PUNCT
ijassa-594	90	1	large	large	ADJ
ijassa-594	90	2	cities	city	NOUN
ijassa-594	90	3	such	such	ADJ
ijassa-594	90	4	as	as	ADP
ijassa-594	90	5	moscow	moscow	PROPN
ijassa-594	90	6	and	and	CCONJ
ijassa-594	90	7	st	st	PROPN
ijassa-594	90	8	.	.	PROPN
ijassa-594	90	9	petersburg	petersburg	PROPN
ijassa-594	90	10	were	be	AUX
ijassa-594	90	11	considered	consider	VERB
ijassa-594	90	12	as	as	ADP
ijassa-594	90	13	separate	separate	ADJ
ijassa-594	90	14	regions	region	NOUN
ijassa-594	90	15	in	in	ADP
ijassa-594	90	16	order	order	NOUN
ijassa-594	90	17	to	to	PART
ijassa-594	90	18	distinguish	distinguish	VERB
ijassa-594	90	19	the	the	DET
ijassa-594	90	20	parameters	parameter	NOUN
ijassa-594	90	21	of	of	ADP
ijassa-594	90	22	the	the	DET
ijassa-594	90	23	region	region	NOUN
ijassa-594	90	24	and	and	CCONJ
ijassa-594	90	25	parameters	parameter	NOUN
ijassa-594	90	26	of	of	ADP
ijassa-594	90	27	the	the	DET
ijassa-594	90	28	enclosing	enclosing	NOUN
ijassa-594	90	29	region	region	NOUN
ijassa-594	90	30	because	because	SCONJ
ijassa-594	90	31	of	of	ADP
ijassa-594	90	32	the	the	DET
ijassa-594	90	33	principal	principal	ADJ
ijassa-594	90	34	difference	difference	NOUN
ijassa-594	90	35	in	in	ADP
ijassa-594	90	36	population	population	NOUN
ijassa-594	90	37	density	density	NOUN
ijassa-594	90	38	,	,	PUNCT
ijassa-594	90	39	income	income	NOUN
ijassa-594	90	40	and	and	CCONJ
ijassa-594	90	41	other	other	ADJ
ijassa-594	90	42	parameters	parameter	NOUN
ijassa-594	90	43	.	.	PUNCT
ijassa-594	91	1	the	the	DET
ijassa-594	91	2	figures	figure	NOUN
ijassa-594	91	3	below	below	ADP
ijassa-594	91	4	show	show	VERB
ijassa-594	91	5	the	the	DET
ijassa-594	91	6	results	result	NOUN
ijassa-594	91	7	of	of	ADP
ijassa-594	91	8	automatic	automatic	ADJ
ijassa-594	91	9	grid	grid	NOUN
ijassa-594	91	10	decomposition	decomposition	NOUN
ijassa-594	91	11	using	use	VERB
ijassa-594	91	12	the	the	DET
ijassa-594	91	13	metis	metis	NOUN
ijassa-594	91	14	algorithm	algorithm	NOUN
ijassa-594	91	15	for	for	ADP
ijassa-594	91	16	8	8	NUM
ijassa-594	91	17	processors	processor	NOUN
ijassa-594	91	18	in	in	ADP
ijassa-594	91	19	two	two	NUM
ijassa-594	91	20	variants	variant	NOUN
ijassa-594	91	21	:	:	PUNCT
ijassa-594	91	22	without	without	ADP
ijassa-594	91	23	taking	take	VERB
ijassa-594	91	24	into	into	ADP
ijassa-594	91	25	account	account	NOUN
ijassa-594	91	26	the	the	DET
ijassa-594	91	27	number	number	NOUN
ijassa-594	91	28	of	of	ADP
ijassa-594	91	29	agents	agent	NOUN
ijassa-594	91	30	in	in	ADP
ijassa-594	91	31	cells	cell	NOUN
ijassa-594	91	32	(	(	PUNCT
ijassa-594	91	33	the	the	DET
ijassa-594	91	34	weight	weight	NOUN
ijassa-594	91	35	of	of	ADP
ijassa-594	91	36	each	each	DET
ijassa-594	91	37	cell	cell	NOUN
ijassa-594	91	38	=	=	NOUN
ijassa-594	91	39	1	1	X
ijassa-594	91	40	)	)	PUNCT
ijassa-594	91	41	and	and	CCONJ
ijassa-594	91	42	taking	take	VERB
ijassa-594	91	43	into	into	ADP
ijassa-594	91	44	account	account	NOUN
ijassa-594	91	45	the	the	DET
ijassa-594	91	46	number	number	NOUN
ijassa-594	91	47	of	of	ADP
ijassa-594	91	48	agents	agent	NOUN
ijassa-594	91	49	(	(	PUNCT
ijassa-594	91	50	cell	cell	NOUN
ijassa-594	91	51	weight	weight	NOUN
ijassa-594	91	52	equals	equal	VERB
ijassa-594	91	53	to	to	ADP
ijassa-594	91	54	number	number	NOUN
ijassa-594	91	55	of	of	ADP
ijassa-594	91	56	agents	agent	NOUN
ijassa-594	91	57	)	)	PUNCT
ijassa-594	91	58	.	.	PUNCT
ijassa-594	92	1	the	the	DET
ijassa-594	92	2	implementation	implementation	NOUN
ijassa-594	92	3	of	of	ADP
ijassa-594	92	4	the	the	DET
ijassa-594	92	5	scalable	scalable	ADJ
ijassa-594	92	6	modelling	modelling	NOUN
ijassa-594	92	7	framework	framework	NOUN
ijassa-594	92	8	145	145	NUM
ijassa-594	92	9	copyright	copyright	NOUN
ijassa-594	92	10	©	©	PROPN
ijassa-594	92	11	2019	2019	NUM
ijassa-594	92	12	assa	assa	NOUN
ijassa-594	92	13	.	.	PUNCT
ijassa-594	93	1	adv	adv	PROPN
ijassa-594	93	2	.	.	PUNCT
ijassa-594	94	1	in	in	ADP
ijassa-594	94	2	systems	system	NOUN
ijassa-594	94	3	science	science	NOUN
ijassa-594	94	4	and	and	CCONJ
ijassa-594	94	5	appl	appl	NOUN
ijassa-594	94	6	.	.	PUNCT
ijassa-594	95	1	(	(	PUNCT
ijassa-594	95	2	2019	2019	NUM
ijassa-594	95	3	)	)	PUNCT
ijassa-594	95	4	fig	fig	NOUN
ijassa-594	95	5	.	.	PUNCT
ijassa-594	96	1	1	1	X
ijassa-594	96	2	.	.	PUNCT
ijassa-594	96	3	the	the	DET
ijassa-594	96	4	decomposition	decomposition	NOUN
ijassa-594	96	5	of	of	ADP
ijassa-594	96	6	a	a	DET
ijassa-594	96	7	territory	territory	NOUN
ijassa-594	96	8	of	of	ADP
ijassa-594	96	9	russia	russia	PROPN
ijassa-594	96	10	by	by	ADP
ijassa-594	96	11	8	8	NUM
ijassa-594	96	12	processors	processor	NOUN
ijassa-594	96	13	taking	take	VERB
ijassa-594	96	14	into	into	ADP
ijassa-594	96	15	account	account	NOUN
ijassa-594	96	16	only	only	ADV
ijassa-594	96	17	the	the	DET
ijassa-594	96	18	number	number	NOUN
ijassa-594	96	19	of	of	ADP
ijassa-594	96	20	cells	cell	NOUN
ijassa-594	96	21	(	(	PUNCT
ijassa-594	96	22	top	top	NOUN
ijassa-594	96	23	)	)	PUNCT
ijassa-594	96	24	and	and	CCONJ
ijassa-594	96	25	the	the	DET
ijassa-594	96	26	number	number	NOUN
ijassa-594	96	27	of	of	ADP
ijassa-594	96	28	agents	agent	NOUN
ijassa-594	96	29	in	in	ADP
ijassa-594	96	30	cells	cell	NOUN
ijassa-594	96	31	(	(	PUNCT
ijassa-594	96	32	bottom	bottom	ADJ
ijassa-594	96	33	)	)	PUNCT
ijassa-594	96	34	.	.	PUNCT
ijassa-594	97	1	one	one	PRON
ijassa-594	97	2	can	can	AUX
ijassa-594	97	3	notice	notice	VERB
ijassa-594	97	4	much	much	ADV
ijassa-594	97	5	smaller	small	ADJ
ijassa-594	97	6	regions	region	NOUN
ijassa-594	97	7	in	in	ADP
ijassa-594	97	8	the	the	DET
ijassa-594	97	9	western	western	ADJ
ijassa-594	97	10	part	part	NOUN
ijassa-594	97	11	of	of	ADP
ijassa-594	97	12	russia	russia	PROPN
ijassa-594	97	13	on	on	ADP
ijassa-594	97	14	a	a	DET
ijassa-594	97	15	second	second	ADJ
ijassa-594	97	16	plot	plot	NOUN
ijassa-594	97	17	due	due	ADP
ijassa-594	97	18	to	to	ADP
ijassa-594	97	19	much	much	ADV
ijassa-594	97	20	higher	high	ADJ
ijassa-594	97	21	population	population	NOUN
ijassa-594	97	22	density	density	NOUN
ijassa-594	97	23	.	.	PUNCT
ijassa-594	98	1	different	different	ADJ
ijassa-594	98	2	shades	shade	NOUN
ijassa-594	98	3	of	of	ADP
ijassa-594	98	4	red	red	ADJ
ijassa-594	98	5	show	show	NOUN
ijassa-594	98	6	areas	area	NOUN
ijassa-594	98	7	assigned	assign	VERB
ijassa-594	98	8	to	to	ADP
ijassa-594	98	9	different	different	ADJ
ijassa-594	98	10	processors	processor	NOUN
ijassa-594	98	11	.	.	PUNCT
ijassa-594	99	1	in	in	ADP
ijassa-594	99	2	the	the	DET
ijassa-594	99	3	first	first	ADJ
ijassa-594	99	4	case	case	NOUN
ijassa-594	99	5	,	,	PUNCT
ijassa-594	99	6	the	the	DET
ijassa-594	99	7	algorithm	algorithm	NOUN
ijassa-594	99	8	equalizes	equalize	VERB
ijassa-594	99	9	the	the	DET
ijassa-594	99	10	number	number	NOUN
ijassa-594	99	11	of	of	ADP
ijassa-594	99	12	grid	grid	NOUN
ijassa-594	99	13	cells	cell	NOUN
ijassa-594	99	14	on	on	ADP
ijassa-594	99	15	different	different	ADJ
ijassa-594	99	16	processors	processor	NOUN
ijassa-594	99	17	with	with	ADP
ijassa-594	99	18	the	the	DET
ijassa-594	99	19	minimum	minimum	ADJ
ijassa-594	99	20	length	length	NOUN
ijassa-594	99	21	of	of	ADP
ijassa-594	99	22	the	the	DET
ijassa-594	99	23	boundary	boundary	NOUN
ijassa-594	99	24	between	between	ADP
ijassa-594	99	25	them	they	PRON
ijassa-594	99	26	.	.	PUNCT
ijassa-594	100	1	in	in	ADP
ijassa-594	100	2	the	the	DET
ijassa-594	100	3	second	second	ADJ
ijassa-594	100	4	case	case	NOUN
ijassa-594	100	5	,	,	PUNCT
ijassa-594	100	6	the	the	DET
ijassa-594	100	7	number	number	NOUN
ijassa-594	100	8	of	of	ADP
ijassa-594	100	9	agents	agent	NOUN
ijassa-594	100	10	attributed	attribute	VERB
ijassa-594	100	11	to	to	ADP
ijassa-594	100	12	the	the	DET
ijassa-594	100	13	cells	cell	NOUN
ijassa-594	100	14	of	of	ADP
ijassa-594	100	15	a	a	DET
ijassa-594	100	16	specific	specific	ADJ
ijassa-594	100	17	processor	processor	NOUN
ijassa-594	100	18	is	be	AUX
ijassa-594	100	19	equalized	equalize	VERB
ijassa-594	100	20	,	,	PUNCT
ijassa-594	100	21	while	while	SCONJ
ijassa-594	100	22	minimizing	minimize	VERB
ijassa-594	100	23	the	the	DET
ijassa-594	100	24	length	length	NOUN
ijassa-594	100	25	of	of	ADP
ijassa-594	100	26	the	the	DET
ijassa-594	100	27	border	border	NOUN
ijassa-594	100	28	.	.	PUNCT
ijassa-594	101	1	one	one	PRON
ijassa-594	101	2	can	can	AUX
ijassa-594	101	3	see	see	VERB
ijassa-594	101	4	that	that	SCONJ
ijassa-594	101	5	in	in	ADP
ijassa-594	101	6	the	the	DET
ijassa-594	101	7	second	second	ADJ
ijassa-594	101	8	case	case	NOUN
ijassa-594	101	9	the	the	DET
ijassa-594	101	10	regions	region	NOUN
ijassa-594	101	11	have	have	VERB
ijassa-594	101	12	different	different	ADJ
ijassa-594	101	13	area	area	NOUN
ijassa-594	101	14	because	because	SCONJ
ijassa-594	101	15	of	of	ADP
ijassa-594	101	16	the	the	DET
ijassa-594	101	17	difference	difference	NOUN
ijassa-594	101	18	in	in	ADP
ijassa-594	101	19	population	population	NOUN
ijassa-594	101	20	density	density	NOUN
ijassa-594	101	21	.	.	PUNCT
ijassa-594	102	1	the	the	DET
ijassa-594	102	2	difference	difference	NOUN
ijassa-594	102	3	in	in	ADP
ijassa-594	102	4	density	density	NOUN
ijassa-594	102	5	between	between	ADP
ijassa-594	102	6	european	european	ADJ
ijassa-594	102	7	part	part	NOUN
ijassa-594	102	8	of	of	ADP
ijassa-594	102	9	the	the	DET
ijassa-594	102	10	country	country	NOUN
ijassa-594	102	11	(	(	PUNCT
ijassa-594	102	12	27	27	NUM
ijassa-594	102	13	people	people	NOUN
ijassa-594	102	14	per	per	ADP
ijassa-594	102	15	km2	km2	PROPN
ijassa-594	102	16	)	)	PUNCT
ijassa-594	102	17	and	and	CCONJ
ijassa-594	102	18	asian	asian	ADJ
ijassa-594	102	19	part	part	NOUN
ijassa-594	102	20	(	(	PUNCT
ijassa-594	102	21	3	3	NUM
ijassa-594	102	22	people	people	NOUN
ijassa-594	102	23	per	per	ADP
ijassa-594	102	24	km2	km2	NOUN
ijassa-594	102	25	)	)	PUNCT
ijassa-594	102	26	leads	lead	VERB
ijassa-594	102	27	to	to	ADP
ijassa-594	102	28	much	much	ADV
ijassa-594	102	29	smaller	small	ADJ
ijassa-594	102	30	regions	region	NOUN
ijassa-594	102	31	in	in	ADP
ijassa-594	102	32	european	european	ADJ
ijassa-594	102	33	part	part	NOUN
ijassa-594	102	34	in	in	ADP
ijassa-594	102	35	terms	term	NOUN
ijassa-594	102	36	of	of	ADP
ijassa-594	102	37	area	area	NOUN
ijassa-594	102	38	and	and	CCONJ
ijassa-594	102	39	cell	cell	NOUN
ijassa-594	102	40	count	count	NOUN
ijassa-594	102	41	.	.	PUNCT
ijassa-594	103	1	another	another	DET
ijassa-594	103	2	effect	effect	NOUN
ijassa-594	103	3	associated	associate	VERB
ijassa-594	103	4	with	with	ADP
ijassa-594	103	5	the	the	DET
ijassa-594	103	6	formulation	formulation	NOUN
ijassa-594	103	7	of	of	ADP
ijassa-594	103	8	criteria	criterion	NOUN
ijassa-594	103	9	for	for	ADP
ijassa-594	103	10	optimizing	optimize	VERB
ijassa-594	103	11	distribution	distribution	NOUN
ijassa-594	103	12	is	be	AUX
ijassa-594	103	13	that	that	SCONJ
ijassa-594	103	14	the	the	DET
ijassa-594	103	15	cells	cell	NOUN
ijassa-594	103	16	located	locate	VERB
ijassa-594	103	17	on	on	ADP
ijassa-594	103	18	islands	island	NOUN
ijassa-594	103	19	and	and	CCONJ
ijassa-594	103	20	exclaves	exclave	NOUN
ijassa-594	103	21	are	be	AUX
ijassa-594	103	22	isolated	isolate	VERB
ijassa-594	103	23	and	and	CCONJ
ijassa-594	103	24	not	not	PART
ijassa-594	103	25	directly	directly	ADV
ijassa-594	103	26	connected	connect	VERB
ijassa-594	103	27	to	to	ADP
ijassa-594	103	28	the	the	DET
ijassa-594	103	29	nearest	near	ADJ
ijassa-594	103	30	regions	region	NOUN
ijassa-594	103	31	and	and	CCONJ
ijassa-594	103	32	in	in	ADP
ijassa-594	103	33	terms	term	NOUN
ijassa-594	103	34	of	of	ADP
ijassa-594	103	35	decomposition	decomposition	NOUN
ijassa-594	103	36	can	can	AUX
ijassa-594	103	37	be	be	AUX
ijassa-594	103	38	linked	link	VERB
ijassa-594	103	39	to	to	ADP
ijassa-594	103	40	any	any	DET
ijassa-594	103	41	processor	processor	NOUN
ijassa-594	103	42	.	.	PUNCT
ijassa-594	104	1	146	146	NUM
ijassa-594	104	2	v.l	v.l	PROPN
ijassa-594	104	3	.	.	PROPN
ijassa-594	104	4	makarov	makarov	PROPN
ijassa-594	104	5	,	,	PUNCT
ijassa-594	104	6	a.r	a.r	PROPN
ijassa-594	104	7	.	.	PROPN
ijassa-594	104	8	bakhtizin	bakhtizin	PROPN
ijassa-594	104	9	,	,	PUNCT
ijassa-594	104	10	e.d	e.d	PROPN
ijassa-594	104	11	.	.	PROPN
ijassa-594	104	12	sushko	sushko	PROPN
ijassa-594	104	13	,	,	PUNCT
ijassa-594	104	14	g.b	g.b	PROPN
ijassa-594	104	15	.	.	PROPN
ijassa-594	104	16	sushko	sushko	PROPN
ijassa-594	104	17	copyright	copyright	NOUN
ijassa-594	104	18	©	©	PROPN
ijassa-594	104	19	2019	2019	NUM
ijassa-594	104	20	assa	assa	NOUN
ijassa-594	104	21	.	.	PUNCT
ijassa-594	105	1	adv	adv	PROPN
ijassa-594	105	2	.	.	PUNCT
ijassa-594	106	1	in	in	ADP
ijassa-594	106	2	systems	system	NOUN
ijassa-594	106	3	science	science	NOUN
ijassa-594	106	4	and	and	CCONJ
ijassa-594	106	5	appl	appl	NOUN
ijassa-594	106	6	.	.	PUNCT
ijassa-594	107	1	(	(	PUNCT
ijassa-594	107	2	2019	2019	NUM
ijassa-594	107	3	)	)	PUNCT
ijassa-594	107	4	the	the	DET
ijassa-594	107	5	use	use	NOUN
ijassa-594	107	6	of	of	ADP
ijassa-594	107	7	the	the	DET
ijassa-594	107	8	sparse	sparse	ADJ
ijassa-594	107	9	matrix	matrix	NOUN
ijassa-594	107	10	of	of	ADP
ijassa-594	107	11	links	link	NOUN
ijassa-594	107	12	between	between	ADP
ijassa-594	107	13	cells	cell	NOUN
ijassa-594	107	14	allows	allow	VERB
ijassa-594	107	15	the	the	DET
ijassa-594	107	16	further	further	ADJ
ijassa-594	107	17	development	development	NOUN
ijassa-594	107	18	of	of	ADP
ijassa-594	107	19	decomposition	decomposition	NOUN
ijassa-594	107	20	criteria	criterion	NOUN
ijassa-594	107	21	which	which	PRON
ijassa-594	107	22	should	should	AUX
ijassa-594	107	23	in	in	ADP
ijassa-594	107	24	principle	principle	NOUN
ijassa-594	107	25	include	include	VERB
ijassa-594	107	26	the	the	DET
ijassa-594	107	27	connectivity	connectivity	NOUN
ijassa-594	107	28	of	of	ADP
ijassa-594	107	29	cells	cell	NOUN
ijassa-594	107	30	which	which	PRON
ijassa-594	107	31	have	have	VERB
ijassa-594	107	32	no	no	DET
ijassa-594	107	33	common	common	ADJ
ijassa-594	107	34	border	border	NOUN
ijassa-594	107	35	.	.	PUNCT
ijassa-594	108	1	these	these	DET
ijassa-594	108	2	connections	connection	NOUN
ijassa-594	108	3	may	may	AUX
ijassa-594	108	4	arise	arise	VERB
ijassa-594	108	5	due	due	ADP
ijassa-594	108	6	to	to	ADP
ijassa-594	108	7	air	air	NOUN
ijassa-594	108	8	communication	communication	NOUN
ijassa-594	108	9	,	,	PUNCT
ijassa-594	108	10	railways	railway	NOUN
ijassa-594	108	11	and	and	CCONJ
ijassa-594	108	12	other	other	ADJ
ijassa-594	108	13	ways	way	NOUN
ijassa-594	108	14	of	of	ADP
ijassa-594	108	15	traveling	traveling	NOUN
ijassa-594	108	16	which	which	PRON
ijassa-594	108	17	have	have	VERB
ijassa-594	108	18	to	to	PART
ijassa-594	108	19	be	be	AUX
ijassa-594	108	20	taken	take	VERB
ijassa-594	108	21	into	into	ADP
ijassa-594	108	22	account	account	NOUN
ijassa-594	108	23	for	for	ADP
ijassa-594	108	24	correct	correct	ADJ
ijassa-594	108	25	simulation	simulation	NOUN
ijassa-594	108	26	of	of	ADP
ijassa-594	108	27	migration	migration	NOUN
ijassa-594	108	28	.	.	PUNCT
ijassa-594	109	1	in	in	ADP
ijassa-594	109	2	the	the	DET
ijassa-594	109	3	test	test	NOUN
ijassa-594	109	4	example	example	NOUN
ijassa-594	109	5	presented	present	VERB
ijassa-594	109	6	above	above	ADV
ijassa-594	109	7	,	,	PUNCT
ijassa-594	109	8	the	the	DET
ijassa-594	109	9	total	total	ADJ
ijassa-594	109	10	number	number	NOUN
ijassa-594	109	11	of	of	ADP
ijassa-594	109	12	agents	agent	NOUN
ijassa-594	109	13	was	be	AUX
ijassa-594	109	14	set	set	VERB
ijassa-594	109	15	at	at	ADP
ijassa-594	109	16	8400000	8400000	NUM
ijassa-594	109	17	.	.	PUNCT
ijassa-594	110	1	at	at	ADP
ijassa-594	110	2	the	the	DET
ijassa-594	110	3	same	same	ADJ
ijassa-594	110	4	time	time	NOUN
ijassa-594	110	5	,	,	PUNCT
ijassa-594	110	6	the	the	DET
ijassa-594	110	7	share	share	NOUN
ijassa-594	110	8	of	of	ADP
ijassa-594	110	9	agents	agent	NOUN
ijassa-594	110	10	in	in	ADP
ijassa-594	110	11	each	each	DET
ijassa-594	110	12	region	region	NOUN
ijassa-594	110	13	was	be	AUX
ijassa-594	110	14	determined	determine	VERB
ijassa-594	110	15	by	by	ADP
ijassa-594	110	16	the	the	DET
ijassa-594	110	17	share	share	NOUN
ijassa-594	110	18	of	of	ADP
ijassa-594	110	19	this	this	DET
ijassa-594	110	20	region	region	NOUN
ijassa-594	110	21	in	in	ADP
ijassa-594	110	22	the	the	DET
ijassa-594	110	23	population	population	NOUN
ijassa-594	110	24	of	of	ADP
ijassa-594	110	25	the	the	DET
ijassa-594	110	26	country	country	NOUN
ijassa-594	110	27	.	.	PUNCT
ijassa-594	111	1	within	within	ADP
ijassa-594	111	2	the	the	DET
ijassa-594	111	3	region	region	NOUN
ijassa-594	111	4	,	,	PUNCT
ijassa-594	111	5	agents	agent	NOUN
ijassa-594	111	6	were	be	AUX
ijassa-594	111	7	distributed	distribute	VERB
ijassa-594	111	8	uniformly	uniformly	ADV
ijassa-594	111	9	across	across	ADP
ijassa-594	111	10	cells	cell	NOUN
ijassa-594	111	11	.	.	PUNCT
ijassa-594	112	1	such	such	DET
ijassa-594	112	2	a	a	DET
ijassa-594	112	3	calculation	calculation	NOUN
ijassa-594	112	4	scheme	scheme	NOUN
ijassa-594	112	5	allows	allow	VERB
ijassa-594	112	6	us	we	PRON
ijassa-594	112	7	to	to	PART
ijassa-594	112	8	change	change	VERB
ijassa-594	112	9	the	the	DET
ijassa-594	112	10	total	total	ADJ
ijassa-594	112	11	number	number	NOUN
ijassa-594	112	12	of	of	ADP
ijassa-594	112	13	agents	agent	NOUN
ijassa-594	112	14	for	for	ADP
ijassa-594	112	15	test	test	NOUN
ijassa-594	112	16	purposes	purpose	NOUN
ijassa-594	112	17	,	,	PUNCT
ijassa-594	112	18	keeping	keep	VERB
ijassa-594	112	19	their	their	PRON
ijassa-594	112	20	correct	correct	ADJ
ijassa-594	112	21	geographical	geographical	ADJ
ijassa-594	112	22	distribution	distribution	NOUN
ijassa-594	112	23	.	.	PUNCT
ijassa-594	113	1	using	use	VERB
ijassa-594	113	2	the	the	DET
ijassa-594	113	3	algorithm	algorithm	NOUN
ijassa-594	113	4	described	describe	VERB
ijassa-594	113	5	above	above	ADV
ijassa-594	113	6	,	,	PUNCT
ijassa-594	113	7	the	the	DET
ijassa-594	113	8	distribution	distribution	NOUN
ijassa-594	113	9	of	of	ADP
ijassa-594	113	10	the	the	DET
ijassa-594	113	11	source	source	NOUN
ijassa-594	113	12	system	system	NOUN
ijassa-594	113	13	by	by	ADP
ijassa-594	113	14	the	the	DET
ijassa-594	113	15	processors	processor	NOUN
ijassa-594	113	16	was	be	AUX
ijassa-594	113	17	obtained	obtain	VERB
ijassa-594	113	18	.	.	PUNCT
ijassa-594	114	1	in	in	ADP
ijassa-594	114	2	the	the	DET
ijassa-594	114	3	implementation	implementation	NOUN
ijassa-594	114	4	,	,	PUNCT
ijassa-594	114	5	it	it	PRON
ijassa-594	114	6	is	be	AUX
ijassa-594	114	7	important	important	ADJ
ijassa-594	114	8	that	that	SCONJ
ijassa-594	114	9	such	such	DET
ijassa-594	114	10	a	a	DET
ijassa-594	114	11	distribution	distribution	NOUN
ijassa-594	114	12	must	must	AUX
ijassa-594	114	13	be	be	AUX
ijassa-594	114	14	done	do	VERB
ijassa-594	114	15	before	before	SCONJ
ijassa-594	114	16	the	the	DET
ijassa-594	114	17	agents	agent	NOUN
ijassa-594	114	18	are	be	AUX
ijassa-594	114	19	created	create	VERB
ijassa-594	114	20	,	,	PUNCT
ijassa-594	114	21	since	since	SCONJ
ijassa-594	114	22	the	the	DET
ijassa-594	114	23	agents	agent	NOUN
ijassa-594	114	24	created	create	VERB
ijassa-594	114	25	must	must	AUX
ijassa-594	114	26	by	by	ADP
ijassa-594	114	27	initially	initially	ADV
ijassa-594	114	28	correctly	correctly	ADV
ijassa-594	114	29	distributed	distribute	VERB
ijassa-594	114	30	among	among	ADP
ijassa-594	114	31	the	the	DET
ijassa-594	114	32	nodes	node	NOUN
ijassa-594	114	33	of	of	ADP
ijassa-594	114	34	the	the	DET
ijassa-594	114	35	cluster	cluster	NOUN
ijassa-594	114	36	to	to	PART
ijassa-594	114	37	meet	meet	VERB
ijassa-594	114	38	the	the	DET
ijassa-594	114	39	limitations	limitation	NOUN
ijassa-594	114	40	of	of	ADP
ijassa-594	114	41	the	the	DET
ijassa-594	114	42	system	system	NOUN
ijassa-594	114	43	memory	memory	NOUN
ijassa-594	114	44	.	.	PUNCT
ijassa-594	115	1	to	to	PART
ijassa-594	115	2	analyze	analyze	VERB
ijassa-594	115	3	the	the	DET
ijassa-594	115	4	obtained	obtain	VERB
ijassa-594	115	5	distribution	distribution	NOUN
ijassa-594	115	6	of	of	ADP
ijassa-594	115	7	agents	agent	NOUN
ijassa-594	115	8	by	by	ADP
ijassa-594	115	9	processors	processor	NOUN
ijassa-594	115	10	,	,	PUNCT
ijassa-594	115	11	one	one	PRON
ijassa-594	115	12	can	can	AUX
ijassa-594	115	13	use	use	VERB
ijassa-594	115	14	amdahl	amdahl	PROPN
ijassa-594	115	15	's	's	PART
ijassa-594	115	16	law	law	NOUN
ijassa-594	115	17	,	,	PUNCT
ijassa-594	115	18	which	which	PRON
ijassa-594	115	19	connects	connect	VERB
ijassa-594	115	20	the	the	DET
ijassa-594	115	21	maximum	maximum	ADJ
ijassa-594	115	22	achievable	achievable	ADJ
ijassa-594	115	23	acceleration	acceleration	NOUN
ijassa-594	115	24	in	in	ADP
ijassa-594	115	25	parallel	parallel	ADJ
ijassa-594	115	26	computations	computation	NOUN
ijassa-594	115	27	(	(	PUNCT
ijassa-594	115	28	sp	sp	NOUN
ijassa-594	115	29	)	)	PUNCT
ijassa-594	115	30	with	with	ADP
ijassa-594	115	31	the	the	DET
ijassa-594	115	32	number	number	NOUN
ijassa-594	115	33	of	of	ADP
ijassa-594	115	34	processors	processor	NOUN
ijassa-594	115	35	(	(	PUNCT
ijassa-594	115	36	p	p	NOUN
ijassa-594	115	37	)	)	PUNCT
ijassa-594	115	38	and	and	CCONJ
ijassa-594	115	39	the	the	DET
ijassa-594	115	40	fraction	fraction	NOUN
ijassa-594	115	41	of	of	ADP
ijassa-594	115	42	consecutive	consecutive	ADJ
ijassa-594	115	43	computations	computation	NOUN
ijassa-594	115	44	(	(	PUNCT
ijassa-594	115	45	a	a	NOUN
ijassa-594	115	46	)	)	PUNCT
ijassa-594	115	47	.	.	PUNCT
ijassa-594	116	1	fig	fig	NOUN
ijassa-594	116	2	.	.	PUNCT
ijassa-594	117	1	2	2	X
ijassa-594	117	2	.	.	X
ijassa-594	117	3	the	the	DET
ijassa-594	117	4	illustration	illustration	NOUN
ijassa-594	117	5	of	of	ADP
ijassa-594	117	6	amdahl	amdahl	PROPN
ijassa-594	117	7	’s	’s	PART
ijassa-594	117	8	law	law	NOUN
ijassa-594	117	9	for	for	ADP
ijassa-594	117	10	description	description	NOUN
ijassa-594	117	11	of	of	ADP
ijassa-594	117	12	parallel	parallel	ADJ
ijassa-594	117	13	speedup	speedup	NOUN
ijassa-594	117	14	on	on	ADP
ijassa-594	117	15	the	the	DET
ijassa-594	117	16	number	number	NOUN
ijassa-594	117	17	of	of	ADP
ijassa-594	117	18	processors	processor	NOUN
ijassa-594	117	19	and	and	CCONJ
ijassa-594	117	20	the	the	DET
ijassa-594	117	21	value	value	NOUN
ijassa-594	117	22	of	of	ADP
ijassa-594	117	23	parallel	parallel	ADJ
ijassa-594	117	24	portion	portion	NOUN
ijassa-594	117	25	.	.	PUNCT
ijassa-594	118	1	in	in	ADP
ijassa-594	118	2	our	our	PRON
ijassa-594	118	3	case	case	NOUN
ijassa-594	118	4	,	,	PUNCT
ijassa-594	118	5	sequential	sequential	ADJ
ijassa-594	118	6	computations	computation	NOUN
ijassa-594	118	7	arise	arise	VERB
ijassa-594	118	8	due	due	ADP
ijassa-594	118	9	to	to	ADP
ijassa-594	118	10	an	an	DET
ijassa-594	118	11	imbalance	imbalance	NOUN
ijassa-594	118	12	in	in	ADP
ijassa-594	118	13	the	the	DET
ijassa-594	118	14	number	number	NOUN
ijassa-594	118	15	of	of	ADP
ijassa-594	118	16	agents	agent	NOUN
ijassa-594	118	17	on	on	ADP
ijassa-594	118	18	the	the	DET
ijassa-594	118	19	nodes	node	NOUN
ijassa-594	118	20	,	,	PUNCT
ijassa-594	118	21	i.e.	i.e.	X
ijassa-594	118	22	if	if	SCONJ
ijassa-594	118	23	we	we	PRON
ijassa-594	118	24	have	have	VERB
ijassa-594	118	25	two	two	NUM
ijassa-594	118	26	nodes	node	NOUN
ijassa-594	118	27	and	and	CCONJ
ijassa-594	118	28	the	the	DET
ijassa-594	118	29	first	first	ADJ
ijassa-594	118	30	400	400	NUM
ijassa-594	118	31	agents	agent	NOUN
ijassa-594	118	32	,	,	PUNCT
ijassa-594	118	33	and	and	CCONJ
ijassa-594	118	34	on	on	ADP
ijassa-594	118	35	the	the	DET
ijassa-594	118	36	second	second	ADJ
ijassa-594	118	37	300	300	NUM
ijassa-594	118	38	,	,	PUNCT
ijassa-594	118	39	then	then	ADV
ijassa-594	118	40	we	we	PRON
ijassa-594	118	41	can	can	AUX
ijassa-594	118	42	say	say	VERB
ijassa-594	118	43	that	that	SCONJ
ijassa-594	118	44	the	the	DET
ijassa-594	118	45	first	first	ADJ
ijassa-594	118	46	300	300	NUM
ijassa-594	118	47	agents	agent	NOUN
ijassa-594	118	48	are	be	AUX
ijassa-594	118	49	processed	process	VERB
ijassa-594	118	50	by	by	ADP
ijassa-594	118	51	each	each	DET
ijassa-594	118	52	node	node	NOUN
ijassa-594	118	53	in	in	ADP
ijassa-594	118	54	parallel	parallel	NOUN
ijassa-594	118	55	,	,	PUNCT
ijassa-594	118	56	and	and	CCONJ
ijassa-594	118	57	the	the	DET
ijassa-594	118	58	second	second	ADJ
ijassa-594	118	59	100	100	NUM
ijassa-594	118	60	agents	agent	NOUN
ijassa-594	118	61	are	be	AUX
ijassa-594	118	62	processed	process	VERB
ijassa-594	118	63	sequentially	sequentially	ADV
ijassa-594	118	64	by	by	ADP
ijassa-594	118	65	the	the	DET
ijassa-594	118	66	second	second	ADJ
ijassa-594	118	67	one	one	NOUN
ijassa-594	118	68	,	,	PUNCT
ijassa-594	118	69	because	because	SCONJ
ijassa-594	118	70	the	the	DET
ijassa-594	118	71	second	second	ADJ
ijassa-594	118	72	node	node	NOUN
ijassa-594	118	73	ca	can	AUX
ijassa-594	118	74	n’t	not	PART
ijassa-594	118	75	perform	perform	VERB
ijassa-594	118	76	calculations	calculation	NOUN
ijassa-594	118	77	at	at	ADP
ijassa-594	118	78	this	this	DET
ijassa-594	118	79	time	time	NOUN
ijassa-594	118	80	.	.	PUNCT
ijassa-594	119	1	the	the	DET
ijassa-594	119	2	figure	figure	NOUN
ijassa-594	119	3	below	below	ADV
ijassa-594	119	4	shows	show	VERB
ijassa-594	119	5	the	the	DET
ijassa-594	119	6	dependence	dependence	NOUN
ijassa-594	119	7	of	of	ADP
ijassa-594	119	8	the	the	DET
ijassa-594	119	9	parallel	parallel	ADJ
ijassa-594	119	10	speedup	speedup	NOUN
ijassa-594	119	11	on	on	ADP
ijassa-594	119	12	the	the	DET
ijassa-594	119	13	number	number	NOUN
ijassa-594	119	14	of	of	ADP
ijassa-594	119	15	mpi	mpi	ADJ
ijassa-594	119	16	processes	process	NOUN
ijassa-594	119	17	.	.	PUNCT
ijassa-594	120	1	the	the	DET
ijassa-594	120	2	comparison	comparison	NOUN
ijassa-594	120	3	of	of	ADP
ijassa-594	120	4	amdahl	amdahl	PROPN
ijassa-594	120	5	’s	’s	PART
ijassa-594	120	6	law	law	NOUN
ijassa-594	120	7	estimates	estimate	NOUN
ijassa-594	120	8	for	for	ADP
ijassa-594	120	9	decomposition	decomposition	NOUN
ijassa-594	120	10	with	with	ADP
ijassa-594	120	11	and	and	CCONJ
ijassa-594	120	12	without	without	ADP
ijassa-594	120	13	cell	cell	NOUN
ijassa-594	120	14	weights	weight	NOUN
ijassa-594	120	15	show	show	VERB
ijassa-594	120	16	that	that	SCONJ
ijassa-594	120	17	decomposition	decomposition	NOUN
ijassa-594	120	18	with	with	ADP
ijassa-594	120	19	cell	cell	NOUN
ijassa-594	120	20	weights	weight	NOUN
ijassa-594	120	21	leads	lead	VERB
ijassa-594	120	22	to	to	ADP
ijassa-594	120	23	a	a	DET
ijassa-594	120	24	very	very	ADV
ijassa-594	120	25	balanced	balanced	ADJ
ijassa-594	120	26	distribution	distribution	NOUN
ijassa-594	120	27	of	of	ADP
ijassa-594	120	28	agents	agent	NOUN
ijassa-594	120	29	and	and	CCONJ
ijassa-594	120	30	potentially	potentially	ADV
ijassa-594	120	31	to	to	ADP
ijassa-594	120	32	a	a	DET
ijassa-594	120	33	very	very	ADV
ijassa-594	120	34	good	good	ADJ
ijassa-594	120	35	parallel	parallel	ADJ
ijassa-594	120	36	speedup	speedup	NOUN
ijassa-594	120	37	.	.	PUNCT
ijassa-594	121	1	the	the	DET
ijassa-594	121	2	real	real	ADJ
ijassa-594	121	3	parallel	parallel	ADJ
ijassa-594	121	4	speedup	speedup	NOUN
ijassa-594	121	5	of	of	ADP
ijassa-594	121	6	the	the	DET
ijassa-594	121	7	test	test	NOUN
ijassa-594	121	8	simulations	simulation	NOUN
ijassa-594	121	9	is	be	AUX
ijassa-594	121	10	significantly	significantly	ADV
ijassa-594	121	11	lower	low	ADJ
ijassa-594	121	12	than	than	ADP
ijassa-594	121	13	amdahl	amdahl	PROPN
ijassa-594	121	14	’s	’s	PART
ijassa-594	121	15	law	law	NOUN
ijassa-594	121	16	estimates	estimate	NOUN
ijassa-594	121	17	but	but	CCONJ
ijassa-594	121	18	it	it	PRON
ijassa-594	121	19	still	still	ADV
ijassa-594	121	20	shows	show	VERB
ijassa-594	121	21	rather	rather	ADV
ijassa-594	121	22	reasonable	reasonable	ADJ
ijassa-594	121	23	speedup	speedup	NOUN
ijassa-594	121	24	.	.	PUNCT
ijassa-594	122	1	the	the	DET
ijassa-594	122	2	implementation	implementation	NOUN
ijassa-594	122	3	of	of	ADP
ijassa-594	122	4	the	the	DET
ijassa-594	122	5	scalable	scalable	ADJ
ijassa-594	122	6	modelling	modelling	NOUN
ijassa-594	122	7	framework	framework	NOUN
ijassa-594	122	8	147	147	NUM
ijassa-594	122	9	copyright	copyright	NOUN
ijassa-594	122	10	©	©	PROPN
ijassa-594	122	11	2019	2019	NUM
ijassa-594	122	12	assa	assa	NOUN
ijassa-594	122	13	.	.	PUNCT
ijassa-594	123	1	adv	adv	PROPN
ijassa-594	123	2	.	.	PUNCT
ijassa-594	124	1	in	in	ADP
ijassa-594	124	2	systems	system	NOUN
ijassa-594	124	3	science	science	NOUN
ijassa-594	124	4	and	and	CCONJ
ijassa-594	124	5	appl	appl	NOUN
ijassa-594	124	6	.	.	PUNCT
ijassa-594	125	1	(	(	PUNCT
ijassa-594	125	2	2019	2019	NUM
ijassa-594	125	3	)	)	PUNCT
ijassa-594	125	4	fig	fig	NOUN
ijassa-594	125	5	.	.	PUNCT
ijassa-594	126	1	3	3	X
ijassa-594	126	2	.	.	X
ijassa-594	127	1	the	the	DET
ijassa-594	127	2	dependence	dependence	NOUN
ijassa-594	127	3	of	of	ADP
ijassa-594	127	4	the	the	DET
ijassa-594	127	5	parallel	parallel	ADJ
ijassa-594	127	6	speedup	speedup	NOUN
ijassa-594	127	7	on	on	ADP
ijassa-594	127	8	the	the	DET
ijassa-594	127	9	number	number	NOUN
ijassa-594	127	10	of	of	ADP
ijassa-594	127	11	mpi	mpi	ADJ
ijassa-594	127	12	processes	process	NOUN
ijassa-594	127	13	.	.	PUNCT
ijassa-594	128	1	the	the	DET
ijassa-594	128	2	scalability	scalability	NOUN
ijassa-594	128	3	of	of	ADP
ijassa-594	128	4	the	the	DET
ijassa-594	128	5	test	test	NOUN
ijassa-594	128	6	simulation	simulation	NOUN
ijassa-594	128	7	is	be	AUX
ijassa-594	128	8	compared	compare	VERB
ijassa-594	128	9	to	to	ADP
ijassa-594	128	10	the	the	DET
ijassa-594	128	11	ideal	ideal	ADJ
ijassa-594	128	12	speedup	speedup	NOUN
ijassa-594	128	13	curve	curve	NOUN
ijassa-594	128	14	,	,	PUNCT
ijassa-594	128	15	and	and	CCONJ
ijassa-594	128	16	to	to	ADP
ijassa-594	128	17	the	the	DET
ijassa-594	128	18	estimate	estimate	NOUN
ijassa-594	128	19	speedup	speedup	NOUN
ijassa-594	128	20	based	base	VERB
ijassa-594	128	21	on	on	ADP
ijassa-594	128	22	the	the	DET
ijassa-594	128	23	amdahl	amdahl	PROPN
ijassa-594	128	24	’s	’s	PART
ijassa-594	128	25	law	law	NOUN
ijassa-594	128	26	for	for	ADP
ijassa-594	128	27	the	the	DET
ijassa-594	128	28	cases	case	NOUN
ijassa-594	128	29	of	of	ADP
ijassa-594	128	30	decomposition	decomposition	NOUN
ijassa-594	128	31	with	with	ADP
ijassa-594	128	32	and	and	CCONJ
ijassa-594	128	33	without	without	ADP
ijassa-594	128	34	cell	cell	NOUN
ijassa-594	128	35	weights	weight	NOUN
ijassa-594	128	36	.	.	PUNCT
ijassa-594	129	1	for	for	ADP
ijassa-594	129	2	the	the	DET
ijassa-594	129	3	test	test	NOUN
ijassa-594	129	4	calculation	calculation	NOUN
ijassa-594	129	5	,	,	PUNCT
ijassa-594	129	6	a	a	DET
ijassa-594	129	7	system	system	NOUN
ijassa-594	129	8	consisting	consist	VERB
ijassa-594	129	9	of	of	ADP
ijassa-594	129	10	8400000	8400000	NUM
ijassa-594	129	11	agents	agent	NOUN
ijassa-594	129	12	was	be	AUX
ijassa-594	129	13	selected	select	VERB
ijassa-594	129	14	.	.	PUNCT
ijassa-594	130	1	for	for	ADP
ijassa-594	130	2	each	each	DET
ijassa-594	130	3	agent	agent	NOUN
ijassa-594	130	4	the	the	DET
ijassa-594	130	5	number	number	NOUN
ijassa-594	130	6	of	of	ADP
ijassa-594	130	7	neighbor	neighbor	NOUN
ijassa-594	130	8	agents	agent	NOUN
ijassa-594	130	9	was	be	AUX
ijassa-594	130	10	selected	select	VERB
ijassa-594	130	11	randomly	randomly	ADV
ijassa-594	130	12	(	(	PUNCT
ijassa-594	130	13	1	1	NUM
ijassa-594	130	14	..	..	SYM
ijassa-594	130	15	10	10	NUM
ijassa-594	130	16	)	)	PUNCT
ijassa-594	130	17	,	,	PUNCT
ijassa-594	130	18	the	the	DET
ijassa-594	130	19	neighbor	neighbor	NOUN
ijassa-594	130	20	agents	agent	NOUN
ijassa-594	130	21	were	be	AUX
ijassa-594	130	22	selected	select	VERB
ijassa-594	130	23	randomly	randomly	ADV
ijassa-594	130	24	within	within	ADP
ijassa-594	130	25	the	the	DET
ijassa-594	130	26	same	same	ADJ
ijassa-594	130	27	cell	cell	NOUN
ijassa-594	130	28	on	on	ADP
ijassa-594	130	29	the	the	DET
ijassa-594	130	30	map	map	NOUN
ijassa-594	130	31	and	and	CCONJ
ijassa-594	130	32	it	it	PRON
ijassa-594	130	33	’s	’	VERB
ijassa-594	130	34	direct	direct	ADJ
ijassa-594	130	35	neighbors	neighbor	NOUN
ijassa-594	130	36	.	.	PUNCT
ijassa-594	131	1	the	the	DET
ijassa-594	131	2	table	table	NOUN
ijassa-594	131	3	shows	show	VERB
ijassa-594	131	4	the	the	DET
ijassa-594	131	5	time	time	NOUN
ijassa-594	131	6	of	of	ADP
ijassa-594	131	7	calculation	calculation	NOUN
ijassa-594	131	8	of	of	ADP
ijassa-594	131	9	the	the	DET
ijassa-594	131	10	step	step	NOUN
ijassa-594	131	11	and	and	CCONJ
ijassa-594	131	12	the	the	DET
ijassa-594	131	13	average	average	ADJ
ijassa-594	131	14	number	number	NOUN
ijassa-594	131	15	of	of	ADP
ijassa-594	131	16	agents	agent	NOUN
ijassa-594	131	17	on	on	ADP
ijassa-594	131	18	one	one	NUM
ijassa-594	131	19	processor	processor	NOUN
ijassa-594	131	20	.	.	PUNCT
ijassa-594	132	1	table	table	NOUN
ijassa-594	132	2	.	.	PUNCT
ijassa-594	133	1	1	1	X
ijassa-594	133	2	.	.	PUNCT
ijassa-594	133	3	the	the	DET
ijassa-594	133	4	results	result	NOUN
ijassa-594	133	5	of	of	ADP
ijassa-594	133	6	the	the	DET
ijassa-594	133	7	simulation	simulation	NOUN
ijassa-594	133	8	of	of	ADP
ijassa-594	133	9	8.4	8.4	NUM
ijassa-594	133	10	million	million	NUM
ijassa-594	133	11	of	of	ADP
ijassa-594	133	12	agents	agent	NOUN
ijassa-594	133	13	for	for	ADP
ijassa-594	133	14	different	different	ADJ
ijassa-594	133	15	number	number	NOUN
ijassa-594	133	16	of	of	ADP
ijassa-594	133	17	processors	processor	NOUN
ijassa-594	133	18	.	.	PUNCT
ijassa-594	134	1	number	number	NOUN
ijassa-594	134	2	of	of	ADP
ijassa-594	134	3	cores	core	NOUN
ijassa-594	134	4	time	time	NOUN
ijassa-594	134	5	step	step	NOUN
ijassa-594	134	6	simulation	simulation	PROPN
ijassa-594	134	7	time	time	NOUN
ijassa-594	134	8	,	,	PUNCT
ijassa-594	134	9	s	s	NOUN
ijassa-594	134	10	parallel	parallel	ADJ
ijassa-594	134	11	speedup	speedup	NOUN
ijassa-594	134	12	number	number	NOUN
ijassa-594	134	13	of	of	ADP
ijassa-594	134	14	agents	agent	NOUN
ijassa-594	134	15	per	per	ADP
ijassa-594	134	16	core	core	NOUN
ijassa-594	134	17	fraction	fraction	NOUN
ijassa-594	134	18	of	of	ADP
ijassa-594	134	19	remote	remote	ADJ
ijassa-594	134	20	message	message	NOUN
ijassa-594	134	21	sends	send	VERB
ijassa-594	134	22	,	,	PUNCT
ijassa-594	134	23	%	%	NOUN
ijassa-594	134	24	1	1	NUM
ijassa-594	135	1	55.683	55.683	NUM
ijassa-594	135	2	1	1	NUM
ijassa-594	135	3	8417590	8417590	NUM
ijassa-594	135	4	0	0	NUM
ijassa-594	135	5	2	2	NUM
ijassa-594	135	6	28.872	28.872	NUM
ijassa-594	135	7	1.92	1.92	NUM
ijassa-594	135	8	4208795	4208795	NUM
ijassa-594	135	9	0.15	0.15	NUM
ijassa-594	135	10	4	4	NUM
ijassa-594	135	11	16.114	16.114	NUM
ijassa-594	135	12	3.45	3.45	NUM
ijassa-594	135	13	2104397	2104397	NUM
ijassa-594	135	14	0.39	0.39	NUM
ijassa-594	135	15	8	8	NUM
ijassa-594	135	16	10.262	10.262	NUM
ijassa-594	135	17	5.42	5.42	NUM
ijassa-594	135	18	1052198	1052198	NUM
ijassa-594	135	19	0.68	0.68	NUM
ijassa-594	135	20	12	12	NUM
ijassa-594	135	21	7.006	7.006	NUM
ijassa-594	135	22	7.94	7.94	NUM
ijassa-594	135	23	701465	701465	NUM
ijassa-594	135	24	0.91	0.91	NUM
ijassa-594	135	25	16	16	NUM
ijassa-594	135	26	5.268	5.268	NUM
ijassa-594	135	27	10.56	10.56	NUM
ijassa-594	135	28	526099	526099	NUM
ijassa-594	135	29	1.10	1.10	NUM
ijassa-594	135	30	24	24	NUM
ijassa-594	135	31	3.796	3.796	NUM
ijassa-594	135	32	14.66	14.66	NUM
ijassa-594	135	33	350732	350732	NUM
ijassa-594	135	34	1.72	1.72	NUM
ijassa-594	135	35	48	48	NUM
ijassa-594	135	36	2.161	2.161	NUM
ijassa-594	135	37	25.75	25.75	NUM
ijassa-594	135	38	175366	175366	NUM
ijassa-594	135	39	2.26	2.26	NUM
ijassa-594	135	40	96	96	NUM
ijassa-594	135	41	1.378	1.378	NUM
ijassa-594	135	42	40.38	40.38	NUM
ijassa-594	135	43	87683	87683	NUM
ijassa-594	135	44	3.41	3.41	NUM
ijassa-594	135	45	192	192	NUM
ijassa-594	135	46	0.846	0.846	NUM
ijassa-594	135	47	65.78	65.78	NUM
ijassa-594	135	48	43841	43841	NUM
ijassa-594	135	49	5.56	5.56	NUM
ijassa-594	135	50	148	148	NUM
ijassa-594	135	51	v.l	v.l	PROPN
ijassa-594	135	52	.	.	PROPN
ijassa-594	135	53	makarov	makarov	PROPN
ijassa-594	135	54	,	,	PUNCT
ijassa-594	135	55	a.r	a.r	PROPN
ijassa-594	135	56	.	.	PROPN
ijassa-594	135	57	bakhtizin	bakhtizin	PROPN
ijassa-594	135	58	,	,	PUNCT
ijassa-594	135	59	e.d	e.d	PROPN
ijassa-594	135	60	.	.	PROPN
ijassa-594	135	61	sushko	sushko	PROPN
ijassa-594	135	62	,	,	PUNCT
ijassa-594	135	63	g.b	g.b	PROPN
ijassa-594	135	64	.	.	PROPN
ijassa-594	135	65	sushko	sushko	PROPN
ijassa-594	135	66	copyright	copyright	NOUN
ijassa-594	135	67	©	©	PROPN
ijassa-594	135	68	2019	2019	NUM
ijassa-594	135	69	assa	assa	NOUN
ijassa-594	135	70	.	.	PUNCT
ijassa-594	136	1	adv	adv	PROPN
ijassa-594	136	2	.	.	PUNCT
ijassa-594	137	1	in	in	ADP
ijassa-594	137	2	systems	system	NOUN
ijassa-594	137	3	science	science	NOUN
ijassa-594	137	4	and	and	CCONJ
ijassa-594	137	5	appl	appl	NOUN
ijassa-594	137	6	.	.	PUNCT
ijassa-594	138	1	(	(	PUNCT
ijassa-594	138	2	2019	2019	NUM
ijassa-594	138	3	)	)	PUNCT
ijassa-594	138	4	the	the	DET
ijassa-594	138	5	results	result	NOUN
ijassa-594	138	6	shown	show	VERB
ijassa-594	138	7	in	in	ADP
ijassa-594	138	8	the	the	DET
ijassa-594	138	9	table	table	NOUN
ijassa-594	138	10	above	above	ADP
ijassa-594	138	11	show	show	VERB
ijassa-594	138	12	that	that	SCONJ
ijassa-594	138	13	the	the	DET
ijassa-594	138	14	distribution	distribution	NOUN
ijassa-594	138	15	of	of	ADP
ijassa-594	138	16	agents	agent	NOUN
ijassa-594	138	17	by	by	ADP
ijassa-594	138	18	processors	processor	NOUN
ijassa-594	138	19	as	as	ADP
ijassa-594	138	20	a	a	DET
ijassa-594	138	21	result	result	NOUN
ijassa-594	138	22	of	of	ADP
ijassa-594	138	23	the	the	DET
ijassa-594	138	24	decomposition	decomposition	NOUN
ijassa-594	138	25	was	be	AUX
ijassa-594	138	26	fairly	fairly	ADV
ijassa-594	138	27	uniform	uniform	ADJ
ijassa-594	138	28	,	,	PUNCT
ijassa-594	138	29	but	but	CCONJ
ijassa-594	138	30	the	the	DET
ijassa-594	138	31	overall	overall	ADJ
ijassa-594	138	32	parallel	parallel	ADJ
ijassa-594	138	33	speedup	speedup	NOUN
ijassa-594	138	34	in	in	ADP
ijassa-594	138	35	this	this	DET
ijassa-594	138	36	version	version	NOUN
ijassa-594	138	37	is	be	AUX
ijassa-594	138	38	limited	limit	VERB
ijassa-594	138	39	to	to	ADP
ijassa-594	138	40	a	a	DET
ijassa-594	138	41	several	several	ADJ
ijassa-594	138	42	dozen	dozen	NOUN
ijassa-594	138	43	times	time	NOUN
ijassa-594	138	44	.	.	PUNCT
ijassa-594	139	1	the	the	DET
ijassa-594	139	2	table	table	NOUN
ijassa-594	139	3	also	also	ADV
ijassa-594	139	4	shows	show	VERB
ijassa-594	139	5	the	the	DET
ijassa-594	139	6	dependence	dependence	NOUN
ijassa-594	139	7	of	of	ADP
ijassa-594	139	8	the	the	DET
ijassa-594	139	9	fraction	fraction	NOUN
ijassa-594	139	10	of	of	ADP
ijassa-594	139	11	remote	remote	ADJ
ijassa-594	139	12	message	message	NOUN
ijassa-594	139	13	sends	send	VERB
ijassa-594	139	14	which	which	PRON
ijassa-594	139	15	were	be	AUX
ijassa-594	139	16	delivered	deliver	VERB
ijassa-594	139	17	to	to	ADP
ijassa-594	139	18	agent	agent	NOUN
ijassa-594	139	19	on	on	ADP
ijassa-594	139	20	another	another	DET
ijassa-594	139	21	processor	processor	NOUN
ijassa-594	139	22	.	.	PUNCT
ijassa-594	140	1	the	the	DET
ijassa-594	140	2	increase	increase	NOUN
ijassa-594	140	3	of	of	ADP
ijassa-594	140	4	the	the	DET
ijassa-594	140	5	number	number	NOUN
ijassa-594	140	6	of	of	ADP
ijassa-594	140	7	processors	processor	NOUN
ijassa-594	140	8	leads	lead	VERB
ijassa-594	140	9	to	to	PART
ijassa-594	140	10	increase	increase	NOUN
ijassa-594	140	11	of	of	ADP
ijassa-594	140	12	the	the	DET
ijassa-594	140	13	number	number	NOUN
ijassa-594	140	14	of	of	ADP
ijassa-594	140	15	borders	border	NOUN
ijassa-594	140	16	between	between	ADP
ijassa-594	140	17	areas	area	NOUN
ijassa-594	140	18	attributed	attribute	VERB
ijassa-594	140	19	to	to	ADP
ijassa-594	140	20	different	different	ADJ
ijassa-594	140	21	processors	processor	NOUN
ijassa-594	140	22	,	,	PUNCT
ijassa-594	140	23	the	the	DET
ijassa-594	140	24	number	number	NOUN
ijassa-594	140	25	of	of	ADP
ijassa-594	140	26	remote	remote	ADJ
ijassa-594	140	27	sends	send	NOUN
ijassa-594	140	28	and	and	CCONJ
ijassa-594	140	29	the	the	DET
ijassa-594	140	30	ratio	ratio	NOUN
ijassa-594	140	31	between	between	ADP
ijassa-594	140	32	network	network	NOUN
ijassa-594	140	33	exchanges	exchange	NOUN
ijassa-594	140	34	and	and	CCONJ
ijassa-594	140	35	local	local	ADJ
ijassa-594	140	36	calculations	calculation	NOUN
ijassa-594	140	37	within	within	ADP
ijassa-594	140	38	one	one	NUM
ijassa-594	140	39	processor	processor	NOUN
ijassa-594	140	40	which	which	PRON
ijassa-594	140	41	is	be	AUX
ijassa-594	140	42	another	another	DET
ijassa-594	140	43	factor	factor	NOUN
ijassa-594	140	44	which	which	PRON
ijassa-594	140	45	affects	affect	VERB
ijassa-594	140	46	the	the	DET
ijassa-594	140	47	scalability	scalability	NOUN
ijassa-594	140	48	of	of	ADP
ijassa-594	140	49	the	the	DET
ijassa-594	140	50	simulation	simulation	NOUN
ijassa-594	140	51	.	.	PUNCT
ijassa-594	141	1	uniform	uniform	ADJ
ijassa-594	141	2	distribution	distribution	NOUN
ijassa-594	141	3	of	of	ADP
ijassa-594	141	4	the	the	DET
ijassa-594	141	5	number	number	NOUN
ijassa-594	141	6	of	of	ADP
ijassa-594	141	7	agents	agent	NOUN
ijassa-594	141	8	by	by	ADP
ijassa-594	141	9	processors	processor	NOUN
ijassa-594	141	10	allows	allow	VERB
ijassa-594	141	11	you	you	PRON
ijassa-594	141	12	to	to	PART
ijassa-594	141	13	evenly	evenly	ADV
ijassa-594	141	14	distribute	distribute	VERB
ijassa-594	141	15	the	the	DET
ijassa-594	141	16	load	load	NOUN
ijassa-594	141	17	of	of	ADP
ijassa-594	141	18	ram	ram	NOUN
ijassa-594	141	19	of	of	ADP
ijassa-594	141	20	each	each	DET
ijassa-594	141	21	node	node	NOUN
ijassa-594	141	22	of	of	ADP
ijassa-594	141	23	the	the	DET
ijassa-594	141	24	cluster	cluster	NOUN
ijassa-594	141	25	.	.	PUNCT
ijassa-594	142	1	as	as	ADP
ijassa-594	142	2	a	a	DET
ijassa-594	142	3	test	test	NOUN
ijassa-594	142	4	case	case	NOUN
ijassa-594	142	5	,	,	PUNCT
ijassa-594	142	6	a	a	DET
ijassa-594	142	7	multi	multi	ADJ
ijassa-594	142	8	-	-	ADJ
ijassa-594	142	9	agent	agent	ADJ
ijassa-594	142	10	system	system	NOUN
ijassa-594	142	11	was	be	AUX
ijassa-594	142	12	calculated	calculate	VERB
ijassa-594	142	13	with	with	ADP
ijassa-594	142	14	148	148	NUM
ijassa-594	142	15	million	million	NUM
ijassa-594	142	16	agents	agent	NOUN
ijassa-594	142	17	on	on	ADP
ijassa-594	142	18	192	192	NUM
ijassa-594	142	19	cluster	cluster	NOUN
ijassa-594	142	20	processors	processor	NOUN
ijassa-594	142	21	.	.	PUNCT
ijassa-594	143	1	the	the	DET
ijassa-594	143	2	main	main	ADJ
ijassa-594	143	3	difficulty	difficulty	NOUN
ijassa-594	143	4	in	in	ADP
ijassa-594	143	5	this	this	DET
ijassa-594	143	6	case	case	NOUN
ijassa-594	143	7	was	be	AUX
ijassa-594	143	8	that	that	SCONJ
ijassa-594	143	9	with	with	ADP
ijassa-594	143	10	the	the	DET
ijassa-594	143	11	total	total	ADJ
ijassa-594	143	12	amount	amount	NOUN
ijassa-594	143	13	of	of	ADP
ijassa-594	143	14	ram	ram	NOUN
ijassa-594	143	15	of	of	ADP
ijassa-594	143	16	the	the	DET
ijassa-594	143	17	allocated	allocate	VERB
ijassa-594	143	18	nodes	node	NOUN
ijassa-594	143	19	in	in	ADP
ijassa-594	143	20	192	192	NUM
ijassa-594	143	21	gb	gb	NOUN
ijassa-594	143	22	on	on	ADP
ijassa-594	143	23	each	each	DET
ijassa-594	143	24	node	node	NOUN
ijassa-594	143	25	of	of	ADP
ijassa-594	143	26	the	the	DET
ijassa-594	143	27	cluster	cluster	NOUN
ijassa-594	143	28	there	there	PRON
ijassa-594	143	29	was	be	VERB
ijassa-594	143	30	only	only	ADV
ijassa-594	143	31	8	8	NUM
ijassa-594	143	32	gb	gb	NOUN
ijassa-594	143	33	of	of	ADP
ijassa-594	143	34	ram	ram	NOUN
ijassa-594	143	35	.	.	PUNCT
ijassa-594	144	1	thus	thus	ADV
ijassa-594	144	2	,	,	PUNCT
ijassa-594	144	3	it	it	PRON
ijassa-594	144	4	was	be	AUX
ijassa-594	144	5	necessary	necessary	ADJ
ijassa-594	144	6	to	to	PART
ijassa-594	144	7	distribute	distribute	VERB
ijassa-594	144	8	the	the	DET
ijassa-594	144	9	agents	agent	NOUN
ijassa-594	144	10	evenly	evenly	ADV
ijassa-594	144	11	,	,	PUNCT
ijassa-594	144	12	so	so	SCONJ
ijassa-594	144	13	that	that	SCONJ
ijassa-594	144	14	on	on	ADP
ijassa-594	144	15	none	none	NOUN
ijassa-594	144	16	of	of	ADP
ijassa-594	144	17	the	the	DET
ijassa-594	144	18	cluster	cluster	NOUN
ijassa-594	144	19	nodes	nod	VERB
ijassa-594	144	20	the	the	DET
ijassa-594	144	21	simulation	simulation	NOUN
ijassa-594	144	22	processes	process	NOUN
ijassa-594	144	23	exceed	exceed	VERB
ijassa-594	144	24	the	the	DET
ijassa-594	144	25	memory	memory	NOUN
ijassa-594	144	26	consumption	consumption	NOUN
ijassa-594	144	27	limit	limit	NOUN
ijassa-594	144	28	.	.	PUNCT
ijassa-594	145	1	fig	fig	NOUN
ijassa-594	145	2	.	.	PUNCT
ijassa-594	146	1	4	4	X
ijassa-594	146	2	.	.	X
ijassa-594	146	3	decomposition	decomposition	NOUN
ijassa-594	146	4	of	of	ADP
ijassa-594	146	5	the	the	DET
ijassa-594	146	6	computational	computational	ADJ
ijassa-594	146	7	grid	grid	NOUN
ijassa-594	146	8	into	into	ADP
ijassa-594	146	9	192	192	NUM
ijassa-594	146	10	processors	processor	NOUN
ijassa-594	146	11	taking	take	VERB
ijassa-594	146	12	into	into	ADP
ijassa-594	146	13	account	account	NOUN
ijassa-594	146	14	population	population	NOUN
ijassa-594	146	15	density	density	NOUN
ijassa-594	146	16	.	.	PUNCT
ijassa-594	147	1	the	the	DET
ijassa-594	147	2	figure	figure	NOUN
ijassa-594	147	3	above	above	ADV
ijassa-594	147	4	shows	show	VERB
ijassa-594	147	5	the	the	DET
ijassa-594	147	6	distribution	distribution	NOUN
ijassa-594	147	7	of	of	ADP
ijassa-594	147	8	the	the	DET
ijassa-594	147	9	calculated	calculate	VERB
ijassa-594	147	10	grid	grid	NOUN
ijassa-594	147	11	for	for	ADP
ijassa-594	147	12	192	192	NUM
ijassa-594	147	13	processors	processor	NOUN
ijassa-594	147	14	,	,	PUNCT
ijassa-594	147	15	built	build	VERB
ijassa-594	147	16	taking	take	VERB
ijassa-594	147	17	into	into	ADP
ijassa-594	147	18	account	account	NOUN
ijassa-594	147	19	the	the	DET
ijassa-594	147	20	population	population	NOUN
ijassa-594	147	21	density	density	NOUN
ijassa-594	147	22	.	.	PUNCT
ijassa-594	148	1	in	in	ADP
ijassa-594	148	2	the	the	DET
ijassa-594	148	3	distribution	distribution	NOUN
ijassa-594	148	4	,	,	PUNCT
ijassa-594	148	5	the	the	DET
ijassa-594	148	6	average	average	ADJ
ijassa-594	148	7	number	number	NOUN
ijassa-594	148	8	of	of	ADP
ijassa-594	148	9	agents	agent	NOUN
ijassa-594	148	10	per	per	ADP
ijassa-594	148	11	processor	processor	NOUN
ijassa-594	148	12	was	be	AUX
ijassa-594	148	13	772000	772000	NUM
ijassa-594	148	14	.	.	PUNCT
ijassa-594	149	1	the	the	DET
ijassa-594	149	2	number	number	NOUN
ijassa-594	149	3	of	of	ADP
ijassa-594	149	4	agents	agent	NOUN
ijassa-594	149	5	per	per	ADP
ijassa-594	149	6	processor	processor	NOUN
ijassa-594	149	7	ranged	range	VERB
ijassa-594	149	8	from	from	ADP
ijassa-594	149	9	743711	743711	NUM
ijassa-594	149	10	to	to	ADP
ijassa-594	149	11	787266	787266	NUM
ijassa-594	149	12	,	,	PUNCT
ijassa-594	149	13	i.e.	i.e.	X
ijassa-594	149	14	the	the	DET
ijassa-594	149	15	spread	spread	NOUN
ijassa-594	149	16	of	of	ADP
ijassa-594	149	17	the	the	DET
ijassa-594	149	18	number	number	NOUN
ijassa-594	149	19	of	of	ADP
ijassa-594	149	20	agents	agent	NOUN
ijassa-594	149	21	on	on	ADP
ijassa-594	149	22	one	one	NUM
ijassa-594	149	23	processor	processor	NOUN
ijassa-594	149	24	was	be	AUX
ijassa-594	149	25	~	~	PUNCT
ijassa-594	149	26	6	6	NUM
ijassa-594	149	27	%	%	NOUN
ijassa-594	149	28	of	of	ADP
ijassa-594	149	29	the	the	DET
ijassa-594	149	30	average	average	NOUN
ijassa-594	149	31	.	.	PUNCT
ijassa-594	150	1	the	the	DET
ijassa-594	150	2	calculation	calculation	NOUN
ijassa-594	150	3	of	of	ADP
ijassa-594	150	4	one	one	NUM
ijassa-594	150	5	step	step	NOUN
ijassa-594	150	6	in	in	ADP
ijassa-594	150	7	this	this	DET
ijassa-594	150	8	simulation	simulation	NOUN
ijassa-594	150	9	took	take	VERB
ijassa-594	150	10	about	about	ADV
ijassa-594	150	11	15	15	NUM
ijassa-594	150	12	seconds	second	NOUN
ijassa-594	150	13	.	.	PUNCT
ijassa-594	151	1	in	in	ADP
ijassa-594	151	2	the	the	DET
ijassa-594	151	3	future	future	NOUN
ijassa-594	151	4	,	,	PUNCT
ijassa-594	151	5	the	the	DET
ijassa-594	151	6	spread	spread	NOUN
ijassa-594	151	7	of	of	ADP
ijassa-594	151	8	the	the	DET
ijassa-594	151	9	number	number	NOUN
ijassa-594	151	10	of	of	ADP
ijassa-594	151	11	agents	agent	NOUN
ijassa-594	151	12	can	can	AUX
ijassa-594	151	13	be	be	AUX
ijassa-594	151	14	reduced	reduce	VERB
ijassa-594	151	15	by	by	ADP
ijassa-594	151	16	using	use	VERB
ijassa-594	151	17	a	a	DET
ijassa-594	151	18	smaller	small	ADJ
ijassa-594	151	19	calculation	calculation	NOUN
ijassa-594	151	20	grid	grid	NOUN
ijassa-594	151	21	,	,	PUNCT
ijassa-594	151	22	which	which	PRON
ijassa-594	151	23	will	will	AUX
ijassa-594	151	24	improve	improve	VERB
ijassa-594	151	25	the	the	DET
ijassa-594	151	26	accuracy	accuracy	NOUN
ijassa-594	151	27	of	of	ADP
ijassa-594	151	28	the	the	DET
ijassa-594	151	29	decomposition	decomposition	NOUN
ijassa-594	151	30	.	.	PUNCT
ijassa-594	152	1	3.conclusion	3.conclusion	NUM
ijassa-594	152	2	in	in	ADP
ijassa-594	152	3	this	this	DET
ijassa-594	152	4	work	work	NOUN
ijassa-594	152	5	a	a	DET
ijassa-594	152	6	new	new	ADJ
ijassa-594	152	7	framework	framework	NOUN
ijassa-594	152	8	for	for	ADP
ijassa-594	152	9	parallel	parallel	ADJ
ijassa-594	152	10	calculations	calculation	NOUN
ijassa-594	152	11	of	of	ADP
ijassa-594	152	12	agent	agent	NOUN
ijassa-594	152	13	-	-	PUNCT
ijassa-594	152	14	based	base	VERB
ijassa-594	152	15	models	model	NOUN
ijassa-594	152	16	was	be	AUX
ijassa-594	152	17	presented	present	VERB
ijassa-594	152	18	and	and	CCONJ
ijassa-594	152	19	tested	test	VERB
ijassa-594	152	20	.	.	PUNCT
ijassa-594	153	1	the	the	DET
ijassa-594	153	2	framework	framework	NOUN
ijassa-594	153	3	uses	use	VERB
ijassa-594	153	4	metis	metis	NOUN
ijassa-594	153	5	graph	graph	NOUN
ijassa-594	153	6	decomposition	decomposition	NOUN
ijassa-594	153	7	algorithm	algorithm	NOUN
ijassa-594	153	8	to	to	PART
ijassa-594	153	9	perform	perform	VERB
ijassa-594	153	10	natural	natural	ADJ
ijassa-594	153	11	spatial	spatial	ADJ
ijassa-594	153	12	distribution	distribution	NOUN
ijassa-594	153	13	of	of	ADP
ijassa-594	153	14	agents	agent	NOUN
ijassa-594	153	15	in	in	ADP
ijassa-594	153	16	abm	abm	PROPN
ijassa-594	153	17	-	-	PUNCT
ijassa-594	153	18	simulations	simulation	NOUN
ijassa-594	153	19	to	to	PART
ijassa-594	153	20	achieve	achieve	VERB
ijassa-594	153	21	high	high	ADJ
ijassa-594	153	22	level	level	NOUN
ijassa-594	153	23	of	of	ADP
ijassa-594	153	24	balance	balance	NOUN
ijassa-594	153	25	and	and	CCONJ
ijassa-594	153	26	parallel	parallel	ADJ
ijassa-594	153	27	scalability	scalability	NOUN
ijassa-594	153	28	.	.	PUNCT
ijassa-594	154	1	the	the	DET
ijassa-594	154	2	decomposition	decomposition	NOUN
ijassa-594	154	3	algorithm	algorithm	NOUN
ijassa-594	154	4	based	base	VERB
ijassa-594	154	5	on	on	ADP
ijassa-594	154	6	cell	cell	NOUN
ijassa-594	154	7	distribution	distribution	NOUN
ijassa-594	154	8	allows	allow	VERB
ijassa-594	154	9	us	we	PRON
ijassa-594	154	10	to	to	PART
ijassa-594	154	11	compute	compute	VERB
ijassa-594	154	12	a	a	DET
ijassa-594	154	13	balanced	balanced	ADJ
ijassa-594	154	14	distribution	distribution	NOUN
ijassa-594	154	15	of	of	ADP
ijassa-594	154	16	agents	agent	NOUN
ijassa-594	154	17	efficiently	efficiently	ADV
ijassa-594	154	18	.	.	PUNCT
ijassa-594	155	1	which	which	PRON
ijassa-594	155	2	can	can	AUX
ijassa-594	155	3	be	be	AUX
ijassa-594	155	4	used	use	VERB
ijassa-594	155	5	for	for	ADP
ijassa-594	155	6	both	both	DET
ijassa-594	155	7	initial	initial	ADJ
ijassa-594	155	8	distribution	distribution	NOUN
ijassa-594	155	9	of	of	ADP
ijassa-594	155	10	agents	agent	NOUN
ijassa-594	155	11	and	and	CCONJ
ijassa-594	155	12	redistribution	redistribution	NOUN
ijassa-594	155	13	of	of	ADP
ijassa-594	155	14	agents	agent	NOUN
ijassa-594	155	15	during	during	ADP
ijassa-594	155	16	simulation	simulation	NOUN
ijassa-594	155	17	.	.	PUNCT
ijassa-594	156	1	the	the	DET
ijassa-594	156	2	provided	provide	VERB
ijassa-594	156	3	results	result	NOUN
ijassa-594	156	4	of	of	ADP
ijassa-594	156	5	the	the	DET
ijassa-594	156	6	implementation	implementation	NOUN
ijassa-594	156	7	of	of	ADP
ijassa-594	156	8	the	the	DET
ijassa-594	156	9	scalable	scalable	ADJ
ijassa-594	156	10	modelling	modelling	NOUN
ijassa-594	156	11	framework	framework	NOUN
ijassa-594	156	12	149	149	NUM
ijassa-594	156	13	copyright	copyright	NOUN
ijassa-594	156	14	©	©	PROPN
ijassa-594	156	15	2019	2019	NUM
ijassa-594	156	16	assa	assa	NOUN
ijassa-594	156	17	.	.	PUNCT
ijassa-594	157	1	adv	adv	PROPN
ijassa-594	157	2	.	.	PUNCT
ijassa-594	158	1	in	in	ADP
ijassa-594	158	2	systems	system	NOUN
ijassa-594	158	3	science	science	NOUN
ijassa-594	158	4	and	and	CCONJ
ijassa-594	158	5	appl	appl	NOUN
ijassa-594	158	6	.	.	PUNCT
ijassa-594	159	1	(	(	PUNCT
ijassa-594	159	2	2019	2019	NUM
ijassa-594	159	3	)	)	PUNCT
ijassa-594	159	4	the	the	DET
ijassa-594	159	5	test	test	NOUN
ijassa-594	159	6	simulations	simulation	NOUN
ijassa-594	159	7	show	show	VERB
ijassa-594	159	8	good	good	ADJ
ijassa-594	159	9	scalability	scalability	NOUN
ijassa-594	159	10	of	of	ADP
ijassa-594	159	11	the	the	DET
ijassa-594	159	12	program	program	NOUN
ijassa-594	159	13	across	across	ADP
ijassa-594	159	14	multiple	multiple	ADJ
ijassa-594	159	15	computational	computational	ADJ
ijassa-594	159	16	nodes	node	NOUN
ijassa-594	159	17	and	and	CCONJ
ijassa-594	159	18	possibility	possibility	NOUN
ijassa-594	159	19	to	to	PART
ijassa-594	159	20	perform	perform	VERB
ijassa-594	159	21	abm	abm	PROPN
ijassa-594	159	22	simulations	simulation	NOUN
ijassa-594	159	23	with	with	ADP
ijassa-594	159	24	number	number	NOUN
ijassa-594	159	25	of	of	ADP
ijassa-594	159	26	agents	agent	NOUN
ijassa-594	159	27	comparable	comparable	ADJ
ijassa-594	159	28	to	to	ADP
ijassa-594	159	29	population	population	NOUN
ijassa-594	159	30	of	of	ADP
ijassa-594	159	31	large	large	ADJ
ijassa-594	159	32	countries	country	NOUN
ijassa-594	159	33	and	and	CCONJ
ijassa-594	159	34	regions	region	NOUN
ijassa-594	159	35	.	.	PUNCT
ijassa-594	160	1	acknowledgements	acknowledgement	NOUN
ijassa-594	160	2	this	this	DET
ijassa-594	160	3	work	work	NOUN
ijassa-594	160	4	was	be	AUX
ijassa-594	160	5	supported	support	VERB
ijassa-594	160	6	by	by	ADP
ijassa-594	160	7	the	the	DET
ijassa-594	160	8	russian	russian	PROPN
ijassa-594	160	9	science	science	PROPN
ijassa-594	160	10	foundation	foundation	PROPN
ijassa-594	160	11	(	(	PUNCT
ijassa-594	160	12	grant	grant	VERB
ijassa-594	160	13	#	#	NOUN
ijassa-594	160	14	14	14	NUM
ijassa-594	160	15	-	-	SYM
ijassa-594	160	16	18	18	NUM
ijassa-594	160	17	-	-	PUNCT
ijassa-594	160	18	01968	01968	NUM
ijassa-594	160	19	)	)	PUNCT
ijassa-594	160	20	.	.	PUNCT
ijassa-594	161	1	the	the	DET
ijassa-594	161	2	possibility	possibility	NOUN
ijassa-594	161	3	to	to	PART
ijassa-594	161	4	perform	perform	VERB
ijassa-594	161	5	computer	computer	NOUN
ijassa-594	161	6	simulations	simulation	NOUN
ijassa-594	161	7	at	at	ADP
ijassa-594	161	8	the	the	DET
ijassa-594	161	9	mvs-100k	mvs-100k	PROPN
ijassa-594	161	10	joint	joint	ADJ
ijassa-594	161	11	supercomputer	supercomputer	NOUN
ijassa-594	161	12	center	center	NOUN
ijassa-594	161	13	and	and	CCONJ
ijassa-594	161	14	tianhe	tianhe	PROPN
ijassa-594	161	15	2	2	PROPN
ijassa-594	161	16	supercomputer	supercomputer	NOUN
ijassa-594	161	17	is	be	AUX
ijassa-594	161	18	gratefully	gratefully	ADV
ijassa-594	161	19	acknowledged	acknowledge	VERB
ijassa-594	161	20	.	.	PUNCT
ijassa-594	162	1	references	reference	NOUN
ijassa-594	162	2	[	[	X
ijassa-594	162	3	1	1	NUM
ijassa-594	162	4	]	]	PUNCT
ijassa-594	162	5	karypis	karypi	VERB
ijassa-594	162	6	,	,	PUNCT
ijassa-594	162	7	g.	g.	PROPN
ijassa-594	162	8	&	&	CCONJ
ijassa-594	162	9	kumar	kumar	PROPN
ijassa-594	162	10	,	,	PUNCT
ijassa-594	162	11	v.	v.	PROPN
ijassa-594	162	12	(	(	PUNCT
ijassa-594	162	13	1995	1995	NUM
ijassa-594	162	14	)	)	PUNCT
ijassa-594	162	15	.	.	PUNCT
ijassa-594	163	1	metis	metis	NOUN
ijassa-594	163	2	-	-	PUNCT
ijassa-594	163	3	unstructured	unstructured	ADJ
ijassa-594	163	4	graph	graph	NOUN
ijassa-594	163	5	partitioning	partition	VERB
ijassa-594	163	6	and	and	CCONJ
ijassa-594	163	7	sparse	sparse	ADJ
ijassa-594	163	8	matrix	matrix	NOUN
ijassa-594	163	9	ordering	ordering	NOUN
ijassa-594	163	10	system	system	NOUN
ijassa-594	163	11	,	,	PUNCT
ijassa-594	163	12	version	version	NOUN
ijassa-594	163	13	2.0	2.0	NUM
ijassa-594	163	14	.	.	PUNCT
ijassa-594	164	1	[	[	X
ijassa-594	164	2	2	2	NUM
ijassa-594	164	3	]	]	PUNCT
ijassa-594	164	4	karypis	karypi	VERB
ijassa-594	164	5	,	,	PUNCT
ijassa-594	164	6	g.	g.	PROPN
ijassa-594	164	7	&	&	CCONJ
ijassa-594	164	8	kumar	kumar	PROPN
ijassa-594	164	9	,	,	PUNCT
ijassa-594	164	10	v.	v.	PROPN
ijassa-594	164	11	(	(	PUNCT
ijassa-594	164	12	1999	1999	NUM
ijassa-594	164	13	)	)	PUNCT
ijassa-594	164	14	parallel	parallel	ADJ
ijassa-594	164	15	multilevel	multilevel	ADJ
ijassa-594	164	16	k	k	ADJ
ijassa-594	164	17	-	-	PUNCT
ijassa-594	164	18	way	way	NOUN
ijassa-594	164	19	partitioning	partitioning	NOUN
ijassa-594	164	20	scheme	scheme	NOUN
ijassa-594	164	21	for	for	ADP
ijassa-594	164	22	irregular	irregular	ADJ
ijassa-594	164	23	graphs	graph	NOUN
ijassa-594	164	24	.	.	PUNCT
ijassa-594	165	1	//	//	PUNCT
ijassa-594	165	2	siam	siam	PROPN
ijassa-594	165	3	review	review	PROPN
ijassa-594	165	4	,	,	PUNCT
ijassa-594	165	5	vol	vol	NOUN
ijassa-594	165	6	.	.	PROPN
ijassa-594	165	7	41	41	NUM
ijassa-594	165	8	,	,	PUNCT
ijassa-594	165	9	no	no	INTJ
ijassa-594	165	10	.	.	NOUN
ijassa-594	165	11	2	2	NUM
ijassa-594	165	12	,	,	PUNCT
ijassa-594	165	13	pp	pp	ADJ
ijassa-594	165	14	.	.	PUNCT
ijassa-594	166	1	278	278	NUM
ijassa-594	166	2	300	300	NUM
ijassa-594	166	3	[	[	X
ijassa-594	166	4	3	3	NUM
ijassa-594	166	5	]	]	X
ijassa-594	166	6	lasalle	lasalle	PROPN
ijassa-594	166	7	,	,	PUNCT
ijassa-594	166	8	d.	d.	PROPN
ijassa-594	166	9	&	&	CCONJ
ijassa-594	166	10	karypis	karypis	PROPN
ijassa-594	166	11	,	,	PUNCT
ijassa-594	166	12	g.	g.	PROPN
ijassa-594	166	13	(	(	PUNCT
ijassa-594	166	14	2013	2013	NUM
ijassa-594	166	15	)	)	PUNCT
ijassa-594	166	16	multi	multi	ADJ
ijassa-594	166	17	-	-	ADJ
ijassa-594	166	18	threaded	threaded	ADJ
ijassa-594	166	19	graph	graph	NOUN
ijassa-594	166	20	partitioning	partition	VERB
ijassa-594	166	21	//	//	SYM
ijassa-594	166	22	27th	27th	PROPN
ijassa-594	166	23	ieee	ieee	PROPN
ijassa-594	166	24	international	international	PROPN
ijassa-594	166	25	parallel	parallel	PROPN
ijassa-594	166	26	&	&	CCONJ
ijassa-594	166	27	distributed	distributed	ADJ
ijassa-594	166	28	processing	processing	NOUN
ijassa-594	166	29	symposium	symposium	NOUN
ijassa-594	167	1	[	[	X
ijassa-594	167	2	4	4	NUM
ijassa-594	167	3	]	]	SYM
ijassa-594	167	4	https://en.wikipedia.org/wiki/axum_(programming_language	https://en.wikipedia.org/wiki/axum_(programming_language	NOUN
ijassa-594	167	5	)	)	PUNCT
ijassa-594	168	1	[	[	X
ijassa-594	168	2	5	5	X
ijassa-594	168	3	]	]	X
ijassa-594	168	4	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modellingframework	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modellingframework	PROPN
ijassa-594	169	1	[	[	X
ijassa-594	169	2	6	6	NUM
ijassa-594	169	3	]	]	X
ijassa-594	169	4	scheutz	scheutz	ADJ
ijassa-594	169	5	,	,	PUNCT
ijassa-594	169	6	m.	m.	NOUN
ijassa-594	169	7	,	,	PUNCT
ijassa-594	169	8	connaughton	connaughton	PROPN
ijassa-594	169	9	,	,	PUNCT
ijassa-594	169	10	r.	r.	PROPN
ijassa-594	169	11	,	,	PUNCT
ijassa-594	169	12	dingler	dingler	NOUN
ijassa-594	169	13	,	,	PUNCT
ijassa-594	169	14	a.	a.	NOUN
ijassa-594	169	15	,	,	PUNCT
ijassa-594	169	16	&	&	CCONJ
ijassa-594	169	17	schermerhorn	schermerhorn	ADJ
ijassa-594	169	18	,	,	PUNCT
ijassa-594	169	19	p.	p.	NOUN
ijassa-594	169	20	(	(	PUNCT
ijassa-594	169	21	2006	2006	NUM
ijassa-594	169	22	)	)	PUNCT
ijassa-594	169	23	.	.	PUNCT
ijassa-594	170	1	swages	swage	NOUN
ijassa-594	170	2	an	an	DET
ijassa-594	170	3	extendable	extendable	ADJ
ijassa-594	170	4	distributed	distribute	VERB
ijassa-594	170	5	experimentation	experimentation	NOUN
ijassa-594	170	6	system	system	NOUN
ijassa-594	170	7	for	for	ADP
ijassa-594	170	8	large	large	ADJ
ijassa-594	170	9	-	-	PUNCT
ijassa-594	170	10	scale	scale	NOUN
ijassa-594	170	11	agent	agent	NOUN
ijassa-594	170	12	-	-	PUNCT
ijassa-594	170	13	based	base	VERB
ijassa-594	170	14	alife	alife	NOUN
ijassa-594	170	15	simulations	simulation	NOUN
ijassa-594	170	16	.	.	PUNCT
ijassa-594	171	1	in	in	ADP
ijassa-594	171	2	proc	proc	PROPN
ijassa-594	171	3	.	.	PUNCT
ijassa-594	172	1	of	of	ADP
ijassa-594	172	2	artificial	artificial	ADJ
ijassa-594	172	3	life	life	NOUN
ijassa-594	172	4	x	x	NOUN
ijassa-594	172	5	,	,	PUNCT
ijassa-594	172	6	pp	pp	ADJ
ijassa-594	172	7	.	.	PUNCT
ijassa-594	172	8	412	412	NUM
ijassa-594	172	9	-	-	SYM
ijassa-594	172	10	419	419	NUM
ijassa-594	172	11	.	.	PUNCT
ijassa-594	173	1	[	[	X
ijassa-594	173	2	7	7	NUM
ijassa-594	173	3	]	]	X
ijassa-594	173	4	collier	collier	X
ijassa-594	173	5	,	,	PUNCT
ijassa-594	173	6	n.	n.	NOUN
ijassa-594	173	7	,	,	PUNCT
ijassa-594	173	8	ozik	ozik	NOUN
ijassa-594	173	9	,	,	PUNCT
ijassa-594	173	10	j.	j.	PROPN
ijassa-594	173	11	,	,	PUNCT
ijassa-594	173	12	&	&	CCONJ
ijassa-594	173	13	macal	macal	ADJ
ijassa-594	173	14	,	,	PUNCT
ijassa-594	173	15	c.	c.	PROPN
ijassa-594	173	16	m.	m.	NOUN
ijassa-594	173	17	(	(	PUNCT
ijassa-594	173	18	2015	2015	NUM
ijassa-594	173	19	)	)	PUNCT
ijassa-594	173	20	.	.	PUNCT
ijassa-594	174	1	large	large	ADJ
ijassa-594	174	2	-	-	PUNCT
ijassa-594	174	3	scale	scale	NOUN
ijassa-594	174	4	agent	agent	NOUN
ijassa-594	174	5	-	-	PUNCT
ijassa-594	174	6	based	base	VERB
ijassa-594	174	7	modeling	modeling	NOUN
ijassa-594	174	8	with	with	ADP
ijassa-594	174	9	repast	repast	ADJ
ijassa-594	174	10	hpc	hpc	NOUN
ijassa-594	174	11	:	:	PUNCT
ijassa-594	174	12	a	a	DET
ijassa-594	174	13	case	case	NOUN
ijassa-594	174	14	study	study	NOUN
ijassa-594	174	15	in	in	ADP
ijassa-594	174	16	parallelizing	parallelize	VERB
ijassa-594	174	17	an	an	DET
ijassa-594	174	18	agent	agent	NOUN
ijassa-594	174	19	-	-	PUNCT
ijassa-594	174	20	based	base	VERB
ijassa-594	174	21	model	model	NOUN
ijassa-594	174	22	.	.	PUNCT
ijassa-594	175	1	european	european	ADJ
ijassa-594	175	2	conference	conference	PROPN
ijassa-594	175	3	on	on	ADP
ijassa-594	175	4	parallel	parallel	ADJ
ijassa-594	175	5	processing	processing	NOUN
ijassa-594	175	6	,	,	PUNCT
ijassa-594	175	7	pp	pp	ADJ
ijassa-594	175	8	.	.	PUNCT
ijassa-594	176	1	454	454	NUM
ijassa-594	176	2	-	-	SYM
ijassa-594	176	3	465	465	NUM
ijassa-594	176	4	[	[	NOUN
ijassa-594	176	5	8	8	NUM
ijassa-594	176	6	]	]	X
ijassa-594	176	7	salidol	salidol	NOUN
ijassa-594	176	8	,	,	PUNCT
ijassa-594	176	9	m.	m.	NOUN
ijassa-594	176	10	a.	a.	PROPN
ijassa-594	176	11	,	,	PUNCT
ijassa-594	176	12	abril	abril	PROPN
ijassa-594	176	13	,	,	PUNCT
ijassa-594	176	14	m.	m.	NOUN
ijassa-594	176	15	,	,	PUNCT
ijassa-594	176	16	barber	barber	PROPN
ijassa-594	176	17	,	,	PUNCT
ijassa-594	176	18	f.	f.	PROPN
ijassa-594	176	19	,	,	PUNCT
ijassa-594	176	20	ingolotti	ingolotti	PROPN
ijassa-594	176	21	,	,	PUNCT
ijassa-594	176	22	l.	l.	PROPN
ijassa-594	176	23	,	,	PUNCT
ijassa-594	176	24	tormos	tormos	PROPN
ijassa-594	176	25	,	,	PUNCT
ijassa-594	176	26	p.	p.	NOUN
ijassa-594	176	27	et	et	NOUN
ijassa-594	176	28	.	.	PUNCT
ijassa-594	177	1	al	al	PROPN
ijassa-594	177	2	.	.	PROPN
ijassa-594	177	3	(	(	PUNCT
ijassa-594	177	4	2006	2006	NUM
ijassa-594	177	5	)	)	PUNCT
ijassa-594	177	6	.	.	PUNCT
ijassa-594	178	1	domain	domain	NOUN
ijassa-594	178	2	dependent	dependent	ADJ
ijassa-594	178	3	distributed	distribute	VERB
ijassa-594	178	4	models	model	NOUN
ijassa-594	178	5	for	for	ADP
ijassa-594	178	6	railway	railway	NOUN
ijassa-594	178	7	scheduling	scheduling	NOUN
ijassa-594	178	8	.	.	PUNCT
ijassa-594	179	1	in	in	ADP
ijassa-594	179	2	international	international	ADJ
ijassa-594	179	3	conference	conference	NOUN
ijassa-594	179	4	on	on	ADP
ijassa-594	179	5	innovative	innovative	ADJ
ijassa-594	179	6	techniques	technique	NOUN
ijassa-594	179	7	and	and	CCONJ
ijassa-594	179	8	applications	application	NOUN
ijassa-594	179	9	of	of	ADP
ijassa-594	179	10	artificial	artificial	ADJ
ijassa-594	179	11	intelligence	intelligence	NOUN
ijassa-594	179	12	,	,	PUNCT
ijassa-594	179	13	pp	pp	ADP
ijassa-594	179	14	.	.	PUNCT
ijassa-594	180	1	163	163	NUM
ijassa-594	180	2	-	-	SYM
ijassa-594	180	3	176	176	NUM
ijassa-594	181	1	[	[	X
ijassa-594	181	2	9	9	NUM
ijassa-594	181	3	]	]	X
ijassa-594	181	4	bakhtizin	bakhtizin	PROPN
ijassa-594	181	5	a.r	a.r	PROPN
ijassa-594	181	6	.	.	PROPN
ijassa-594	181	7	et	et	PROPN
ijassa-594	181	8	al	al	PROPN
ijassa-594	181	9	.	.	PROPN
ijassa-594	182	1	(	(	PUNCT
ijassa-594	182	2	2017	2017	NUM
ijassa-594	182	3	)	)	PUNCT
ijassa-594	182	4	the	the	DET
ijassa-594	182	5	development	development	NOUN
ijassa-594	182	6	of	of	ADP
ijassa-594	182	7	the	the	DET
ijassa-594	182	8	agent	agent	NOUN
ijassa-594	182	9	-	-	PUNCT
ijassa-594	182	10	based	base	VERB
ijassa-594	182	11	demography	demography	NOUN
ijassa-594	182	12	and	and	CCONJ
ijassa-594	182	13	migration	migration	NOUN
ijassa-594	182	14	model	model	NOUN
ijassa-594	182	15	of	of	ADP
ijassa-594	182	16	eurasia	eurasia	PROPN
ijassa-594	182	17	and	and	CCONJ
ijassa-594	182	18	its	its	PRON
ijassa-594	182	19	supercomputer	supercomputer	NOUN
ijassa-594	182	20	implementation	implementation	NOUN
ijassa-594	182	21	.	.	PUNCT
ijassa-594	183	1	//	//	NOUN
ijassa-594	183	2	advances	advance	VERB
ijassa-594	183	3	in	in	ADP
ijassa-594	183	4	systems	system	NOUN
ijassa-594	183	5	science	science	NOUN
ijassa-594	183	6	and	and	CCONJ
ijassa-594	183	7	applications	application	NOUN
ijassa-594	183	8	,	,	PUNCT
ijassa-594	183	9	[	[	X
ijassa-594	183	10	s.l	s.l	PROPN
ijassa-594	183	11	.	.	NOUN
ijassa-594	183	12	]	]	X
ijassa-594	183	13	,	,	PUNCT
ijassa-594	183	14	v.	v.	ADP
ijassa-594	183	15	17	17	NUM
ijassa-594	183	16	,	,	PUNCT
ijassa-594	183	17	n.	n.	NOUN
ijassa-594	183	18	4	4	NUM
ijassa-594	183	19	,	,	PUNCT
ijassa-594	183	20	p.	p.	NOUN
ijassa-594	183	21	34	34	NUM
ijassa-594	183	22	-	-	SYM
ijassa-594	183	23	45	45	NUM
ijassa-594	184	1	[	[	X
ijassa-594	184	2	10	10	NUM
ijassa-594	184	3	]	]	SYM
ijassa-594	184	4	http://www.mono-project.com	http://www.mono-project.com	X
ijassa-594	185	1	[	[	X
ijassa-594	185	2	11	11	NUM
ijassa-594	185	3	]	]	PUNCT
ijassa-594	185	4	chevalier	chevalier	NOUN
ijassa-594	185	5	,	,	PUNCT
ijassa-594	185	6	c.	c.	PROPN
ijassa-594	185	7	&	&	CCONJ
ijassa-594	185	8	pellegrini	pellegrini	PROPN
ijassa-594	185	9	,	,	PUNCT
ijassa-594	185	10	f.	f.	PROPN
ijassa-594	185	11	(	(	PUNCT
ijassa-594	185	12	2008	2008	NUM
ijassa-594	185	13	)	)	PUNCT
ijassa-594	185	14	.	.	PUNCT
ijassa-594	186	1	pt	pt	X
ijassa-594	186	2	-	-	PUNCT
ijassa-594	186	3	scotch	scotch	NOUN
ijassa-594	186	4	:	:	PUNCT
ijassa-594	186	5	a	a	DET
ijassa-594	186	6	tool	tool	NOUN
ijassa-594	186	7	for	for	ADP
ijassa-594	186	8	efficient	efficient	ADJ
ijassa-594	186	9	parallel	parallel	ADJ
ijassa-594	186	10	graph	graph	NOUN
ijassa-594	186	11	ordering	ordering	NOUN
ijassa-594	186	12	.	.	PUNCT
ijassa-594	187	1	//	//	NUM
ijassa-594	187	2	parallel	parallel	ADJ
ijassa-594	187	3	computing	computing	NOUN
ijassa-594	187	4	.	.	PUNCT
ijassa-594	188	1	34	34	NUM
ijassa-594	188	2	(	(	PUNCT
ijassa-594	188	3	6	6	NUM
ijassa-594	188	4	):	):	PUNCT
ijassa-594	188	5	318–331	318–331	NUM
ijassa-594	188	6	.	.	PUNCT
ijassa-594	189	1	doi:10.1016	doi:10.1016	PROPN
ijassa-594	189	2	/	/	SYM
ijassa-594	189	3	j.parco.2007.12.001	j.parco.2007.12.001	PROPN
ijassa-594	190	1	[	[	X
ijassa-594	190	2	12	12	NUM
ijassa-594	190	3	]	]	PUNCT
ijassa-594	190	4	walshaw	walshaw	PROPN
ijassa-594	190	5	,	,	PUNCT
ijassa-594	190	6	c.	c.	PROPN
ijassa-594	190	7	&	&	CCONJ
ijassa-594	190	8	cross	cross	PROPN
ijassa-594	190	9	,	,	PUNCT
ijassa-594	190	10	m.	m.	NOUN
ijassa-594	190	11	(	(	PUNCT
ijassa-594	190	12	2000	2000	NUM
ijassa-594	190	13	)	)	PUNCT
ijassa-594	190	14	.	.	PUNCT
ijassa-594	191	1	mesh	mesh	NOUN
ijassa-594	191	2	partitioning	partitioning	NOUN
ijassa-594	191	3	:	:	PUNCT
ijassa-594	191	4	a	a	DET
ijassa-594	191	5	multilevel	multilevel	NOUN
ijassa-594	191	6	balancing	balancing	NOUN
ijassa-594	191	7	and	and	CCONJ
ijassa-594	191	8	refinement	refinement	NOUN
ijassa-594	191	9	algorithm	algorithm	NOUN
ijassa-594	191	10	.	.	PUNCT
ijassa-594	192	1	//	//	PROPN
ijassa-594	192	2	journal	journal	PROPN
ijassa-594	192	3	on	on	ADP
ijassa-594	192	4	scientific	scientific	ADJ
ijassa-594	192	5	computing	computing	NOUN
ijassa-594	192	6	.	.	PUNCT
ijassa-594	193	1	22	22	NUM
ijassa-594	193	2	(	(	PUNCT
ijassa-594	193	3	1	1	NUM
ijassa-594	193	4	):	):	PUNCT
ijassa-594	193	5	63	63	NUM
ijassa-594	193	6	–	–	SYM
ijassa-594	193	7	80	80	NUM
ijassa-594	193	8	.	.	PUNCT
ijassa-594	194	1	doi:10.1137	doi:10.1137	NOUN
ijassa-594	194	2	/	/	SYM
ijassa-594	194	3	s1064827598337373	s1064827598337373	PROPN
ijassa-594	194	4	.	.	PUNCT
ijassa-594	195	1	[	[	X
ijassa-594	195	2	13	13	NUM
ijassa-594	195	3	]	]	PUNCT
ijassa-594	195	4	tinney	tinney	PROPN
ijassa-594	195	5	w.	w.	PROPN
ijassa-594	195	6	&	&	CCONJ
ijassa-594	195	7	walker	walker	PROPN
ijassa-594	195	8	j.	j.	PROPN
ijassa-594	195	9	(	(	PUNCT
ijassa-594	195	10	1967	1967	NUM
ijassa-594	195	11	)	)	PUNCT
ijassa-594	195	12	direct	direct	ADJ
ijassa-594	195	13	solutions	solution	NOUN
ijassa-594	195	14	of	of	ADP
ijassa-594	195	15	sparse	sparse	ADJ
ijassa-594	195	16	network	network	NOUN
ijassa-594	195	17	equations	equation	NOUN
ijassa-594	195	18	by	by	ADP
ijassa-594	195	19	optimally	optimally	ADV
ijassa-594	195	20	ordered	order	VERB
ijassa-594	195	21	triangular	triangular	NOUN
ijassa-594	195	22	factorization	factorization	NOUN
ijassa-594	195	23	.	.	PUNCT
ijassa-594	196	1	//	//	NUM
ijassa-594	196	2	proceedings	proceeding	NOUN
ijassa-594	196	3	of	of	ADP
ijassa-594	196	4	the	the	DET
ijassa-594	196	5	ieee	ieee	NOUN
ijassa-594	196	6	,	,	PUNCT
ijassa-594	196	7	55(11):1801–1809	55(11):1801–1809	NUM
ijassa-594	196	8	https://en.wikipedia.org/wiki/axum_(programming_language	https://en.wikipedia.org/wiki/axum_(programming_language	NOUN
ijassa-594	196	9	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modelling-framework	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modelling-framework	NOUN
ijassa-594	196	10	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modelling-framework	https://www.bsc.es/computer-applications/pandora-hpc-agent-based-modelling-framework	NOUN
ijassa-594	196	11	http://www.mono-project.com/	http://www.mono-project.com/	PROPN
ijassa-594	196	12	https://en.wikipedia.org/wiki/digital_object_identifier	https://en.wikipedia.org/wiki/digital_object_identifier	PROPN
ijassa-594	196	13	https://doi.org/10.1137%2fs1064827598337373	https://doi.org/10.1137%2fs1064827598337373	PROPN