id	sid	tid	token	lemma	pos
fcis-15077	1	1	frontiers	frontier	NOUN
fcis-15077	1	2	in	in	ADP
fcis-15077	1	3	computing	computing	NOUN
fcis-15077	1	4	and	and	CCONJ
fcis-15077	1	5	intelligent	intelligent	ADJ
fcis-15077	1	6	systems	system	NOUN
fcis-15077	1	7	issn	issn	VERB
fcis-15077	1	8	:	:	PUNCT
fcis-15077	1	9	2832	2832	NUM
fcis-15077	1	10	-	-	SYM
fcis-15077	1	11	6024	6024	NUM
fcis-15077	1	12	|	|	NOUN
fcis-15077	1	13	vol	vol	NOUN
fcis-15077	1	14	.	.	PROPN
fcis-15077	2	1	6	6	NUM
fcis-15077	2	2	,	,	PUNCT
fcis-15077	2	3	no	no	INTJ
fcis-15077	2	4	.	.	NOUN
fcis-15077	2	5	2	2	NUM
fcis-15077	2	6	,	,	PUNCT
fcis-15077	2	7	2023	2023	NUM
fcis-15077	2	8	11	11	NUM
fcis-15077	2	9	hardware	hardware	NOUN
fcis-15077	2	10	accelerated	accelerate	VERB
fcis-15077	2	11	optimization	optimization	NOUN
fcis-15077	2	12	of	of	ADP
fcis-15077	2	13	deep	deep	ADJ
fcis-15077	2	14	learning	learning	NOUN
fcis-15077	2	15	model	model	NOUN
fcis-15077	2	16	on	on	ADP
fcis-15077	2	17	artificial	artificial	ADJ
fcis-15077	2	18	intelligence	intelligence	NOUN
fcis-15077	2	19	chip	chip	NOUN
fcis-15077	2	20	zhimei	zhimei	PROPN
fcis-15077	2	21	chen	chen	PROPN
fcis-15077	2	22	university	university	PROPN
fcis-15077	2	23	of	of	ADP
fcis-15077	2	24	california	california	PROPN
fcis-15077	2	25	,	,	PUNCT
fcis-15077	2	26	santa	santa	PROPN
fcis-15077	2	27	barbara	barbara	PROPN
fcis-15077	2	28	,	,	PUNCT
fcis-15077	2	29	usa	usa	PROPN
fcis-15077	2	30	abstract	abstract	PROPN
fcis-15077	2	31	:	:	PUNCT
fcis-15077	2	32	with	with	ADP
fcis-15077	2	33	the	the	DET
fcis-15077	2	34	rapid	rapid	ADJ
fcis-15077	2	35	development	development	NOUN
fcis-15077	2	36	of	of	ADP
fcis-15077	2	37	deep	deep	ADJ
fcis-15077	2	38	learning	learning	NOUN
fcis-15077	2	39	technology	technology	NOUN
fcis-15077	2	40	,	,	PUNCT
fcis-15077	2	41	the	the	DET
fcis-15077	2	42	demand	demand	NOUN
fcis-15077	2	43	for	for	ADP
fcis-15077	2	44	computing	compute	VERB
fcis-15077	2	45	resources	resource	NOUN
fcis-15077	2	46	is	be	AUX
fcis-15077	2	47	increasing	increase	VERB
fcis-15077	2	48	,	,	PUNCT
fcis-15077	2	49	and	and	CCONJ
fcis-15077	2	50	the	the	DET
fcis-15077	2	51	accelerated	accelerate	VERB
fcis-15077	2	52	optimization	optimization	NOUN
fcis-15077	2	53	of	of	ADP
fcis-15077	2	54	hardware	hardware	NOUN
fcis-15077	2	55	on	on	ADP
fcis-15077	2	56	artificial	artificial	ADJ
fcis-15077	2	57	intelligence	intelligence	NOUN
fcis-15077	2	58	(	(	PUNCT
fcis-15077	2	59	ai	ai	NOUN
fcis-15077	2	60	)	)	PUNCT
fcis-15077	2	61	chip	chip	NOUN
fcis-15077	2	62	has	have	AUX
fcis-15077	2	63	become	become	VERB
fcis-15077	2	64	one	one	NUM
fcis-15077	2	65	of	of	ADP
fcis-15077	2	66	the	the	DET
fcis-15077	2	67	key	key	ADJ
fcis-15077	2	68	ways	way	NOUN
fcis-15077	2	69	to	to	PART
fcis-15077	2	70	solve	solve	VERB
fcis-15077	2	71	this	this	DET
fcis-15077	2	72	challenge	challenge	NOUN
fcis-15077	2	73	.	.	PUNCT
fcis-15077	3	1	this	this	DET
fcis-15077	3	2	paper	paper	NOUN
fcis-15077	3	3	aims	aim	VERB
fcis-15077	3	4	to	to	PART
fcis-15077	3	5	explore	explore	VERB
fcis-15077	3	6	the	the	DET
fcis-15077	3	7	hardware	hardware	NOUN
fcis-15077	3	8	acceleration	acceleration	NOUN
fcis-15077	3	9	optimization	optimization	NOUN
fcis-15077	3	10	strategy	strategy	NOUN
fcis-15077	3	11	of	of	ADP
fcis-15077	3	12	deep	deep	ADJ
fcis-15077	3	13	learning	learning	NOUN
fcis-15077	3	14	model	model	NOUN
fcis-15077	3	15	on	on	ADP
fcis-15077	3	16	ai	ai	PRON
fcis-15077	3	17	chip	chip	NOUN
fcis-15077	3	18	to	to	PART
fcis-15077	3	19	improve	improve	VERB
fcis-15077	3	20	the	the	DET
fcis-15077	3	21	training	training	NOUN
fcis-15077	3	22	and	and	CCONJ
fcis-15077	3	23	inference	inference	NOUN
fcis-15077	3	24	performance	performance	NOUN
fcis-15077	3	25	of	of	ADP
fcis-15077	3	26	the	the	DET
fcis-15077	3	27	model	model	NOUN
fcis-15077	3	28	.	.	PUNCT
fcis-15077	4	1	in	in	ADP
fcis-15077	4	2	this	this	DET
fcis-15077	4	3	paper	paper	NOUN
fcis-15077	4	4	,	,	PUNCT
fcis-15077	4	5	the	the	DET
fcis-15077	4	6	method	method	NOUN
fcis-15077	4	7	and	and	CCONJ
fcis-15077	4	8	practice	practice	NOUN
fcis-15077	4	9	of	of	ADP
fcis-15077	4	10	optimizing	optimize	VERB
fcis-15077	4	11	deep	deep	ADJ
fcis-15077	4	12	learning	learning	NOUN
fcis-15077	4	13	model	model	NOUN
fcis-15077	4	14	on	on	ADP
fcis-15077	4	15	ai	ai	PRON
fcis-15077	4	16	chip	chip	NOUN
fcis-15077	4	17	are	be	AUX
fcis-15077	4	18	deeply	deeply	ADV
fcis-15077	4	19	analyzed	analyze	VERB
fcis-15077	4	20	by	by	ADP
fcis-15077	4	21	comprehensively	comprehensively	ADV
fcis-15077	4	22	considering	consider	VERB
fcis-15077	4	23	the	the	DET
fcis-15077	4	24	hardware	hardware	NOUN
fcis-15077	4	25	characteristics	characteristic	NOUN
fcis-15077	4	26	such	such	ADJ
fcis-15077	4	27	as	as	ADP
fcis-15077	4	28	parallel	parallel	ADJ
fcis-15077	4	29	processing	processing	NOUN
fcis-15077	4	30	ability	ability	NOUN
fcis-15077	4	31	,	,	PUNCT
fcis-15077	4	32	energy	energy	NOUN
fcis-15077	4	33	-	-	PUNCT
fcis-15077	4	34	efficient	efficient	ADJ
fcis-15077	4	35	computing	computing	NOUN
fcis-15077	4	36	,	,	PUNCT
fcis-15077	4	37	neural	neural	ADJ
fcis-15077	4	38	network	network	NOUN
fcis-15077	4	39	accelerator	accelerator	NOUN
fcis-15077	4	40	,	,	PUNCT
fcis-15077	4	41	flexibility	flexibility	NOUN
fcis-15077	4	42	and	and	CCONJ
fcis-15077	4	43	programmability	programmability	NOUN
fcis-15077	4	44	,	,	PUNCT
fcis-15077	4	45	high	high	ADJ
fcis-15077	4	46	integration	integration	NOUN
fcis-15077	4	47	and	and	CCONJ
fcis-15077	4	48	heterogeneous	heterogeneous	ADJ
fcis-15077	4	49	computing	computing	NOUN
fcis-15077	4	50	structure	structure	NOUN
fcis-15077	4	51	.	.	PUNCT
fcis-15077	5	1	by	by	ADP
fcis-15077	5	2	designing	design	VERB
fcis-15077	5	3	and	and	CCONJ
fcis-15077	5	4	implementing	implement	VERB
fcis-15077	5	5	an	an	DET
fcis-15077	5	6	efficient	efficient	ADJ
fcis-15077	5	7	convolution	convolution	NOUN
fcis-15077	5	8	accelerator	accelerator	NOUN
fcis-15077	5	9	,	,	PUNCT
fcis-15077	5	10	the	the	DET
fcis-15077	5	11	computational	computational	ADJ
fcis-15077	5	12	efficiency	efficiency	NOUN
fcis-15077	5	13	of	of	ADP
fcis-15077	5	14	the	the	DET
fcis-15077	5	15	model	model	NOUN
fcis-15077	5	16	is	be	AUX
fcis-15077	5	17	improved	improve	VERB
fcis-15077	5	18	.	.	PUNCT
fcis-15077	6	1	the	the	DET
fcis-15077	6	2	introduction	introduction	NOUN
fcis-15077	6	3	of	of	ADP
fcis-15077	6	4	energy	energy	NOUN
fcis-15077	6	5	-	-	PUNCT
fcis-15077	6	6	efficient	efficient	ADJ
fcis-15077	6	7	computing	computing	NOUN
fcis-15077	6	8	effectively	effectively	ADV
fcis-15077	6	9	reduces	reduce	VERB
fcis-15077	6	10	energy	energy	NOUN
fcis-15077	6	11	consumption	consumption	NOUN
fcis-15077	6	12	,	,	PUNCT
fcis-15077	6	13	which	which	PRON
fcis-15077	6	14	provides	provide	VERB
fcis-15077	6	15	feasibility	feasibility	NOUN
fcis-15077	6	16	for	for	ADP
fcis-15077	6	17	the	the	DET
fcis-15077	6	18	practical	practical	ADJ
fcis-15077	6	19	application	application	NOUN
fcis-15077	6	20	of	of	ADP
fcis-15077	6	21	mobile	mobile	ADJ
fcis-15077	6	22	devices	device	NOUN
fcis-15077	6	23	and	and	CCONJ
fcis-15077	6	24	embedded	embed	VERB
fcis-15077	6	25	systems	system	NOUN
fcis-15077	6	26	.	.	PUNCT
fcis-15077	7	1	at	at	ADP
fcis-15077	7	2	the	the	DET
fcis-15077	7	3	same	same	ADJ
fcis-15077	7	4	time	time	NOUN
fcis-15077	7	5	,	,	PUNCT
fcis-15077	7	6	the	the	DET
fcis-15077	7	7	optimization	optimization	NOUN
fcis-15077	7	8	design	design	NOUN
fcis-15077	7	9	of	of	ADP
fcis-15077	7	10	neural	neural	ADJ
fcis-15077	7	11	network	network	NOUN
fcis-15077	7	12	accelerator	accelerator	NOUN
fcis-15077	7	13	becomes	become	VERB
fcis-15077	7	14	the	the	DET
fcis-15077	7	15	core	core	NOUN
fcis-15077	7	16	of	of	ADP
fcis-15077	7	17	hardware	hardware	NOUN
fcis-15077	7	18	acceleration	acceleration	NOUN
fcis-15077	7	19	,	,	PUNCT
fcis-15077	7	20	and	and	CCONJ
fcis-15077	7	21	deep	deep	ADJ
fcis-15077	7	22	learning	learning	NOUN
fcis-15077	7	23	calculation	calculation	NOUN
fcis-15077	7	24	such	such	ADJ
fcis-15077	7	25	as	as	ADP
fcis-15077	7	26	convolution	convolution	NOUN
fcis-15077	7	27	and	and	CCONJ
fcis-15077	7	28	matrix	matrix	NOUN
fcis-15077	7	29	operation	operation	NOUN
fcis-15077	7	30	are	be	AUX
fcis-15077	7	31	accelerated	accelerate	VERB
fcis-15077	7	32	through	through	ADP
fcis-15077	7	33	special	special	ADJ
fcis-15077	7	34	hardware	hardware	NOUN
fcis-15077	7	35	structure	structure	NOUN
fcis-15077	7	36	,	,	PUNCT
fcis-15077	7	37	which	which	PRON
fcis-15077	7	38	provides	provide	VERB
fcis-15077	7	39	strong	strong	ADJ
fcis-15077	7	40	support	support	NOUN
fcis-15077	7	41	for	for	ADP
fcis-15077	7	42	the	the	DET
fcis-15077	7	43	real	real	ADJ
fcis-15077	7	44	-	-	PUNCT
fcis-15077	7	45	time	time	NOUN
fcis-15077	7	46	performance	performance	NOUN
fcis-15077	7	47	of	of	ADP
fcis-15077	7	48	the	the	DET
fcis-15077	7	49	model	model	NOUN
fcis-15077	7	50	.	.	PUNCT
fcis-15077	8	1	by	by	ADP
fcis-15077	8	2	analyzing	analyze	VERB
fcis-15077	8	3	the	the	DET
fcis-15077	8	4	actual	actual	ADJ
fcis-15077	8	5	application	application	NOUN
fcis-15077	8	6	cases	case	NOUN
fcis-15077	8	7	of	of	ADP
fcis-15077	8	8	hardware	hardware	NOUN
fcis-15077	8	9	accelerated	accelerate	VERB
fcis-15077	8	10	optimization	optimization	NOUN
fcis-15077	8	11	in	in	ADP
fcis-15077	8	12	different	different	ADJ
fcis-15077	8	13	application	application	NOUN
fcis-15077	8	14	scenarios	scenario	NOUN
fcis-15077	8	15	,	,	PUNCT
fcis-15077	8	16	this	this	DET
fcis-15077	8	17	paper	paper	NOUN
fcis-15077	8	18	highlights	highlight	VERB
fcis-15077	8	19	the	the	DET
fcis-15077	8	20	key	key	ADJ
fcis-15077	8	21	role	role	NOUN
fcis-15077	8	22	of	of	ADP
fcis-15077	8	23	hardware	hardware	NOUN
fcis-15077	8	24	accelerated	accelerate	VERB
fcis-15077	8	25	optimization	optimization	NOUN
fcis-15077	8	26	in	in	ADP
fcis-15077	8	27	improving	improve	VERB
fcis-15077	8	28	the	the	DET
fcis-15077	8	29	performance	performance	NOUN
fcis-15077	8	30	of	of	ADP
fcis-15077	8	31	deep	deep	ADJ
fcis-15077	8	32	learning	learning	NOUN
fcis-15077	8	33	model	model	NOUN
fcis-15077	8	34	.	.	PUNCT
fcis-15077	9	1	hardware	hardware	NOUN
fcis-15077	9	2	accelerated	accelerate	VERB
fcis-15077	9	3	optimization	optimization	NOUN
fcis-15077	9	4	not	not	PART
fcis-15077	9	5	only	only	ADV
fcis-15077	9	6	improves	improve	VERB
fcis-15077	9	7	the	the	DET
fcis-15077	9	8	computing	computing	NOUN
fcis-15077	9	9	efficiency	efficiency	NOUN
fcis-15077	9	10	,	,	PUNCT
fcis-15077	9	11	but	but	CCONJ
fcis-15077	9	12	also	also	ADV
fcis-15077	9	13	provides	provide	VERB
fcis-15077	9	14	efficient	efficient	ADJ
fcis-15077	9	15	and	and	CCONJ
fcis-15077	9	16	intelligent	intelligent	ADJ
fcis-15077	9	17	computing	computing	NOUN
fcis-15077	9	18	support	support	NOUN
fcis-15077	9	19	for	for	ADP
fcis-15077	9	20	ai	ai	PROPN
fcis-15077	9	21	applications	application	NOUN
fcis-15077	9	22	in	in	ADP
fcis-15077	9	23	different	different	ADJ
fcis-15077	9	24	fields	field	NOUN
fcis-15077	9	25	.	.	PUNCT
fcis-15077	10	1	keywords	keyword	NOUN
fcis-15077	10	2	:	:	PUNCT
fcis-15077	10	3	artificial	artificial	ADJ
fcis-15077	10	4	intelligence	intelligence	NOUN
fcis-15077	10	5	chip	chip	NOUN
fcis-15077	10	6	;	;	PUNCT
fcis-15077	10	7	hardware	hardware	NOUN
fcis-15077	10	8	accelerated	accelerate	VERB
fcis-15077	10	9	;	;	PUNCT
fcis-15077	10	10	deep	deep	ADJ
fcis-15077	10	11	learning	learning	NOUN
fcis-15077	10	12	.	.	PUNCT
fcis-15077	11	1	1	1	X
fcis-15077	11	2	.	.	X
fcis-15077	11	3	introduction	introduction	NOUN
fcis-15077	11	4	in	in	ADP
fcis-15077	11	5	recent	recent	ADJ
fcis-15077	11	6	years	year	NOUN
fcis-15077	11	7	,	,	PUNCT
fcis-15077	11	8	with	with	ADP
fcis-15077	11	9	the	the	DET
fcis-15077	11	10	rapid	rapid	ADJ
fcis-15077	11	11	development	development	NOUN
fcis-15077	11	12	of	of	ADP
fcis-15077	11	13	artificial	artificial	ADJ
fcis-15077	11	14	intelligence	intelligence	NOUN
fcis-15077	11	15	(	(	PUNCT
fcis-15077	11	16	ai	ai	NOUN
fcis-15077	11	17	)	)	PUNCT
fcis-15077	11	18	technology	technology	NOUN
fcis-15077	11	19	,	,	PUNCT
fcis-15077	11	20	deep	deep	ADJ
fcis-15077	11	21	learning	learning	NOUN
fcis-15077	11	22	model	model	NOUN
fcis-15077	11	23	has	have	AUX
fcis-15077	11	24	become	become	VERB
fcis-15077	11	25	the	the	DET
fcis-15077	11	26	key	key	ADJ
fcis-15077	11	27	driving	driving	NOUN
fcis-15077	11	28	force	force	NOUN
fcis-15077	11	29	for	for	ADP
fcis-15077	11	30	breakthroughs	breakthrough	NOUN
fcis-15077	11	31	in	in	ADP
fcis-15077	11	32	many	many	ADJ
fcis-15077	11	33	application	application	NOUN
fcis-15077	11	34	fields	field	NOUN
fcis-15077	11	35	.	.	PUNCT
fcis-15077	12	1	however	however	ADV
fcis-15077	12	2	,	,	PUNCT
fcis-15077	12	3	with	with	ADP
fcis-15077	12	4	the	the	DET
fcis-15077	12	5	increasing	increase	VERB
fcis-15077	12	6	complexity	complexity	NOUN
fcis-15077	12	7	and	and	CCONJ
fcis-15077	12	8	scale	scale	NOUN
fcis-15077	12	9	of	of	ADP
fcis-15077	12	10	the	the	DET
fcis-15077	12	11	deep	deep	ADJ
fcis-15077	12	12	learning	learning	NOUN
fcis-15077	12	13	model	model	NOUN
fcis-15077	12	14	,	,	PUNCT
fcis-15077	12	15	the	the	DET
fcis-15077	12	16	demand	demand	NOUN
fcis-15077	12	17	for	for	ADP
fcis-15077	12	18	computing	compute	VERB
fcis-15077	12	19	resources	resource	NOUN
fcis-15077	12	20	has	have	AUX
fcis-15077	12	21	also	also	ADV
fcis-15077	12	22	increased	increase	VERB
fcis-15077	12	23	exponentially	exponentially	ADV
fcis-15077	12	24	.	.	PUNCT
fcis-15077	13	1	in	in	ADP
fcis-15077	13	2	order	order	NOUN
fcis-15077	13	3	to	to	PART
fcis-15077	13	4	meet	meet	VERB
fcis-15077	13	5	this	this	DET
fcis-15077	13	6	demand	demand	NOUN
fcis-15077	13	7	,	,	PUNCT
fcis-15077	13	8	researchers	researcher	NOUN
fcis-15077	13	9	have	have	AUX
fcis-15077	13	10	turned	turn	VERB
fcis-15077	13	11	their	their	PRON
fcis-15077	13	12	attention	attention	NOUN
fcis-15077	13	13	to	to	ADP
fcis-15077	13	14	hardware	hardware	NOUN
fcis-15077	13	15	acceleration	acceleration	NOUN
fcis-15077	13	16	technology	technology	NOUN
fcis-15077	13	17	,	,	PUNCT
fcis-15077	13	18	among	among	ADP
fcis-15077	13	19	which	which	PRON
fcis-15077	13	20	ai	ai	VERB
fcis-15077	13	21	chip	chip	NOUN
fcis-15077	13	22	has	have	AUX
fcis-15077	13	23	attracted	attract	VERB
fcis-15077	13	24	much	much	ADJ
fcis-15077	13	25	attention	attention	NOUN
fcis-15077	13	26	as	as	ADP
fcis-15077	13	27	an	an	DET
fcis-15077	13	28	important	important	ADJ
fcis-15077	13	29	hardware	hardware	NOUN
fcis-15077	13	30	implementation	implementation	NOUN
fcis-15077	13	31	method	method	NOUN
fcis-15077	13	32	.	.	PUNCT
fcis-15077	14	1	the	the	DET
fcis-15077	14	2	rise	rise	NOUN
fcis-15077	14	3	of	of	ADP
fcis-15077	14	4	ai	ai	ADJ
fcis-15077	14	5	chip	chip	NOUN
fcis-15077	14	6	indicates	indicate	VERB
fcis-15077	14	7	that	that	SCONJ
fcis-15077	14	8	hardware	hardware	NOUN
fcis-15077	14	9	design	design	NOUN
fcis-15077	14	10	is	be	AUX
fcis-15077	14	11	moving	move	VERB
fcis-15077	14	12	towards	towards	ADP
fcis-15077	14	13	a	a	DET
fcis-15077	14	14	more	more	ADV
fcis-15077	14	15	specialized	specialized	ADJ
fcis-15077	14	16	and	and	CCONJ
fcis-15077	14	17	efficient	efficient	ADJ
fcis-15077	14	18	direction	direction	NOUN
fcis-15077	14	19	.	.	PUNCT
fcis-15077	15	1	compared	compare	VERB
fcis-15077	15	2	with	with	ADP
fcis-15077	15	3	the	the	DET
fcis-15077	15	4	traditional	traditional	ADJ
fcis-15077	15	5	general	general	ADJ
fcis-15077	15	6	-	-	PUNCT
fcis-15077	15	7	purpose	purpose	NOUN
fcis-15077	15	8	processor	processor	NOUN
fcis-15077	15	9	,	,	PUNCT
fcis-15077	15	10	ai	ai	AUX
fcis-15077	15	11	chip	chip	NOUN
fcis-15077	15	12	can	can	AUX
fcis-15077	15	13	provide	provide	VERB
fcis-15077	15	14	higher	high	ADJ
fcis-15077	15	15	energy	energy	NOUN
fcis-15077	15	16	efficiency	efficiency	NOUN
fcis-15077	15	17	ratio	ratio	NOUN
fcis-15077	15	18	and	and	CCONJ
fcis-15077	15	19	computing	computing	NOUN
fcis-15077	15	20	performance	performance	NOUN
fcis-15077	15	21	,	,	PUNCT
fcis-15077	15	22	so	so	SCONJ
fcis-15077	15	23	that	that	SCONJ
fcis-15077	15	24	the	the	DET
fcis-15077	15	25	deep	deep	ADJ
fcis-15077	15	26	learning	learning	NOUN
fcis-15077	15	27	model	model	NOUN
fcis-15077	15	28	can	can	AUX
fcis-15077	15	29	complete	complete	VERB
fcis-15077	15	30	the	the	DET
fcis-15077	15	31	training	training	NOUN
fcis-15077	15	32	and	and	CCONJ
fcis-15077	15	33	inference	inference	NOUN
fcis-15077	15	34	tasks	task	NOUN
fcis-15077	15	35	in	in	ADP
fcis-15077	15	36	a	a	DET
fcis-15077	15	37	shorter	short	ADJ
fcis-15077	15	38	time	time	NOUN
fcis-15077	15	39	[	[	X
fcis-15077	15	40	1	1	NUM
fcis-15077	15	41	]	]	PUNCT
fcis-15077	15	42	.	.	PUNCT
fcis-15077	16	1	in	in	ADP
fcis-15077	16	2	the	the	DET
fcis-15077	16	3	research	research	NOUN
fcis-15077	16	4	of	of	ADP
fcis-15077	16	5	hardware	hardware	NOUN
fcis-15077	16	6	accelerated	accelerate	VERB
fcis-15077	16	7	optimization	optimization	NOUN
fcis-15077	16	8	of	of	ADP
fcis-15077	16	9	deep	deep	ADJ
fcis-15077	16	10	learning	learning	NOUN
fcis-15077	16	11	model	model	NOUN
fcis-15077	16	12	,	,	PUNCT
fcis-15077	16	13	a	a	DET
fcis-15077	16	14	problem	problem	NOUN
fcis-15077	16	15	that	that	PRON
fcis-15077	16	16	can	can	AUX
fcis-15077	16	17	not	not	PART
fcis-15077	16	18	be	be	AUX
fcis-15077	16	19	ignored	ignore	VERB
fcis-15077	16	20	is	be	AUX
fcis-15077	16	21	how	how	SCONJ
fcis-15077	16	22	to	to	PART
fcis-15077	16	23	better	well	ADV
fcis-15077	16	24	balance	balance	VERB
fcis-15077	16	25	the	the	DET
fcis-15077	16	26	requirements	requirement	NOUN
fcis-15077	16	27	of	of	ADP
fcis-15077	16	28	computing	computing	NOUN
fcis-15077	16	29	and	and	CCONJ
fcis-15077	16	30	storage	storage	NOUN
fcis-15077	16	31	.	.	PUNCT
fcis-15077	17	1	the	the	DET
fcis-15077	17	2	training	training	NOUN
fcis-15077	17	3	and	and	CCONJ
fcis-15077	17	4	inference	inference	NOUN
fcis-15077	17	5	process	process	NOUN
fcis-15077	17	6	of	of	ADP
fcis-15077	17	7	deep	deep	ADJ
fcis-15077	17	8	learning	learning	NOUN
fcis-15077	17	9	model	model	NOUN
fcis-15077	17	10	need	need	VERB
fcis-15077	17	11	a	a	DET
fcis-15077	17	12	lot	lot	NOUN
fcis-15077	17	13	of	of	ADP
fcis-15077	17	14	parameters	parameter	NOUN
fcis-15077	17	15	and	and	CCONJ
fcis-15077	17	16	intermediate	intermediate	ADJ
fcis-15077	17	17	data	datum	NOUN
fcis-15077	17	18	,	,	PUNCT
fcis-15077	17	19	so	so	CCONJ
fcis-15077	17	20	the	the	DET
fcis-15077	17	21	efficient	efficient	ADJ
fcis-15077	17	22	use	use	NOUN
fcis-15077	17	23	of	of	ADP
fcis-15077	17	24	storage	storage	NOUN
fcis-15077	17	25	system	system	NOUN
fcis-15077	17	26	becomes	become	VERB
fcis-15077	17	27	a	a	DET
fcis-15077	17	28	key	key	ADJ
fcis-15077	17	29	aspect	aspect	NOUN
fcis-15077	17	30	to	to	PART
fcis-15077	17	31	improve	improve	VERB
fcis-15077	17	32	performance	performance	NOUN
fcis-15077	17	33	.	.	PUNCT
fcis-15077	18	1	the	the	DET
fcis-15077	18	2	focus	focus	NOUN
fcis-15077	18	3	of	of	ADP
fcis-15077	18	4	this	this	DET
fcis-15077	18	5	paper	paper	NOUN
fcis-15077	18	6	is	be	AUX
fcis-15077	18	7	on	on	ADP
fcis-15077	18	8	the	the	DET
fcis-15077	18	9	hardware	hardware	NOUN
fcis-15077	18	10	acceleration	acceleration	NOUN
fcis-15077	18	11	optimization	optimization	NOUN
fcis-15077	18	12	of	of	ADP
fcis-15077	18	13	deep	deep	ADJ
fcis-15077	18	14	learning	learning	NOUN
fcis-15077	18	15	model	model	NOUN
fcis-15077	18	16	on	on	ADP
fcis-15077	18	17	ai	ai	PROPN
fcis-15077	18	18	chip	chip	NOUN
fcis-15077	18	19	,	,	PUNCT
fcis-15077	18	20	aiming	aim	VERB
fcis-15077	18	21	at	at	ADP
fcis-15077	18	22	deeply	deeply	ADV
fcis-15077	18	23	discussing	discuss	VERB
fcis-15077	18	24	how	how	SCONJ
fcis-15077	18	25	to	to	PART
fcis-15077	18	26	achieve	achieve	VERB
fcis-15077	18	27	efficient	efficient	ADJ
fcis-15077	18	28	processing	processing	NOUN
fcis-15077	18	29	of	of	ADP
fcis-15077	18	30	deep	deep	ADJ
fcis-15077	18	31	learning	learning	NOUN
fcis-15077	18	32	tasks	task	NOUN
fcis-15077	18	33	through	through	ADP
fcis-15077	18	34	clever	clever	ADJ
fcis-15077	18	35	design	design	NOUN
fcis-15077	18	36	and	and	CCONJ
fcis-15077	18	37	optimization	optimization	NOUN
fcis-15077	18	38	of	of	ADP
fcis-15077	18	39	hardware	hardware	NOUN
fcis-15077	18	40	structure	structure	NOUN
fcis-15077	18	41	.	.	PUNCT
fcis-15077	19	1	through	through	ADP
fcis-15077	19	2	in	in	ADP
fcis-15077	19	3	-	-	PUNCT
fcis-15077	19	4	depth	depth	NOUN
fcis-15077	19	5	study	study	NOUN
fcis-15077	19	6	of	of	ADP
fcis-15077	19	7	hardware	hardware	NOUN
fcis-15077	19	8	acceleration	acceleration	NOUN
fcis-15077	19	9	technology	technology	NOUN
fcis-15077	19	10	,	,	PUNCT
fcis-15077	19	11	this	this	DET
fcis-15077	19	12	study	study	NOUN
fcis-15077	19	13	is	be	AUX
fcis-15077	19	14	expected	expect	VERB
fcis-15077	19	15	to	to	PART
fcis-15077	19	16	provide	provide	VERB
fcis-15077	19	17	strong	strong	ADJ
fcis-15077	19	18	guidance	guidance	NOUN
fcis-15077	19	19	for	for	ADP
fcis-15077	19	20	the	the	DET
fcis-15077	19	21	design	design	NOUN
fcis-15077	19	22	and	and	CCONJ
fcis-15077	19	23	development	development	NOUN
fcis-15077	19	24	of	of	ADP
fcis-15077	19	25	ai	ai	ADJ
fcis-15077	19	26	chips	chip	NOUN
fcis-15077	19	27	in	in	ADP
fcis-15077	19	28	the	the	DET
fcis-15077	19	29	future	future	NOUN
fcis-15077	19	30	and	and	CCONJ
fcis-15077	19	31	promote	promote	VERB
fcis-15077	19	32	the	the	DET
fcis-15077	19	33	wide	wide	ADJ
fcis-15077	19	34	application	application	NOUN
fcis-15077	19	35	of	of	ADP
fcis-15077	19	36	deep	deep	ADJ
fcis-15077	19	37	learning	learning	NOUN
fcis-15077	19	38	technology	technology	NOUN
fcis-15077	19	39	in	in	ADP
fcis-15077	19	40	various	various	ADJ
fcis-15077	19	41	fields	field	NOUN
fcis-15077	19	42	.	.	PUNCT
fcis-15077	20	1	the	the	DET
fcis-15077	20	2	research	research	NOUN
fcis-15077	20	3	results	result	NOUN
fcis-15077	20	4	of	of	ADP
fcis-15077	20	5	this	this	DET
fcis-15077	20	6	paper	paper	NOUN
fcis-15077	20	7	will	will	AUX
fcis-15077	20	8	provide	provide	VERB
fcis-15077	20	9	substantial	substantial	ADJ
fcis-15077	20	10	support	support	NOUN
fcis-15077	20	11	for	for	ADP
fcis-15077	20	12	improving	improve	VERB
fcis-15077	20	13	the	the	DET
fcis-15077	20	14	performance	performance	NOUN
fcis-15077	20	15	of	of	ADP
fcis-15077	20	16	deep	deep	ADJ
fcis-15077	20	17	learning	learning	NOUN
fcis-15077	20	18	model	model	NOUN
fcis-15077	20	19	,	,	PUNCT
fcis-15077	20	20	reducing	reduce	VERB
fcis-15077	20	21	energy	energy	NOUN
fcis-15077	20	22	consumption	consumption	NOUN
fcis-15077	20	23	and	and	CCONJ
fcis-15077	20	24	promoting	promote	VERB
fcis-15077	20	25	the	the	DET
fcis-15077	20	26	innovative	innovative	ADJ
fcis-15077	20	27	development	development	NOUN
fcis-15077	20	28	of	of	ADP
fcis-15077	20	29	ai	ai	PROPN
fcis-15077	20	30	technology	technology	NOUN
fcis-15077	20	31	.	.	PUNCT
fcis-15077	21	1	2	2	X
fcis-15077	21	2	.	.	X
fcis-15077	21	3	deep	deep	ADJ
fcis-15077	21	4	learning	learning	NOUN
fcis-15077	21	5	model	model	NOUN
fcis-15077	21	6	with	with	ADP
fcis-15077	21	7	the	the	DET
fcis-15077	21	8	rapid	rapid	ADJ
fcis-15077	21	9	development	development	NOUN
fcis-15077	21	10	of	of	ADP
fcis-15077	21	11	deep	deep	ADJ
fcis-15077	21	12	learning	learning	NOUN
fcis-15077	21	13	,	,	PUNCT
fcis-15077	21	14	convolutional	convolutional	ADJ
fcis-15077	21	15	neural	neural	ADJ
fcis-15077	21	16	network	network	NOUN
fcis-15077	21	17	(	(	PUNCT
fcis-15077	21	18	cnn	cnn	PROPN
fcis-15077	21	19	)	)	PUNCT
fcis-15077	21	20	,	,	PUNCT
fcis-15077	21	21	as	as	ADP
fcis-15077	21	22	a	a	DET
fcis-15077	21	23	deep	deep	ADJ
fcis-15077	21	24	learning	learning	NOUN
fcis-15077	21	25	model	model	NOUN
fcis-15077	21	26	specially	specially	ADV
fcis-15077	21	27	used	use	VERB
fcis-15077	21	28	for	for	ADP
fcis-15077	21	29	processing	processing	NOUN
fcis-15077	21	30	images	image	NOUN
fcis-15077	21	31	and	and	CCONJ
fcis-15077	21	32	sequence	sequence	NOUN
fcis-15077	21	33	data	datum	NOUN
fcis-15077	21	34	,	,	PUNCT
fcis-15077	21	35	has	have	AUX
fcis-15077	21	36	gradually	gradually	ADV
fcis-15077	21	37	become	become	VERB
fcis-15077	21	38	one	one	NUM
fcis-15077	21	39	of	of	ADP
fcis-15077	21	40	the	the	DET
fcis-15077	21	41	core	core	NOUN
fcis-15077	21	42	technologies	technology	NOUN
fcis-15077	21	43	in	in	ADP
fcis-15077	21	44	computer	computer	NOUN
fcis-15077	21	45	vision	vision	NOUN
fcis-15077	21	46	,	,	PUNCT
fcis-15077	21	47	natural	natural	ADJ
fcis-15077	21	48	language	language	NOUN
fcis-15077	21	49	processing	processing	NOUN
fcis-15077	21	50	and	and	CCONJ
fcis-15077	21	51	other	other	ADJ
fcis-15077	21	52	fields	field	NOUN
fcis-15077	21	53	[	[	PUNCT
fcis-15077	21	54	2	2	NUM
fcis-15077	21	55	-	-	SYM
fcis-15077	21	56	3	3	NUM
fcis-15077	21	57	]	]	PUNCT
fcis-15077	21	58	.	.	PUNCT
fcis-15077	22	1	the	the	DET
fcis-15077	22	2	success	success	NOUN
fcis-15077	22	3	of	of	ADP
fcis-15077	22	4	cnn	cnn	PROPN
fcis-15077	22	5	lies	lie	VERB
fcis-15077	22	6	not	not	PART
fcis-15077	22	7	only	only	ADV
fcis-15077	22	8	in	in	ADP
fcis-15077	22	9	its	its	PRON
fcis-15077	22	10	excellent	excellent	ADJ
fcis-15077	22	11	performance	performance	NOUN
fcis-15077	22	12	,	,	PUNCT
fcis-15077	22	13	but	but	CCONJ
fcis-15077	22	14	also	also	ADV
fcis-15077	22	15	in	in	ADP
fcis-15077	22	16	its	its	PRON
fcis-15077	22	17	ability	ability	NOUN
fcis-15077	22	18	to	to	PART
fcis-15077	22	19	automatically	automatically	ADV
fcis-15077	22	20	learn	learn	VERB
fcis-15077	22	21	and	and	CCONJ
fcis-15077	22	22	express	express	VERB
fcis-15077	22	23	data	data	NOUN
fcis-15077	22	24	features	feature	NOUN
fcis-15077	22	25	hierarchically	hierarchically	ADV
fcis-15077	22	26	.	.	PUNCT
fcis-15077	23	1	the	the	DET
fcis-15077	23	2	model	model	NOUN
fcis-15077	23	3	structure	structure	NOUN
fcis-15077	23	4	of	of	ADP
fcis-15077	23	5	the	the	DET
fcis-15077	23	6	classic	classic	ADJ
fcis-15077	23	7	cnn	cnn	PROPN
fcis-15077	23	8	model	model	NOUN
fcis-15077	23	9	alexnet	alexnet	PROPN
fcis-15077	23	10	is	be	AUX
fcis-15077	23	11	shown	show	VERB
fcis-15077	23	12	in	in	ADP
fcis-15077	23	13	figure	figure	NOUN
fcis-15077	23	14	1	1	NUM
fcis-15077	23	15	.	.	PUNCT
fcis-15077	24	1	figure	figure	NOUN
fcis-15077	24	2	1	1	NUM
fcis-15077	24	3	.	.	PUNCT
fcis-15077	24	4	model	model	NOUN
fcis-15077	24	5	structure	structure	NOUN
fcis-15077	24	6	of	of	ADP
fcis-15077	24	7	alexnet	alexnet	NOUN
fcis-15077	24	8	first	first	ADV
fcis-15077	24	9	of	of	ADP
fcis-15077	24	10	all	all	PRON
fcis-15077	25	1	,	,	PUNCT
fcis-15077	25	2	the	the	DET
fcis-15077	25	3	core	core	ADJ
fcis-15077	25	4	idea	idea	NOUN
fcis-15077	25	5	of	of	ADP
fcis-15077	25	6	cnn	cnn	PROPN
fcis-15077	25	7	is	be	AUX
fcis-15077	25	8	to	to	PART
fcis-15077	25	9	capture	capture	VERB
fcis-15077	25	10	local	local	ADJ
fcis-15077	25	11	features	feature	NOUN
fcis-15077	25	12	in	in	ADP
fcis-15077	25	13	input	input	NOUN
fcis-15077	25	14	data	datum	NOUN
fcis-15077	25	15	through	through	ADP
fcis-15077	25	16	convolution	convolution	NOUN
fcis-15077	25	17	operation	operation	NOUN
fcis-15077	25	18	.	.	PUNCT
fcis-15077	26	1	this	this	DET
fcis-15077	26	2	way	way	NOUN
fcis-15077	26	3	of	of	ADP
fcis-15077	26	4	local	local	ADJ
fcis-15077	26	5	perception	perception	NOUN
fcis-15077	26	6	enables	enable	VERB
fcis-15077	26	7	cnn	cnn	PROPN
fcis-15077	26	8	to	to	PART
fcis-15077	26	9	efficiently	efficiently	ADV
fcis-15077	26	10	model	model	VERB
fcis-15077	26	11	the	the	DET
fcis-15077	26	12	spatial	spatial	ADJ
fcis-15077	26	13	hierarchy	hierarchy	NOUN
fcis-15077	26	14	in	in	ADP
fcis-15077	26	15	the	the	DET
fcis-15077	26	16	image	image	NOUN
fcis-15077	26	17	,	,	PUNCT
fcis-15077	26	18	so	so	SCONJ
fcis-15077	26	19	as	as	SCONJ
fcis-15077	26	20	to	to	PART
fcis-15077	26	21	better	well	ADV
fcis-15077	26	22	understand	understand	VERB
fcis-15077	26	23	and	and	CCONJ
fcis-15077	26	24	extract	extract	VERB
fcis-15077	26	25	the	the	DET
fcis-15077	26	26	features	feature	NOUN
fcis-15077	26	27	of	of	ADP
fcis-15077	26	28	the	the	DET
fcis-15077	26	29	image	image	NOUN
fcis-15077	26	30	[	[	X
fcis-15077	26	31	4	4	NUM
fcis-15077	26	32	]	]	PUNCT
fcis-15077	26	33	.	.	PUNCT
fcis-15077	27	1	by	by	ADP
fcis-15077	27	2	sharing	share	VERB
fcis-15077	27	3	weights	weight	NOUN
fcis-15077	27	4	,	,	PUNCT
fcis-15077	27	5	the	the	DET
fcis-15077	27	6	convolution	convolution	NOUN
fcis-15077	27	7	layer	layer	NOUN
fcis-15077	27	8	effectively	effectively	ADV
fcis-15077	27	9	reduces	reduce	VERB
fcis-15077	27	10	the	the	DET
fcis-15077	27	11	number	number	NOUN
fcis-15077	27	12	of	of	ADP
fcis-15077	27	13	parameters	parameter	NOUN
fcis-15077	27	14	,	,	PUNCT
fcis-15077	27	15	improves	improve	VERB
fcis-15077	27	16	the	the	DET
fcis-15077	27	17	calculation	calculation	NOUN
fcis-15077	27	18	efficiency	efficiency	NOUN
fcis-15077	27	19	of	of	ADP
fcis-15077	27	20	the	the	DET
fcis-15077	27	21	model	model	NOUN
fcis-15077	27	22	,	,	PUNCT
fcis-15077	27	23	and	and	CCONJ
fcis-15077	27	24	realizes	realize	VERB
fcis-15077	27	25	the	the	DET
fcis-15077	27	26	modeling	modeling	NOUN
fcis-15077	27	27	of	of	ADP
fcis-15077	27	28	translation	translation	NOUN
fcis-15077	27	29	invariance	invariance	NOUN
fcis-15077	27	30	while	while	SCONJ
fcis-15077	27	31	maintaining	maintain	VERB
fcis-15077	27	32	sensitivity	sensitivity	NOUN
fcis-15077	27	33	to	to	ADP
fcis-15077	27	34	local	local	ADJ
fcis-15077	27	35	features	feature	NOUN
fcis-15077	27	36	,	,	PUNCT
fcis-15077	27	37	making	make	VERB
fcis-15077	27	38	the	the	DET
fcis-15077	27	39	model	model	NOUN
fcis-15077	27	40	more	more	ADV
fcis-15077	27	41	generalized	generalize	VERB
fcis-15077	27	42	.	.	PUNCT
fcis-15077	28	1	12	12	NUM
fcis-15077	28	2	secondly	secondly	ADV
fcis-15077	28	3	,	,	PUNCT
fcis-15077	28	4	the	the	DET
fcis-15077	28	5	introduction	introduction	NOUN
fcis-15077	28	6	of	of	ADP
fcis-15077	28	7	pooling	pool	VERB
fcis-15077	28	8	layer	layer	NOUN
fcis-15077	28	9	further	far	ADV
fcis-15077	28	10	enhances	enhance	VERB
fcis-15077	28	11	cnn	cnn	PROPN
fcis-15077	28	12	's	's	PART
fcis-15077	28	13	abstract	abstract	ADJ
fcis-15077	28	14	ability	ability	NOUN
fcis-15077	28	15	.	.	PUNCT
fcis-15077	29	1	through	through	ADP
fcis-15077	29	2	pooling	pool	VERB
fcis-15077	29	3	operation	operation	NOUN
fcis-15077	29	4	,	,	PUNCT
fcis-15077	29	5	cnn	cnn	PROPN
fcis-15077	29	6	can	can	AUX
fcis-15077	29	7	reduce	reduce	VERB
fcis-15077	29	8	the	the	DET
fcis-15077	29	9	dimension	dimension	NOUN
fcis-15077	29	10	of	of	ADP
fcis-15077	29	11	data	datum	NOUN
fcis-15077	29	12	while	while	SCONJ
fcis-15077	29	13	retaining	retain	VERB
fcis-15077	29	14	important	important	ADJ
fcis-15077	29	15	information	information	NOUN
fcis-15077	29	16	,	,	PUNCT
fcis-15077	29	17	accelerate	accelerate	VERB
fcis-15077	29	18	the	the	DET
fcis-15077	29	19	training	training	NOUN
fcis-15077	29	20	process	process	NOUN
fcis-15077	29	21	of	of	ADP
fcis-15077	29	22	the	the	DET
fcis-15077	29	23	model	model	NOUN
fcis-15077	29	24	,	,	PUNCT
fcis-15077	29	25	and	and	CCONJ
fcis-15077	29	26	reduce	reduce	VERB
fcis-15077	29	27	the	the	DET
fcis-15077	29	28	risk	risk	NOUN
fcis-15077	29	29	of	of	ADP
fcis-15077	29	30	over	over	ADV
fcis-15077	29	31	-	-	PUNCT
fcis-15077	29	32	fitting	fitting	NOUN
fcis-15077	29	33	.	.	PUNCT
fcis-15077	30	1	the	the	DET
fcis-15077	30	2	role	role	NOUN
fcis-15077	30	3	of	of	ADP
fcis-15077	30	4	pooling	pool	VERB
fcis-15077	30	5	layer	layer	NOUN
fcis-15077	30	6	is	be	AUX
fcis-15077	30	7	to	to	PART
fcis-15077	30	8	extract	extract	VERB
fcis-15077	30	9	the	the	DET
fcis-15077	30	10	main	main	ADJ
fcis-15077	30	11	features	feature	NOUN
fcis-15077	30	12	,	,	PUNCT
fcis-15077	30	13	so	so	SCONJ
fcis-15077	30	14	as	as	SCONJ
fcis-15077	30	15	to	to	PART
fcis-15077	30	16	achieve	achieve	VERB
fcis-15077	30	17	a	a	DET
fcis-15077	30	18	more	more	ADV
fcis-15077	30	19	abstract	abstract	ADJ
fcis-15077	30	20	expression	expression	NOUN
fcis-15077	30	21	of	of	ADP
fcis-15077	30	22	images	image	NOUN
fcis-15077	30	23	or	or	CCONJ
fcis-15077	30	24	sequence	sequence	NOUN
fcis-15077	30	25	data	datum	NOUN
fcis-15077	30	26	at	at	ADP
fcis-15077	30	27	a	a	DET
fcis-15077	30	28	high	high	ADJ
fcis-15077	30	29	level	level	NOUN
fcis-15077	30	30	.	.	PUNCT
fcis-15077	31	1	the	the	DET
fcis-15077	31	2	multi	multi	ADJ
fcis-15077	31	3	-	-	ADJ
fcis-15077	31	4	level	level	ADJ
fcis-15077	31	5	structure	structure	NOUN
fcis-15077	31	6	of	of	ADP
fcis-15077	31	7	cnn	cnn	PROPN
fcis-15077	31	8	also	also	ADV
fcis-15077	31	9	makes	make	VERB
fcis-15077	31	10	it	it	PRON
fcis-15077	31	11	suitable	suitable	ADJ
fcis-15077	31	12	for	for	ADP
fcis-15077	31	13	feature	feature	NOUN
fcis-15077	31	14	extraction	extraction	NOUN
fcis-15077	31	15	at	at	ADP
fcis-15077	31	16	different	different	ADJ
fcis-15077	31	17	levels	level	NOUN
fcis-15077	31	18	.	.	PUNCT
fcis-15077	32	1	from	from	ADP
fcis-15077	32	2	the	the	DET
fcis-15077	32	3	bottom	bottom	ADJ
fcis-15077	32	4	edge	edge	NOUN
fcis-15077	32	5	and	and	CCONJ
fcis-15077	32	6	texture	texture	NOUN
fcis-15077	32	7	to	to	ADP
fcis-15077	32	8	the	the	DET
fcis-15077	32	9	high	high	ADJ
fcis-15077	32	10	-	-	PUNCT
fcis-15077	32	11	level	level	NOUN
fcis-15077	32	12	semantic	semantic	ADJ
fcis-15077	32	13	information	information	NOUN
fcis-15077	32	14	,	,	PUNCT
fcis-15077	32	15	cnn	cnn	PROPN
fcis-15077	32	16	has	have	AUX
fcis-15077	32	17	formed	form	VERB
fcis-15077	32	18	an	an	DET
fcis-15077	32	19	automatic	automatic	ADJ
fcis-15077	32	20	learning	learning	NOUN
fcis-15077	32	21	feature	feature	NOUN
fcis-15077	32	22	extractor	extractor	NOUN
fcis-15077	32	23	through	through	ADP
fcis-15077	32	24	feature	feature	NOUN
fcis-15077	32	25	extraction	extraction	NOUN
fcis-15077	32	26	and	and	CCONJ
fcis-15077	32	27	abstraction	abstraction	NOUN
fcis-15077	32	28	layer	layer	NOUN
fcis-15077	32	29	by	by	ADP
fcis-15077	32	30	layer	layer	NOUN
fcis-15077	32	31	,	,	PUNCT
fcis-15077	32	32	which	which	PRON
fcis-15077	32	33	makes	make	VERB
fcis-15077	32	34	the	the	DET
fcis-15077	32	35	model	model	NOUN
fcis-15077	32	36	adapt	adapt	VERB
fcis-15077	32	37	to	to	ADP
fcis-15077	32	38	the	the	DET
fcis-15077	32	39	feature	feature	NOUN
fcis-15077	32	40	requirements	requirement	NOUN
fcis-15077	32	41	of	of	ADP
fcis-15077	32	42	different	different	ADJ
fcis-15077	32	43	tasks	task	NOUN
fcis-15077	32	44	[	[	X
fcis-15077	32	45	5	5	NUM
fcis-15077	32	46	]	]	PUNCT
fcis-15077	32	47	.	.	PUNCT
fcis-15077	33	1	in	in	ADP
fcis-15077	33	2	addition	addition	NOUN
fcis-15077	33	3	,	,	PUNCT
fcis-15077	33	4	by	by	ADP
fcis-15077	33	5	introducing	introduce	VERB
fcis-15077	33	6	activation	activation	NOUN
fcis-15077	33	7	function	function	NOUN
fcis-15077	33	8	and	and	CCONJ
fcis-15077	33	9	regularization	regularization	NOUN
fcis-15077	33	10	technology	technology	NOUN
fcis-15077	33	11	,	,	PUNCT
fcis-15077	33	12	cnn	cnn	PROPN
fcis-15077	33	13	can	can	AUX
fcis-15077	33	14	better	well	ADV
fcis-15077	33	15	deal	deal	VERB
fcis-15077	33	16	with	with	ADP
fcis-15077	33	17	nonlinear	nonlinear	ADJ
fcis-15077	33	18	relations	relation	NOUN
fcis-15077	33	19	and	and	CCONJ
fcis-15077	33	20	prevent	prevent	VERB
fcis-15077	33	21	over	over	ADP
fcis-15077	33	22	-	-	PUNCT
fcis-15077	33	23	fitting	fit	VERB
fcis-15077	33	24	,	,	PUNCT
fcis-15077	33	25	and	and	CCONJ
fcis-15077	33	26	improve	improve	VERB
fcis-15077	33	27	the	the	DET
fcis-15077	33	28	generalization	generalization	NOUN
fcis-15077	33	29	ability	ability	NOUN
fcis-15077	33	30	of	of	ADP
fcis-15077	33	31	the	the	DET
fcis-15077	33	32	model	model	NOUN
fcis-15077	33	33	.	.	PUNCT
fcis-15077	34	1	in	in	ADP
fcis-15077	34	2	recent	recent	ADJ
fcis-15077	34	3	years	year	NOUN
fcis-15077	34	4	,	,	PUNCT
fcis-15077	34	5	the	the	DET
fcis-15077	34	6	deep	deep	ADJ
fcis-15077	34	7	learning	learning	NOUN
fcis-15077	34	8	community	community	NOUN
fcis-15077	34	9	has	have	AUX
fcis-15077	34	10	continuously	continuously	ADV
fcis-15077	34	11	improved	improve	VERB
fcis-15077	34	12	and	and	CCONJ
fcis-15077	34	13	optimized	optimize	VERB
fcis-15077	34	14	cnn	cnn	PROPN
fcis-15077	34	15	,	,	PUNCT
fcis-15077	34	16	and	and	CCONJ
fcis-15077	34	17	introduced	introduce	VERB
fcis-15077	34	18	innovative	innovative	ADJ
fcis-15077	34	19	structures	structure	NOUN
fcis-15077	34	20	such	such	ADJ
fcis-15077	34	21	as	as	ADP
fcis-15077	34	22	residual	residual	ADJ
fcis-15077	34	23	network	network	NOUN
fcis-15077	34	24	and	and	CCONJ
fcis-15077	34	25	attention	attention	NOUN
fcis-15077	34	26	mechanism	mechanism	NOUN
fcis-15077	34	27	,	,	PUNCT
fcis-15077	34	28	which	which	PRON
fcis-15077	34	29	made	make	VERB
fcis-15077	34	30	cnn	cnn	PROPN
fcis-15077	34	31	achieve	achieve	VERB
fcis-15077	34	32	remarkable	remarkable	ADJ
fcis-15077	34	33	results	result	NOUN
fcis-15077	34	34	in	in	ADP
fcis-15077	34	35	more	more	ADJ
fcis-15077	34	36	complex	complex	ADJ
fcis-15077	34	37	tasks	task	NOUN
fcis-15077	34	38	and	and	CCONJ
fcis-15077	34	39	larger	large	ADJ
fcis-15077	34	40	data	datum	NOUN
fcis-15077	34	41	sets	set	NOUN
fcis-15077	34	42	.	.	PUNCT
fcis-15077	35	1	as	as	ADP
fcis-15077	35	2	a	a	DET
fcis-15077	35	3	powerful	powerful	ADJ
fcis-15077	35	4	deep	deep	ADJ
fcis-15077	35	5	learning	learning	NOUN
fcis-15077	35	6	model	model	NOUN
fcis-15077	35	7	,	,	PUNCT
fcis-15077	35	8	cnn	cnn	PROPN
fcis-15077	35	9	has	have	AUX
fcis-15077	35	10	not	not	PART
fcis-15077	35	11	only	only	ADV
fcis-15077	35	12	performed	perform	VERB
fcis-15077	35	13	well	well	ADV
fcis-15077	35	14	in	in	ADP
fcis-15077	35	15	the	the	DET
fcis-15077	35	16	field	field	NOUN
fcis-15077	35	17	of	of	ADP
fcis-15077	35	18	image	image	NOUN
fcis-15077	35	19	processing	processing	NOUN
fcis-15077	35	20	,	,	PUNCT
fcis-15077	35	21	but	but	CCONJ
fcis-15077	35	22	also	also	ADV
fcis-15077	35	23	achieved	achieve	VERB
fcis-15077	35	24	remarkable	remarkable	ADJ
fcis-15077	35	25	success	success	NOUN
fcis-15077	35	26	in	in	ADP
fcis-15077	35	27	many	many	ADJ
fcis-15077	35	28	other	other	ADJ
fcis-15077	35	29	fields	field	NOUN
fcis-15077	35	30	[	[	PUNCT
fcis-15077	35	31	6	6	NUM
fcis-15077	35	32	-	-	SYM
fcis-15077	35	33	7	7	NUM
fcis-15077	35	34	]	]	PUNCT
fcis-15077	35	35	.	.	PUNCT
fcis-15077	36	1	its	its	PRON
fcis-15077	36	2	hierarchical	hierarchical	ADJ
fcis-15077	36	3	feature	feature	NOUN
fcis-15077	36	4	learning	learning	NOUN
fcis-15077	36	5	and	and	CCONJ
fcis-15077	36	6	sensitivity	sensitivity	NOUN
fcis-15077	36	7	to	to	ADP
fcis-15077	36	8	local	local	ADJ
fcis-15077	36	9	information	information	NOUN
fcis-15077	36	10	make	make	VERB
fcis-15077	36	11	cnn	cnn	PROPN
fcis-15077	36	12	have	have	VERB
fcis-15077	36	13	a	a	DET
fcis-15077	36	14	wide	wide	ADJ
fcis-15077	36	15	application	application	NOUN
fcis-15077	36	16	prospect	prospect	NOUN
fcis-15077	36	17	in	in	ADP
fcis-15077	36	18	dealing	deal	VERB
fcis-15077	36	19	with	with	ADP
fcis-15077	36	20	complex	complex	ADJ
fcis-15077	36	21	data	datum	NOUN
fcis-15077	36	22	and	and	CCONJ
fcis-15077	36	23	solving	solve	VERB
fcis-15077	36	24	practical	practical	ADJ
fcis-15077	36	25	problems	problem	NOUN
fcis-15077	36	26	.	.	PUNCT
fcis-15077	37	1	3	3	X
fcis-15077	37	2	.	.	X
fcis-15077	37	3	analysis	analysis	NOUN
fcis-15077	37	4	of	of	ADP
fcis-15077	37	5	hardware	hardware	NOUN
fcis-15077	37	6	characteristics	characteristic	NOUN
fcis-15077	37	7	of	of	ADP
fcis-15077	37	8	ai	ai	PRON
fcis-15077	37	9	chip	chip	NOUN
fcis-15077	37	10	with	with	ADP
fcis-15077	37	11	the	the	DET
fcis-15077	37	12	continuous	continuous	ADJ
fcis-15077	37	13	progress	progress	NOUN
fcis-15077	37	14	of	of	ADP
fcis-15077	37	15	ai	ai	PROPN
fcis-15077	37	16	technology	technology	NOUN
fcis-15077	37	17	,	,	PUNCT
fcis-15077	37	18	ai	ai	VERB
fcis-15077	37	19	chip	chip	NOUN
fcis-15077	37	20	is	be	AUX
fcis-15077	37	21	the	the	DET
fcis-15077	37	22	core	core	NOUN
fcis-15077	37	23	hardware	hardware	NOUN
fcis-15077	37	24	component	component	NOUN
fcis-15077	37	25	to	to	PART
fcis-15077	37	26	support	support	VERB
fcis-15077	37	27	and	and	CCONJ
fcis-15077	37	28	promote	promote	VERB
fcis-15077	37	29	ai	ai	VERB
fcis-15077	37	30	application	application	NOUN
fcis-15077	37	31	,	,	PUNCT
fcis-15077	37	32	and	and	CCONJ
fcis-15077	37	33	the	the	DET
fcis-15077	37	34	analysis	analysis	NOUN
fcis-15077	37	35	of	of	ADP
fcis-15077	37	36	its	its	PRON
fcis-15077	37	37	hardware	hardware	NOUN
fcis-15077	37	38	characteristics	characteristic	NOUN
fcis-15077	37	39	is	be	AUX
fcis-15077	37	40	very	very	ADV
fcis-15077	37	41	important	important	ADJ
fcis-15077	37	42	for	for	ADP
fcis-15077	37	43	understanding	understand	VERB
fcis-15077	37	44	its	its	PRON
fcis-15077	37	45	performance	performance	NOUN
fcis-15077	37	46	and	and	CCONJ
fcis-15077	37	47	application	application	NOUN
fcis-15077	37	48	fields	field	NOUN
fcis-15077	37	49	.	.	PUNCT
fcis-15077	38	1	ai	ai	VERB
fcis-15077	38	2	tasks	task	NOUN
fcis-15077	38	3	usually	usually	ADV
fcis-15077	38	4	involve	involve	VERB
fcis-15077	38	5	large	large	ADJ
fcis-15077	38	6	-	-	PUNCT
fcis-15077	38	7	scale	scale	NOUN
fcis-15077	38	8	matrix	matrix	NOUN
fcis-15077	38	9	operations	operation	NOUN
fcis-15077	38	10	and	and	CCONJ
fcis-15077	38	11	neural	neural	ADJ
fcis-15077	38	12	network	network	NOUN
fcis-15077	38	13	training	training	NOUN
fcis-15077	38	14	,	,	PUNCT
fcis-15077	38	15	which	which	PRON
fcis-15077	38	16	puts	put	VERB
fcis-15077	38	17	great	great	ADJ
fcis-15077	38	18	demands	demand	NOUN
fcis-15077	38	19	on	on	ADP
fcis-15077	38	20	computing	compute	VERB
fcis-15077	38	21	power	power	NOUN
fcis-15077	38	22	.	.	PUNCT
fcis-15077	39	1	one	one	NUM
fcis-15077	39	2	of	of	ADP
fcis-15077	39	3	the	the	DET
fcis-15077	39	4	hardware	hardware	NOUN
fcis-15077	39	5	characteristics	characteristic	NOUN
fcis-15077	39	6	of	of	ADP
fcis-15077	39	7	ai	ai	VERB
fcis-15077	39	8	chip	chip	NOUN
fcis-15077	39	9	is	be	AUX
fcis-15077	39	10	its	its	PRON
fcis-15077	39	11	powerful	powerful	ADJ
fcis-15077	39	12	parallel	parallel	ADJ
fcis-15077	39	13	processing	processing	NOUN
fcis-15077	39	14	ability	ability	NOUN
fcis-15077	39	15	.	.	PUNCT
fcis-15077	40	1	through	through	ADP
fcis-15077	40	2	parallel	parallel	ADJ
fcis-15077	40	3	computing	compute	VERB
fcis-15077	40	4	unit	unit	NOUN
fcis-15077	40	5	and	and	CCONJ
fcis-15077	40	6	specific	specific	ADJ
fcis-15077	40	7	hardware	hardware	NOUN
fcis-15077	40	8	structure	structure	NOUN
fcis-15077	40	9	,	,	PUNCT
fcis-15077	40	10	ai	ai	AUX
fcis-15077	40	11	chip	chip	NOUN
fcis-15077	40	12	can	can	AUX
fcis-15077	40	13	process	process	VERB
fcis-15077	40	14	multiple	multiple	ADJ
fcis-15077	40	15	data	datum	NOUN
fcis-15077	40	16	at	at	ADP
fcis-15077	40	17	the	the	DET
fcis-15077	40	18	same	same	ADJ
fcis-15077	40	19	time	time	NOUN
fcis-15077	40	20	,	,	PUNCT
fcis-15077	40	21	improve	improve	VERB
fcis-15077	40	22	computing	computing	NOUN
fcis-15077	40	23	efficiency	efficiency	NOUN
fcis-15077	40	24	,	,	PUNCT
fcis-15077	40	25	and	and	CCONJ
fcis-15077	40	26	thus	thus	ADV
fcis-15077	40	27	accelerate	accelerate	VERB
fcis-15077	40	28	the	the	DET
fcis-15077	40	29	training	training	NOUN
fcis-15077	40	30	and	and	CCONJ
fcis-15077	40	31	inference	inference	NOUN
fcis-15077	40	32	process	process	NOUN
fcis-15077	40	33	of	of	ADP
fcis-15077	40	34	deep	deep	ADJ
fcis-15077	40	35	learning	learning	NOUN
fcis-15077	40	36	model	model	NOUN
fcis-15077	40	37	[	[	X
fcis-15077	40	38	8	8	NUM
fcis-15077	40	39	]	]	PUNCT
fcis-15077	40	40	.	.	PUNCT
fcis-15077	41	1	energy	energy	NOUN
fcis-15077	41	2	efficiency	efficiency	NOUN
fcis-15077	41	3	is	be	AUX
fcis-15077	41	4	one	one	NUM
fcis-15077	41	5	of	of	ADP
fcis-15077	41	6	the	the	DET
fcis-15077	41	7	most	most	ADV
fcis-15077	41	8	important	important	ADJ
fcis-15077	41	9	indicators	indicator	NOUN
fcis-15077	41	10	in	in	ADP
fcis-15077	41	11	ai	ai	PROPN
fcis-15077	41	12	chip	chip	NOUN
fcis-15077	41	13	design	design	NOUN
fcis-15077	41	14	.	.	PUNCT
fcis-15077	42	1	compared	compare	VERB
fcis-15077	42	2	with	with	ADP
fcis-15077	42	3	traditional	traditional	ADJ
fcis-15077	42	4	general	general	ADJ
fcis-15077	42	5	-	-	PUNCT
fcis-15077	42	6	purpose	purpose	NOUN
fcis-15077	42	7	processors	processor	NOUN
fcis-15077	42	8	,	,	PUNCT
fcis-15077	42	9	ai	ai	AUX
fcis-15077	42	10	chips	chip	NOUN
fcis-15077	42	11	usually	usually	ADV
fcis-15077	42	12	adopt	adopt	VERB
fcis-15077	42	13	special	special	ADJ
fcis-15077	42	14	architecture	architecture	NOUN
fcis-15077	42	15	and	and	CCONJ
fcis-15077	42	16	design	design	NOUN
fcis-15077	42	17	to	to	PART
fcis-15077	42	18	improve	improve	VERB
fcis-15077	42	19	energy	energy	NOUN
fcis-15077	42	20	efficiency	efficiency	NOUN
fcis-15077	42	21	.	.	PUNCT
fcis-15077	43	1	hardware	hardware	NOUN
fcis-15077	43	2	-	-	PUNCT
fcis-15077	43	3	specific	specific	ADJ
fcis-15077	43	4	optimization	optimization	NOUN
fcis-15077	43	5	,	,	PUNCT
fcis-15077	43	6	such	such	ADJ
fcis-15077	43	7	as	as	ADP
fcis-15077	43	8	hardware	hardware	NOUN
fcis-15077	43	9	acceleration	acceleration	NOUN
fcis-15077	43	10	and	and	CCONJ
fcis-15077	43	11	low	low	ADJ
fcis-15077	43	12	-	-	PUNCT
fcis-15077	43	13	power	power	NOUN
fcis-15077	43	14	design	design	NOUN
fcis-15077	43	15	of	of	ADP
fcis-15077	43	16	deep	deep	ADJ
fcis-15077	43	17	learning	learning	NOUN
fcis-15077	43	18	algorithm	algorithm	NOUN
fcis-15077	43	19	,	,	PUNCT
fcis-15077	43	20	enables	enable	VERB
fcis-15077	43	21	ai	ai	VERB
fcis-15077	43	22	chips	chip	NOUN
fcis-15077	43	23	to	to	PART
fcis-15077	43	24	use	use	VERB
fcis-15077	43	25	energy	energy	NOUN
fcis-15077	43	26	more	more	ADV
fcis-15077	43	27	efficiently	efficiently	ADV
fcis-15077	43	28	and	and	CCONJ
fcis-15077	43	29	reduce	reduce	VERB
fcis-15077	43	30	computing	computing	NOUN
fcis-15077	43	31	costs	cost	NOUN
fcis-15077	43	32	when	when	SCONJ
fcis-15077	43	33	performing	perform	VERB
fcis-15077	43	34	large	large	ADJ
fcis-15077	43	35	-	-	PUNCT
fcis-15077	43	36	scale	scale	NOUN
fcis-15077	43	37	ai	ai	NOUN
fcis-15077	43	38	tasks	task	NOUN
fcis-15077	43	39	.	.	PUNCT
fcis-15077	44	1	the	the	DET
fcis-15077	44	2	design	design	NOUN
fcis-15077	44	3	of	of	ADP
fcis-15077	44	4	ai	ai	PRON
fcis-15077	44	5	chip	chip	NOUN
fcis-15077	44	6	usually	usually	ADV
fcis-15077	44	7	integrates	integrate	VERB
fcis-15077	44	8	a	a	DET
fcis-15077	44	9	special	special	ADJ
fcis-15077	44	10	neural	neural	ADJ
fcis-15077	44	11	network	network	NOUN
fcis-15077	44	12	accelerator	accelerator	NOUN
fcis-15077	44	13	.	.	PUNCT
fcis-15077	45	1	these	these	DET
fcis-15077	45	2	accelerators	accelerator	NOUN
fcis-15077	45	3	are	be	AUX
fcis-15077	45	4	hardware	hardware	NOUN
fcis-15077	45	5	units	unit	NOUN
fcis-15077	45	6	for	for	ADP
fcis-15077	45	7	deep	deep	ADJ
fcis-15077	45	8	learning	learning	NOUN
fcis-15077	45	9	tasks	task	NOUN
fcis-15077	45	10	,	,	PUNCT
fcis-15077	45	11	which	which	PRON
fcis-15077	45	12	accelerate	accelerate	VERB
fcis-15077	45	13	the	the	DET
fcis-15077	45	14	forward	forward	ADJ
fcis-15077	45	15	propagation	propagation	NOUN
fcis-15077	45	16	and	and	CCONJ
fcis-15077	45	17	backward	backward	ADJ
fcis-15077	45	18	propagation	propagation	NOUN
fcis-15077	45	19	of	of	ADP
fcis-15077	45	20	neural	neural	ADJ
fcis-15077	45	21	networks	network	NOUN
fcis-15077	45	22	by	by	ADP
fcis-15077	45	23	efficiently	efficiently	ADV
fcis-15077	45	24	performing	perform	VERB
fcis-15077	45	25	convolution	convolution	NOUN
fcis-15077	45	26	and	and	CCONJ
fcis-15077	45	27	matrix	matrix	NOUN
fcis-15077	45	28	operations	operation	NOUN
fcis-15077	45	29	.	.	PUNCT
fcis-15077	46	1	this	this	DET
fcis-15077	46	2	hardware	hardware	NOUN
fcis-15077	46	3	feature	feature	NOUN
fcis-15077	46	4	makes	make	VERB
fcis-15077	46	5	ai	ai	VERB
fcis-15077	46	6	chip	chip	NOUN
fcis-15077	46	7	have	have	VERB
fcis-15077	46	8	excellent	excellent	ADJ
fcis-15077	46	9	performance	performance	NOUN
fcis-15077	46	10	when	when	SCONJ
fcis-15077	46	11	dealing	deal	VERB
fcis-15077	46	12	with	with	ADP
fcis-15077	46	13	large	large	ADJ
fcis-15077	46	14	-	-	PUNCT
fcis-15077	46	15	scale	scale	NOUN
fcis-15077	46	16	neural	neural	ADJ
fcis-15077	46	17	networks	network	NOUN
fcis-15077	46	18	.	.	PUNCT
fcis-15077	47	1	although	although	SCONJ
fcis-15077	47	2	ai	ai	VERB
fcis-15077	47	3	chips	chip	NOUN
fcis-15077	47	4	usually	usually	ADV
fcis-15077	47	5	have	have	VERB
fcis-15077	47	6	special	special	ADJ
fcis-15077	47	7	hardware	hardware	NOUN
fcis-15077	47	8	accelerators	accelerator	NOUN
fcis-15077	47	9	,	,	PUNCT
fcis-15077	47	10	their	their	PRON
fcis-15077	47	11	design	design	NOUN
fcis-15077	47	12	also	also	ADV
fcis-15077	47	13	pays	pay	VERB
fcis-15077	47	14	attention	attention	NOUN
fcis-15077	47	15	to	to	ADP
fcis-15077	47	16	flexibility	flexibility	NOUN
fcis-15077	47	17	and	and	CCONJ
fcis-15077	47	18	programmability	programmability	NOUN
fcis-15077	47	19	.	.	PUNCT
fcis-15077	48	1	this	this	PRON
fcis-15077	48	2	means	mean	VERB
fcis-15077	48	3	that	that	SCONJ
fcis-15077	48	4	ai	ai	VERB
fcis-15077	48	5	chips	chip	NOUN
fcis-15077	48	6	can	can	AUX
fcis-15077	48	7	adapt	adapt	VERB
fcis-15077	48	8	to	to	ADP
fcis-15077	48	9	different	different	ADJ
fcis-15077	48	10	ai	ai	NOUN
fcis-15077	48	11	tasks	task	NOUN
fcis-15077	48	12	and	and	CCONJ
fcis-15077	48	13	be	be	AUX
fcis-15077	48	14	used	use	VERB
fcis-15077	48	15	flexibly	flexibly	ADV
fcis-15077	48	16	in	in	ADP
fcis-15077	48	17	different	different	ADJ
fcis-15077	48	18	application	application	NOUN
fcis-15077	48	19	scenarios	scenario	NOUN
fcis-15077	48	20	[	[	X
fcis-15077	48	21	9	9	NUM
fcis-15077	48	22	]	]	PUNCT
fcis-15077	48	23	.	.	PUNCT
fcis-15077	49	1	the	the	DET
fcis-15077	49	2	programmable	programmable	ADJ
fcis-15077	49	3	design	design	NOUN
fcis-15077	49	4	enables	enable	VERB
fcis-15077	49	5	the	the	DET
fcis-15077	49	6	chip	chip	NOUN
fcis-15077	49	7	to	to	PART
fcis-15077	49	8	adapt	adapt	VERB
fcis-15077	49	9	to	to	ADP
fcis-15077	49	10	the	the	DET
fcis-15077	49	11	new	new	ADJ
fcis-15077	49	12	algorithm	algorithm	NOUN
fcis-15077	49	13	and	and	CCONJ
fcis-15077	49	14	model	model	NOUN
fcis-15077	49	15	structure	structure	NOUN
fcis-15077	49	16	through	through	ADP
fcis-15077	49	17	firmware	firmware	NOUN
fcis-15077	49	18	or	or	CCONJ
fcis-15077	49	19	software	software	NOUN
fcis-15077	49	20	update	update	NOUN
fcis-15077	49	21	.	.	PUNCT
fcis-15077	50	1	in	in	ADP
fcis-15077	50	2	order	order	NOUN
fcis-15077	50	3	to	to	PART
fcis-15077	50	4	improve	improve	VERB
fcis-15077	50	5	the	the	DET
fcis-15077	50	6	performance	performance	NOUN
fcis-15077	50	7	of	of	ADP
fcis-15077	50	8	the	the	DET
fcis-15077	50	9	whole	whole	ADJ
fcis-15077	50	10	system	system	NOUN
fcis-15077	50	11	,	,	PUNCT
fcis-15077	50	12	ai	ai	AUX
fcis-15077	50	13	chips	chip	NOUN
fcis-15077	50	14	are	be	AUX
fcis-15077	50	15	usually	usually	ADV
fcis-15077	50	16	highly	highly	ADV
fcis-15077	50	17	integrated	integrate	VERB
fcis-15077	50	18	.	.	PUNCT
fcis-15077	51	1	in	in	ADP
fcis-15077	51	2	addition	addition	NOUN
fcis-15077	51	3	to	to	ADP
fcis-15077	51	4	the	the	DET
fcis-15077	51	5	neural	neural	ADJ
fcis-15077	51	6	network	network	NOUN
fcis-15077	51	7	accelerator	accelerator	NOUN
fcis-15077	51	8	,	,	PUNCT
fcis-15077	51	9	it	it	PRON
fcis-15077	51	10	is	be	AUX
fcis-15077	51	11	also	also	ADV
fcis-15077	51	12	possible	possible	ADJ
fcis-15077	51	13	to	to	PART
fcis-15077	51	14	integrate	integrate	VERB
fcis-15077	51	15	multiple	multiple	ADJ
fcis-15077	51	16	functional	functional	ADJ
fcis-15077	51	17	units	unit	NOUN
fcis-15077	51	18	such	such	ADJ
fcis-15077	51	19	as	as	ADP
fcis-15077	51	20	storage	storage	NOUN
fcis-15077	51	21	controller	controller	NOUN
fcis-15077	51	22	and	and	CCONJ
fcis-15077	51	23	memory	memory	NOUN
fcis-15077	51	24	to	to	PART
fcis-15077	51	25	reduce	reduce	VERB
fcis-15077	51	26	communication	communication	NOUN
fcis-15077	51	27	delay	delay	NOUN
fcis-15077	51	28	and	and	CCONJ
fcis-15077	51	29	improve	improve	VERB
fcis-15077	51	30	data	data	NOUN
fcis-15077	51	31	throughput	throughput	NOUN
fcis-15077	51	32	,	,	PUNCT
fcis-15077	51	33	thus	thus	ADV
fcis-15077	51	34	better	well	ADV
fcis-15077	51	35	supporting	support	VERB
fcis-15077	51	36	large	large	ADJ
fcis-15077	51	37	-	-	PUNCT
fcis-15077	51	38	scale	scale	NOUN
fcis-15077	51	39	deep	deep	ADJ
fcis-15077	51	40	learning	learning	NOUN
fcis-15077	51	41	tasks	task	NOUN
fcis-15077	51	42	.	.	PUNCT
fcis-15077	52	1	in	in	ADP
fcis-15077	52	2	order	order	NOUN
fcis-15077	52	3	to	to	PART
fcis-15077	52	4	better	well	ADV
fcis-15077	52	5	adapt	adapt	VERB
fcis-15077	52	6	to	to	ADP
fcis-15077	52	7	different	different	ADJ
fcis-15077	52	8	types	type	NOUN
fcis-15077	52	9	of	of	ADP
fcis-15077	52	10	ai	ai	PRON
fcis-15077	52	11	tasks	task	NOUN
fcis-15077	52	12	,	,	PUNCT
fcis-15077	52	13	ai	ai	AUX
fcis-15077	52	14	chips	chip	NOUN
fcis-15077	52	15	usually	usually	ADV
fcis-15077	52	16	adopt	adopt	VERB
fcis-15077	52	17	heterogeneous	heterogeneous	ADJ
fcis-15077	52	18	computing	computing	NOUN
fcis-15077	52	19	structures	structure	NOUN
fcis-15077	52	20	.	.	PUNCT
fcis-15077	53	1	this	this	DET
fcis-15077	53	2	design	design	NOUN
fcis-15077	53	3	allows	allow	VERB
fcis-15077	53	4	different	different	ADJ
fcis-15077	53	5	types	type	NOUN
fcis-15077	53	6	of	of	ADP
fcis-15077	53	7	computing	compute	VERB
fcis-15077	53	8	units	unit	NOUN
fcis-15077	53	9	to	to	PART
fcis-15077	53	10	work	work	VERB
fcis-15077	53	11	together	together	ADV
fcis-15077	53	12	to	to	PART
fcis-15077	53	13	optimally	optimally	ADV
fcis-15077	53	14	complete	complete	VERB
fcis-15077	53	15	various	various	ADJ
fcis-15077	53	16	complex	complex	ADJ
fcis-15077	53	17	ai	ai	NOUN
fcis-15077	53	18	tasks	task	NOUN
fcis-15077	53	19	,	,	PUNCT
fcis-15077	53	20	including	include	VERB
fcis-15077	53	21	image	image	NOUN
fcis-15077	53	22	recognition	recognition	NOUN
fcis-15077	53	23	,	,	PUNCT
fcis-15077	53	24	natural	natural	ADJ
fcis-15077	53	25	language	language	NOUN
fcis-15077	53	26	processing	processing	NOUN
fcis-15077	53	27	and	and	CCONJ
fcis-15077	53	28	so	so	ADV
fcis-15077	53	29	on	on	ADV
fcis-15077	53	30	.	.	PUNCT
fcis-15077	54	1	the	the	DET
fcis-15077	54	2	hardware	hardware	NOUN
fcis-15077	54	3	characteristics	characteristic	NOUN
fcis-15077	54	4	of	of	ADP
fcis-15077	54	5	ai	ai	VERB
fcis-15077	54	6	chip	chip	NOUN
fcis-15077	54	7	show	show	NOUN
fcis-15077	54	8	remarkable	remarkable	ADJ
fcis-15077	54	9	advantages	advantage	NOUN
fcis-15077	54	10	in	in	ADP
fcis-15077	54	11	its	its	PRON
fcis-15077	54	12	parallel	parallel	ADJ
fcis-15077	54	13	processing	processing	NOUN
fcis-15077	54	14	ability	ability	NOUN
fcis-15077	54	15	,	,	PUNCT
fcis-15077	54	16	energy	energy	NOUN
fcis-15077	54	17	-	-	PUNCT
fcis-15077	54	18	efficient	efficient	ADJ
fcis-15077	54	19	computing	computing	NOUN
fcis-15077	54	20	,	,	PUNCT
fcis-15077	54	21	neural	neural	ADJ
fcis-15077	54	22	network	network	NOUN
fcis-15077	54	23	accelerator	accelerator	NOUN
fcis-15077	54	24	,	,	PUNCT
fcis-15077	54	25	flexibility	flexibility	NOUN
fcis-15077	54	26	and	and	CCONJ
fcis-15077	54	27	programmability	programmability	NOUN
fcis-15077	54	28	,	,	PUNCT
fcis-15077	54	29	high	high	ADJ
fcis-15077	54	30	integration	integration	NOUN
fcis-15077	54	31	and	and	CCONJ
fcis-15077	54	32	heterogeneous	heterogeneous	ADJ
fcis-15077	54	33	computing	computing	NOUN
fcis-15077	54	34	structure	structure	NOUN
fcis-15077	54	35	.	.	PUNCT
fcis-15077	55	1	these	these	DET
fcis-15077	55	2	characteristics	characteristic	NOUN
fcis-15077	55	3	provide	provide	VERB
fcis-15077	55	4	powerful	powerful	ADJ
fcis-15077	55	5	computing	computing	NOUN
fcis-15077	55	6	support	support	NOUN
fcis-15077	55	7	for	for	ADP
fcis-15077	55	8	ai	ai	PROPN
fcis-15077	55	9	applications	application	NOUN
fcis-15077	55	10	and	and	CCONJ
fcis-15077	55	11	promote	promote	VERB
fcis-15077	55	12	the	the	DET
fcis-15077	55	13	rapid	rapid	ADJ
fcis-15077	55	14	development	development	NOUN
fcis-15077	55	15	of	of	ADP
fcis-15077	55	16	ai	ai	PROPN
fcis-15077	55	17	technology	technology	NOUN
fcis-15077	55	18	in	in	ADP
fcis-15077	55	19	various	various	ADJ
fcis-15077	55	20	fields	field	NOUN
fcis-15077	55	21	.	.	PUNCT
fcis-15077	56	1	with	with	ADP
fcis-15077	56	2	the	the	DET
fcis-15077	56	3	continuous	continuous	ADJ
fcis-15077	56	4	progress	progress	NOUN
fcis-15077	56	5	of	of	ADP
fcis-15077	56	6	technology	technology	NOUN
fcis-15077	56	7	,	,	PUNCT
fcis-15077	56	8	the	the	DET
fcis-15077	56	9	hardware	hardware	NOUN
fcis-15077	56	10	characteristics	characteristic	NOUN
fcis-15077	56	11	of	of	ADP
fcis-15077	56	12	ai	ai	VERB
fcis-15077	56	13	chips	chip	NOUN
fcis-15077	56	14	will	will	AUX
fcis-15077	56	15	continue	continue	VERB
fcis-15077	56	16	to	to	PART
fcis-15077	56	17	evolve	evolve	VERB
fcis-15077	56	18	,	,	PUNCT
fcis-15077	56	19	providing	provide	VERB
fcis-15077	56	20	more	more	ADV
fcis-15077	56	21	efficient	efficient	ADJ
fcis-15077	56	22	and	and	CCONJ
fcis-15077	56	23	innovative	innovative	ADJ
fcis-15077	56	24	solutions	solution	NOUN
fcis-15077	56	25	for	for	ADP
fcis-15077	56	26	a	a	DET
fcis-15077	56	27	wider	wide	ADJ
fcis-15077	56	28	range	range	NOUN
fcis-15077	56	29	of	of	ADP
fcis-15077	56	30	application	application	NOUN
fcis-15077	56	31	scenarios	scenario	NOUN
fcis-15077	56	32	.	.	PUNCT
fcis-15077	57	1	4	4	X
fcis-15077	57	2	.	.	X
fcis-15077	57	3	hardware	hardware	NOUN
fcis-15077	57	4	accelerated	accelerate	VERB
fcis-15077	57	5	optimization	optimization	NOUN
fcis-15077	57	6	of	of	ADP
fcis-15077	57	7	cnn	cnn	PROPN
fcis-15077	57	8	on	on	ADP
fcis-15077	57	9	ai	ai	PRON
fcis-15077	57	10	chip	chip	NOUN
fcis-15077	57	11	with	with	ADP
fcis-15077	57	12	the	the	DET
fcis-15077	57	13	rapid	rapid	ADJ
fcis-15077	57	14	development	development	NOUN
fcis-15077	57	15	of	of	ADP
fcis-15077	57	16	deep	deep	ADJ
fcis-15077	57	17	learning	learning	NOUN
fcis-15077	57	18	technology	technology	NOUN
fcis-15077	57	19	,	,	PUNCT
fcis-15077	57	20	cnn	cnn	PROPN
fcis-15077	57	21	,	,	PUNCT
fcis-15077	57	22	as	as	ADP
fcis-15077	57	23	the	the	DET
fcis-15077	57	24	core	core	NOUN
fcis-15077	57	25	model	model	NOUN
fcis-15077	57	26	in	in	ADP
fcis-15077	57	27	tasks	task	NOUN
fcis-15077	57	28	such	such	ADJ
fcis-15077	57	29	as	as	ADP
fcis-15077	57	30	image	image	NOUN
fcis-15077	57	31	processing	processing	NOUN
fcis-15077	57	32	and	and	CCONJ
fcis-15077	57	33	pattern	pattern	NOUN
fcis-15077	57	34	recognition	recognition	NOUN
fcis-15077	57	35	,	,	PUNCT
fcis-15077	57	36	is	be	AUX
fcis-15077	57	37	widely	widely	ADV
fcis-15077	57	38	used	use	VERB
fcis-15077	57	39	in	in	ADP
fcis-15077	57	40	ai	ai	PROPN
fcis-15077	57	41	applications	application	NOUN
fcis-15077	57	42	,	,	PUNCT
fcis-15077	57	43	which	which	PRON
fcis-15077	57	44	puts	put	VERB
fcis-15077	57	45	higher	high	ADJ
fcis-15077	57	46	demands	demand	NOUN
fcis-15077	57	47	on	on	ADP
fcis-15077	57	48	computing	compute	VERB
fcis-15077	57	49	resources	resource	NOUN
fcis-15077	57	50	.	.	PUNCT
fcis-15077	58	1	in	in	ADP
fcis-15077	58	2	order	order	NOUN
fcis-15077	58	3	to	to	PART
fcis-15077	58	4	give	give	VERB
fcis-15077	58	5	full	full	ADJ
fcis-15077	58	6	play	play	NOUN
fcis-15077	58	7	to	to	ADP
fcis-15077	58	8	the	the	DET
fcis-15077	58	9	potential	potential	NOUN
fcis-15077	58	10	of	of	ADP
fcis-15077	58	11	cnn	cnn	PROPN
fcis-15077	58	12	on	on	ADP
fcis-15077	58	13	ai	ai	PROPN
fcis-15077	58	14	chip	chip	NOUN
fcis-15077	58	15	,	,	PUNCT
fcis-15077	58	16	hardware	hardware	NOUN
fcis-15077	58	17	accelerated	accelerate	VERB
fcis-15077	58	18	optimization	optimization	NOUN
fcis-15077	58	19	has	have	AUX
fcis-15077	58	20	become	become	VERB
fcis-15077	58	21	an	an	DET
fcis-15077	58	22	inevitable	inevitable	ADJ
fcis-15077	58	23	choice	choice	NOUN
fcis-15077	58	24	to	to	PART
fcis-15077	58	25	improve	improve	VERB
fcis-15077	58	26	performance	performance	NOUN
fcis-15077	58	27	and	and	CCONJ
fcis-15077	58	28	efficiency	efficiency	NOUN
fcis-15077	58	29	.	.	PUNCT
fcis-15077	59	1	the	the	DET
fcis-15077	59	2	training	training	NOUN
fcis-15077	59	3	and	and	CCONJ
fcis-15077	59	4	inference	inference	NOUN
fcis-15077	59	5	process	process	NOUN
fcis-15077	59	6	of	of	ADP
fcis-15077	59	7	cnn	cnn	PROPN
fcis-15077	59	8	involves	involve	VERB
fcis-15077	59	9	a	a	DET
fcis-15077	59	10	lot	lot	NOUN
fcis-15077	59	11	of	of	ADP
fcis-15077	59	12	convolution	convolution	NOUN
fcis-15077	59	13	and	and	CCONJ
fcis-15077	59	14	matrix	matrix	NOUN
fcis-15077	59	15	operations	operation	NOUN
fcis-15077	59	16	,	,	PUNCT
fcis-15077	59	17	which	which	PRON
fcis-15077	59	18	puts	put	VERB
fcis-15077	59	19	great	great	ADJ
fcis-15077	59	20	demands	demand	NOUN
fcis-15077	59	21	on	on	ADP
fcis-15077	59	22	computing	compute	VERB
fcis-15077	59	23	resources	resource	NOUN
fcis-15077	59	24	.	.	PUNCT
fcis-15077	60	1	through	through	ADP
fcis-15077	60	2	hardware	hardware	NOUN
fcis-15077	60	3	acceleration	acceleration	NOUN
fcis-15077	60	4	optimization	optimization	NOUN
fcis-15077	60	5	on	on	ADP
fcis-15077	60	6	ai	ai	PRON
fcis-15077	60	7	chip	chip	NOUN
fcis-15077	60	8	,	,	PUNCT
fcis-15077	60	9	we	we	PRON
fcis-15077	60	10	can	can	AUX
fcis-15077	60	11	use	use	VERB
fcis-15077	60	12	hardware	hardware	NOUN
fcis-15077	60	13	parallelism	parallelism	NOUN
fcis-15077	60	14	and	and	CCONJ
fcis-15077	60	15	special	special	ADJ
fcis-15077	60	16	convolution	convolution	NOUN
fcis-15077	60	17	accelerator	accelerator	NOUN
fcis-15077	60	18	to	to	PART
fcis-15077	60	19	significantly	significantly	ADV
fcis-15077	60	20	improve	improve	VERB
fcis-15077	60	21	the	the	DET
fcis-15077	60	22	computational	computational	ADJ
fcis-15077	60	23	efficiency	efficiency	NOUN
fcis-15077	60	24	.	.	PUNCT
fcis-15077	61	1	this	this	PRON
fcis-15077	61	2	helps	help	VERB
fcis-15077	61	3	to	to	PART
fcis-15077	61	4	shorten	shorten	VERB
fcis-15077	61	5	the	the	DET
fcis-15077	61	6	training	training	NOUN
fcis-15077	61	7	time	time	NOUN
fcis-15077	61	8	of	of	ADP
fcis-15077	61	9	the	the	DET
fcis-15077	61	10	model	model	NOUN
fcis-15077	61	11	and	and	CCONJ
fcis-15077	61	12	accelerate	accelerate	VERB
fcis-15077	61	13	the	the	DET
fcis-15077	61	14	real	real	ADJ
fcis-15077	61	15	-	-	PUNCT
fcis-15077	61	16	time	time	NOUN
fcis-15077	61	17	inference	inference	NOUN
fcis-15077	61	18	task	task	NOUN
fcis-15077	61	19	,	,	PUNCT
fcis-15077	61	20	making	make	VERB
fcis-15077	61	21	the	the	DET
fcis-15077	61	22	ai	ai	NOUN
fcis-15077	61	23	application	application	NOUN
fcis-15077	61	24	more	more	ADV
fcis-15077	61	25	responsive	responsive	ADJ
fcis-15077	61	26	.	.	PUNCT
fcis-15077	62	1	by	by	ADP
fcis-15077	62	2	using	use	VERB
fcis-15077	62	3	cnn	cnn	PROPN
fcis-15077	62	4	on	on	ADP
fcis-15077	62	5	ai	ai	PRON
fcis-15077	62	6	chip	chip	NOUN
fcis-15077	62	7	to	to	PART
fcis-15077	62	8	accelerate	accelerate	VERB
fcis-15077	62	9	hardware	hardware	NOUN
fcis-15077	62	10	optimization	optimization	NOUN
fcis-15077	62	11	,	,	PUNCT
fcis-15077	62	12	we	we	PRON
fcis-15077	62	13	can	can	AUX
fcis-15077	62	14	improve	improve	VERB
fcis-15077	62	15	computing	compute	VERB
fcis-15077	62	16	efficiency	efficiency	NOUN
fcis-15077	62	17	,	,	PUNCT
fcis-15077	62	18	reduce	reduce	VERB
fcis-15077	62	19	power	power	NOUN
fcis-15077	62	20	consumption	consumption	NOUN
fcis-15077	62	21	,	,	PUNCT
fcis-15077	62	22	achieve	achieve	VERB
fcis-15077	62	23	higher	high	ADJ
fcis-15077	62	24	real	real	ADJ
fcis-15077	62	25	-	-	PUNCT
fcis-15077	62	26	time	time	NOUN
fcis-15077	62	27	performance	performance	NOUN
fcis-15077	62	28	,	,	PUNCT
fcis-15077	62	29	and	and	CCONJ
fcis-15077	62	30	support	support	NOUN
fcis-15077	62	31	complex	complex	ADJ
fcis-15077	62	32	models	model	NOUN
fcis-15077	62	33	and	and	CCONJ
fcis-15077	62	34	large	large	ADJ
fcis-15077	62	35	-	-	PUNCT
fcis-15077	62	36	scale	scale	NOUN
fcis-15077	62	37	data	datum	NOUN
fcis-15077	62	38	processing	processing	NOUN
fcis-15077	62	39	.	.	PUNCT
fcis-15077	63	1	this	this	PRON
fcis-15077	63	2	not	not	PART
fcis-15077	63	3	only	only	ADV
fcis-15077	63	4	has	have	VERB
fcis-15077	63	5	an	an	DET
fcis-15077	63	6	important	important	ADJ
fcis-15077	63	7	impact	impact	NOUN
fcis-15077	63	8	on	on	ADP
fcis-15077	63	9	the	the	DET
fcis-15077	63	10	performance	performance	NOUN
fcis-15077	63	11	improvement	improvement	NOUN
fcis-15077	63	12	of	of	ADP
fcis-15077	63	13	current	current	ADJ
fcis-15077	63	14	ai	ai	PROPN
fcis-15077	63	15	applications	application	NOUN
fcis-15077	63	16	,	,	PUNCT
fcis-15077	63	17	but	but	CCONJ
fcis-15077	63	18	also	also	ADV
fcis-15077	63	19	opens	open	VERB
fcis-15077	63	20	up	up	ADP
fcis-15077	63	21	new	new	ADJ
fcis-15077	63	22	possibilities	possibility	NOUN
fcis-15077	63	23	for	for	ADP
fcis-15077	63	24	broader	broad	ADJ
fcis-15077	63	25	ai	ai	VERB
fcis-15077	63	26	application	application	NOUN
fcis-15077	63	27	scenarios	scenario	NOUN
fcis-15077	63	28	in	in	ADP
fcis-15077	63	29	the	the	DET
fcis-15077	63	30	future	future	NOUN
fcis-15077	63	31	[	[	X
fcis-15077	63	32	10	10	NUM
fcis-15077	63	33	]	]	PUNCT
fcis-15077	63	34	.	.	PUNCT
fcis-15077	64	1	when	when	SCONJ
fcis-15077	64	2	designing	design	VERB
fcis-15077	64	3	cnn	cnn	PROPN
fcis-15077	64	4	for	for	ADP
fcis-15077	64	5	hardware	hardware	NOUN
fcis-15077	64	6	acceleration	acceleration	NOUN
fcis-15077	64	7	optimization	optimization	NOUN
fcis-15077	64	8	on	on	ADP
fcis-15077	64	9	ai	ai	PRON
fcis-15077	64	10	chip	chip	NOUN
fcis-15077	64	11	,	,	PUNCT
fcis-15077	64	12	we	we	PRON
fcis-15077	64	13	need	need	VERB
fcis-15077	64	14	to	to	PART
fcis-15077	64	15	consider	consider	VERB
fcis-15077	64	16	many	many	ADJ
fcis-15077	64	17	factors	factor	NOUN
fcis-15077	64	18	such	such	ADJ
fcis-15077	64	19	as	as	ADP
fcis-15077	64	20	hardware	hardware	NOUN
fcis-15077	64	21	structure	structure	NOUN
fcis-15077	64	22	,	,	PUNCT
fcis-15077	64	23	computing	compute	VERB
fcis-15077	64	24	efficiency	efficiency	NOUN
fcis-15077	64	25	and	and	CCONJ
fcis-15077	64	26	energy	energy	NOUN
fcis-15077	64	27	consumption	consumption	NOUN
fcis-15077	64	28	.	.	PUNCT
fcis-15077	65	1	a	a	DET
fcis-15077	65	2	special	special	ADJ
fcis-15077	65	3	convolution	convolution	NOUN
fcis-15077	65	4	accelerator	accelerator	NOUN
fcis-15077	65	5	is	be	AUX
fcis-15077	65	6	designed	design	VERB
fcis-15077	65	7	,	,	PUNCT
fcis-15077	65	8	which	which	PRON
fcis-15077	65	9	can	can	AUX
fcis-15077	65	10	perform	perform	VERB
fcis-15077	65	11	convolution	convolution	NOUN
fcis-15077	65	12	operations	operation	NOUN
fcis-15077	65	13	in	in	ADP
fcis-15077	65	14	parallel	parallel	NOUN
fcis-15077	65	15	to	to	PART
fcis-15077	65	16	improve	improve	VERB
fcis-15077	65	17	the	the	DET
fcis-15077	65	18	computational	computational	ADJ
fcis-15077	65	19	efficiency	efficiency	NOUN
fcis-15077	65	20	.	.	PUNCT
fcis-15077	66	1	the	the	DET
fcis-15077	66	2	calculation	calculation	NOUN
fcis-15077	66	3	formula	formula	NOUN
fcis-15077	66	4	of	of	ADP
fcis-15077	66	5	convolution	convolution	NOUN
fcis-15077	66	6	operation	operation	NOUN
fcis-15077	66	7	is	be	AUX
fcis-15077	66	8	:	:	PUNCT
fcis-15077	66	9			PROPN
fcis-15077	66	10			PROPN
fcis-15077	66	11			PROPN
fcis-15077	67	1			PROPN
fcis-15077	67	2			PROPN
fcis-15077	67	3			PROPN
fcis-15077	67	4			PROPN
fcis-15077	67	5			NOUN
fcis-15077	67	6	1	1	NUM
fcis-15077	67	7	0	0	NUM
fcis-15077	67	8	1	1	NUM
fcis-15077	67	9	0	0	NUM
fcis-15077	67	10	,	,	PUNCT
fcis-15077	67	11	,	,	PUNCT
fcis-15077	67	12	m	m	VERB
fcis-15077	67	13	m	m	VERB
fcis-15077	67	14	n	n	ADP
fcis-15077	67	15	n	n	CCONJ
fcis-15077	67	16	nmnjmiij	nmnjmiij	PROPN
fcis-15077	67	17	mac	mac	PROPN
fcis-15077	67	18	(	(	PUNCT
fcis-15077	67	19	1	1	NUM
fcis-15077	67	20	)	)	PUNCT
fcis-15077	67	21	13	13	NUM
fcis-15077	67	22	where	where	SCONJ
fcis-15077	67	23	ijc	ijc	PROPN
fcis-15077	67	24	is	be	AUX
fcis-15077	67	25	the	the	DET
fcis-15077	67	26	element	element	NOUN
fcis-15077	67	27	of	of	ADP
fcis-15077	67	28	output	output	NOUN
fcis-15077	67	29	feature	feature	NOUN
fcis-15077	67	30	map	map	NOUN
fcis-15077	67	31	,	,	PUNCT
fcis-15077	67	32	njmia	njmia	NOUN
fcis-15077	67	33			PROPN
fcis-15077	67	34	,	,	PUNCT
fcis-15077	67	35	is	be	AUX
fcis-15077	67	36	the	the	DET
fcis-15077	67	37	element	element	NOUN
fcis-15077	67	38	of	of	ADP
fcis-15077	67	39	input	input	NOUN
fcis-15077	67	40	feature	feature	NOUN
fcis-15077	67	41	map	map	NOUN
fcis-15077	67	42	,	,	PUNCT
fcis-15077	67	43	and	and	CCONJ
fcis-15077	67	44	nmm	nmm	PROPN
fcis-15077	67	45	,	,	PUNCT
fcis-15077	67	46	is	be	AUX
fcis-15077	67	47	the	the	DET
fcis-15077	67	48	weight	weight	NOUN
fcis-15077	67	49	of	of	ADP
fcis-15077	67	50	convolution	convolution	NOUN
fcis-15077	67	51	kernel	kernel	NOUN
fcis-15077	67	52	.	.	PUNCT
fcis-15077	68	1	using	use	VERB
fcis-15077	68	2	distributed	distribute	VERB
fcis-15077	68	3	cache	cache	NOUN
fcis-15077	68	4	structure	structure	NOUN
fcis-15077	68	5	,	,	PUNCT
fcis-15077	68	6	the	the	DET
fcis-15077	68	7	input	input	NOUN
fcis-15077	68	8	data	datum	NOUN
fcis-15077	68	9	and	and	CCONJ
fcis-15077	68	10	model	model	NOUN
fcis-15077	68	11	parameters	parameter	NOUN
fcis-15077	68	12	are	be	AUX
fcis-15077	68	13	quantized	quantize	VERB
fcis-15077	68	14	,	,	PUNCT
fcis-15077	68	15	and	and	CCONJ
fcis-15077	68	16	floating	float	VERB
fcis-15077	68	17	point	point	NOUN
fcis-15077	68	18	numbers	number	NOUN
fcis-15077	68	19	are	be	AUX
fcis-15077	68	20	converted	convert	VERB
fcis-15077	68	21	into	into	ADP
fcis-15077	68	22	fixed	fix	VERB
fcis-15077	68	23	points	point	NOUN
fcis-15077	68	24	,	,	PUNCT
fcis-15077	68	25	which	which	PRON
fcis-15077	68	26	reduces	reduce	VERB
fcis-15077	68	27	data	datum	NOUN
fcis-15077	68	28	storage	storage	NOUN
fcis-15077	68	29	requirements	requirement	NOUN
fcis-15077	68	30	and	and	CCONJ
fcis-15077	68	31	speeds	speed	NOUN
fcis-15077	68	32	up	up	ADP
fcis-15077	68	33	calculation	calculation	NOUN
fcis-15077	68	34	.	.	PUNCT
fcis-15077	69	1	the	the	DET
fcis-15077	69	2	calculation	calculation	NOUN
fcis-15077	69	3	formula	formula	NOUN
fcis-15077	69	4	of	of	ADP
fcis-15077	69	5	quantification	quantification	NOUN
fcis-15077	69	6	is	be	AUX
fcis-15077	69	7	:	:	PUNCT
fcis-15077	69	8			NOUN
fcis-15077	69	9			NOUN
fcis-15077	69	10			PROPN
fcis-15077	69	11			NOUN
fcis-15077	69	12			PROPN
fcis-15077	69	13			NOUN
fcis-15077	69	14	orscale_fact	orscale_fact	PROPN
fcis-15077	69	15	float_data	float_data	PROPN
fcis-15077	69	16	data	datum	NOUN
fcis-15077	69	17	=	=	VERB
fcis-15077	69	18	roundquantized	roundquantize	VERB
fcis-15077	69	19	_	_	NOUN
fcis-15077	69	20	(	(	PUNCT
fcis-15077	69	21	2	2	NUM
fcis-15077	69	22	)	)	PUNCT
fcis-15077	69	23	in	in	ADP
fcis-15077	69	24	the	the	DET
fcis-15077	69	25	direct	direct	ADJ
fcis-15077	69	26	convolution	convolution	NOUN
fcis-15077	69	27	optimization	optimization	NOUN
fcis-15077	69	28	,	,	PUNCT
fcis-15077	69	29	there	there	PRON
fcis-15077	69	30	are	be	VERB
fcis-15077	69	31	several	several	ADJ
fcis-15077	69	32	levels	level	NOUN
fcis-15077	69	33	of	of	ADP
fcis-15077	69	34	data	datum	NOUN
fcis-15077	69	35	sharing	sharing	NOUN
fcis-15077	69	36	.	.	PUNCT
fcis-15077	70	1	in	in	ADP
fcis-15077	70	2	the	the	DET
fcis-15077	70	3	original	original	ADJ
fcis-15077	70	4	algorithm	algorithm	NOUN
fcis-15077	70	5	,	,	PUNCT
fcis-15077	70	6	one	one	NUM
fcis-15077	70	7	thread	thread	NOUN
fcis-15077	70	8	completes	complete	VERB
fcis-15077	70	9	the	the	DET
fcis-15077	70	10	calculation	calculation	NOUN
fcis-15077	70	11	of	of	ADP
fcis-15077	70	12	one	one	NUM
fcis-15077	70	13	neuron	neuron	NOUN
fcis-15077	70	14	,	,	PUNCT
fcis-15077	70	15	so	so	ADV
fcis-15077	70	16	each	each	DET
fcis-15077	70	17	thread	thread	NOUN
fcis-15077	70	18	needs	need	VERB
fcis-15077	70	19	to	to	PART
fcis-15077	70	20	input	input	VERB
fcis-15077	70	21	3×3	3×3	NUM
fcis-15077	70	22	inputs	input	NOUN
fcis-15077	70	23	,	,	PUNCT
fcis-15077	70	24	and	and	CCONJ
fcis-15077	70	25	16	16	NUM
fcis-15077	70	26	neurons	neuron	NOUN
fcis-15077	70	27	need	need	VERB
fcis-15077	70	28	a	a	DET
fcis-15077	70	29	total	total	NOUN
fcis-15077	70	30	of	of	ADP
fcis-15077	70	31	16×	16×	NUM
fcis-15077	70	32	3	3	NUM
fcis-15077	70	33	inputs	input	NOUN
fcis-15077	70	34	.	.	PUNCT
fcis-15077	71	1	assuming	assume	VERB
fcis-15077	71	2	that	that	SCONJ
fcis-15077	71	3	one	one	NUM
fcis-15077	71	4	thread	thread	NOUN
fcis-15077	71	5	completes	complete	VERB
fcis-15077	71	6	the	the	DET
fcis-15077	71	7	calculation	calculation	NOUN
fcis-15077	71	8	of	of	ADP
fcis-15077	71	9	16	16	NUM
fcis-15077	71	10	neurons	neuron	NOUN
fcis-15077	71	11	,	,	PUNCT
fcis-15077	71	12	it	it	PRON
fcis-15077	71	13	only	only	ADV
fcis-15077	71	14	needs	need	VERB
fcis-15077	71	15	to	to	PART
fcis-15077	71	16	input	input	VERB
fcis-15077	71	17	6×6	6×6	NUM
fcis-15077	71	18	inputs	input	NOUN
fcis-15077	71	19	,	,	PUNCT
fcis-15077	71	20	which	which	PRON
fcis-15077	71	21	is	be	AUX
fcis-15077	71	22	1/4	1/4	NUM
fcis-15077	71	23	of	of	ADP
fcis-15077	71	24	the	the	DET
fcis-15077	71	25	original	original	ADJ
fcis-15077	71	26	input	input	NOUN
fcis-15077	71	27	.	.	PUNCT
fcis-15077	72	1	if	if	SCONJ
fcis-15077	72	2	different	different	ADJ
fcis-15077	72	3	worker	worker	NOUN
fcis-15077	72	4	threads	thread	VERB
fcis-15077	72	5	in	in	ADP
fcis-15077	72	6	the	the	DET
fcis-15077	72	7	same	same	ADJ
fcis-15077	72	8	wrap	wrap	NOUN
fcis-15077	72	9	can	can	AUX
fcis-15077	72	10	share	share	VERB
fcis-15077	72	11	data	datum	NOUN
fcis-15077	72	12	,	,	PUNCT
fcis-15077	72	13	as	as	ADV
fcis-15077	72	14	long	long	ADV
fcis-15077	72	15	as	as	SCONJ
fcis-15077	72	16	there	there	PRON
fcis-15077	72	17	is	be	VERB
fcis-15077	72	18	enough	enough	ADJ
fcis-15077	72	19	filter	filter	NOUN
fcis-15077	72	20	,	,	PUNCT
fcis-15077	72	21	the	the	DET
fcis-15077	72	22	input	input	NOUN
fcis-15077	72	23	can	can	AUX
fcis-15077	72	24	be	be	AUX
fcis-15077	72	25	greatly	greatly	ADV
fcis-15077	72	26	reduced	reduce	VERB
fcis-15077	72	27	.	.	PUNCT
fcis-15077	73	1	5	5	X
fcis-15077	73	2	.	.	X
fcis-15077	73	3	experimental	experimental	ADJ
fcis-15077	73	4	analysis	analysis	NOUN
fcis-15077	73	5	in	in	ADP
fcis-15077	73	6	order	order	NOUN
fcis-15077	73	7	to	to	PART
fcis-15077	73	8	verify	verify	VERB
fcis-15077	73	9	the	the	DET
fcis-15077	73	10	applicability	applicability	NOUN
fcis-15077	73	11	and	and	CCONJ
fcis-15077	73	12	effectiveness	effectiveness	NOUN
fcis-15077	73	13	of	of	ADP
fcis-15077	73	14	the	the	DET
fcis-15077	73	15	proposed	propose	VERB
fcis-15077	73	16	software	software	NOUN
fcis-15077	73	17	-	-	PUNCT
fcis-15077	73	18	hardware	hardware	NOUN
fcis-15077	73	19	collaborative	collaborative	ADJ
fcis-15077	73	20	framework	framework	NOUN
fcis-15077	73	21	in	in	ADP
fcis-15077	73	22	cnn	cnn	PROPN
fcis-15077	73	23	optimization	optimization	NOUN
fcis-15077	73	24	,	,	PUNCT
fcis-15077	73	25	this	this	DET
fcis-15077	73	26	section	section	NOUN
fcis-15077	73	27	embeds	embed	VERB
fcis-15077	73	28	the	the	DET
fcis-15077	73	29	framework	framework	NOUN
fcis-15077	73	30	into	into	ADP
fcis-15077	73	31	the	the	DET
fcis-15077	73	32	mainstream	mainstream	NOUN
fcis-15077	73	33	cnn	cnn	PROPN
fcis-15077	73	34	model	model	NOUN
fcis-15077	73	35	goolenet	goolenet	PROPN
fcis-15077	73	36	.	.	PUNCT
fcis-15077	74	1	in	in	ADP
fcis-15077	74	2	this	this	DET
fcis-15077	74	3	paper	paper	NOUN
fcis-15077	74	4	,	,	PUNCT
fcis-15077	74	5	cudn	cudn	NOUN
fcis-15077	74	6	,	,	PUNCT
fcis-15077	74	7	a	a	DET
fcis-15077	74	8	deep	deep	ADJ
fcis-15077	74	9	neural	neural	ADJ
fcis-15077	74	10	network	network	NOUN
fcis-15077	74	11	library	library	NOUN
fcis-15077	74	12	developed	develop	VERB
fcis-15077	74	13	by	by	ADP
fcis-15077	74	14	nvidia	nvidia	PROPN
fcis-15077	74	15	,	,	PUNCT
fcis-15077	74	16	is	be	AUX
fcis-15077	74	17	used	use	VERB
fcis-15077	74	18	as	as	SCONJ
fcis-15077	74	19	the	the	DET
fcis-15077	74	20	experimental	experimental	ADJ
fcis-15077	74	21	comparison	comparison	NOUN
fcis-15077	74	22	baseline	baseline	VERB
fcis-15077	74	23	to	to	PART
fcis-15077	74	24	realize	realize	VERB
fcis-15077	74	25	the	the	DET
fcis-15077	74	26	optimization	optimization	NOUN
fcis-15077	74	27	and	and	CCONJ
fcis-15077	74	28	acceleration	acceleration	NOUN
fcis-15077	74	29	of	of	ADP
fcis-15077	74	30	googlenet	googlenet	NOUN
fcis-15077	74	31	.	.	PUNCT
fcis-15077	75	1	on	on	ADP
fcis-15077	75	2	the	the	DET
fcis-15077	75	3	other	other	ADJ
fcis-15077	75	4	hand	hand	NOUN
fcis-15077	75	5	,	,	PUNCT
fcis-15077	75	6	the	the	DET
fcis-15077	75	7	framework	framework	NOUN
fcis-15077	75	8	proposed	propose	VERB
fcis-15077	75	9	in	in	ADP
fcis-15077	75	10	this	this	DET
fcis-15077	75	11	paper	paper	NOUN
fcis-15077	75	12	is	be	AUX
fcis-15077	75	13	embedded	embed	VERB
fcis-15077	75	14	into	into	ADP
fcis-15077	75	15	the	the	DET
fcis-15077	75	16	network	network	NOUN
fcis-15077	75	17	architecture	architecture	NOUN
fcis-15077	75	18	of	of	ADP
fcis-15077	75	19	googlenet	googlenet	NOUN
fcis-15077	75	20	,	,	PUNCT
fcis-15077	75	21	which	which	PRON
fcis-15077	75	22	is	be	AUX
fcis-15077	75	23	converted	convert	VERB
fcis-15077	75	24	into	into	ADP
fcis-15077	75	25	matrix	matrix	NOUN
fcis-15077	75	26	multiplication	multiplication	NOUN
fcis-15077	75	27	as	as	ADP
fcis-15077	75	28	the	the	DET
fcis-15077	75	29	input	input	NOUN
fcis-15077	75	30	of	of	ADP
fcis-15077	75	31	the	the	DET
fcis-15077	75	32	kernel	kernel	PROPN
fcis-15077	75	33	function	function	NOUN
fcis-15077	75	34	batch	batch	NOUN
fcis-15077	75	35	matrix	matrix	NOUN
fcis-15077	75	36	,	,	PUNCT
fcis-15077	75	37	and	and	CCONJ
fcis-15077	75	38	then	then	ADV
fcis-15077	75	39	the	the	DET
fcis-15077	75	40	matrix	matrix	NOUN
fcis-15077	75	41	is	be	AUX
fcis-15077	75	42	processed	process	VERB
fcis-15077	75	43	by	by	ADP
fcis-15077	75	44	the	the	DET
fcis-15077	75	45	proposed	propose	VERB
fcis-15077	75	46	batch	batch	NOUN
fcis-15077	75	47	gemm	gemm	NOUN
fcis-15077	75	48	kernel	kernel	NOUN
fcis-15077	75	49	function	function	NOUN
fcis-15077	75	50	in	in	ADP
fcis-15077	75	51	parallel	parallel	NOUN
fcis-15077	75	52	to	to	PART
fcis-15077	75	53	realize	realize	VERB
fcis-15077	75	54	the	the	DET
fcis-15077	75	55	parallel	parallel	ADJ
fcis-15077	75	56	optimization	optimization	NOUN
fcis-15077	75	57	of	of	ADP
fcis-15077	75	58	convolution	convolution	NOUN
fcis-15077	75	59	,	,	PUNCT
fcis-15077	75	60	thus	thus	ADV
fcis-15077	75	61	accelerating	accelerate	VERB
fcis-15077	75	62	the	the	DET
fcis-15077	75	63	training	training	NOUN
fcis-15077	75	64	process	process	NOUN
fcis-15077	75	65	of	of	ADP
fcis-15077	75	66	googlenet	googlenet	NOUN
fcis-15077	75	67	.	.	PUNCT
fcis-15077	76	1	figure	figure	NOUN
fcis-15077	76	2	2	2	NUM
fcis-15077	76	3	shows	show	VERB
fcis-15077	76	4	the	the	DET
fcis-15077	76	5	time	time	NOUN
fcis-15077	76	6	performance	performance	NOUN
fcis-15077	76	7	comparison	comparison	NOUN
fcis-15077	76	8	of	of	ADP
fcis-15077	76	9	inception3a	inception3a	PROPN
fcis-15077	76	10	layer	layer	NOUN
fcis-15077	76	11	in	in	ADP
fcis-15077	76	12	googlenet	googlenet	NOUN
fcis-15077	76	13	.	.	PUNCT
fcis-15077	77	1	it	it	PRON
fcis-15077	77	2	can	can	AUX
fcis-15077	77	3	be	be	AUX
fcis-15077	77	4	seen	see	VERB
fcis-15077	77	5	that	that	SCONJ
fcis-15077	77	6	the	the	DET
fcis-15077	77	7	overall	overall	ADJ
fcis-15077	77	8	running	running	NOUN
fcis-15077	77	9	time	time	NOUN
fcis-15077	77	10	of	of	ADP
fcis-15077	77	11	the	the	DET
fcis-15077	77	12	inception3a	inception3a	PROPN
fcis-15077	77	13	layer	layer	NOUN
fcis-15077	77	14	after	after	SCONJ
fcis-15077	77	15	batch	batch	NOUN
fcis-15077	77	16	processing	processing	NOUN
fcis-15077	77	17	is	be	AUX
fcis-15077	77	18	lower	low	ADJ
fcis-15077	77	19	than	than	ADP
fcis-15077	77	20	that	that	PRON
fcis-15077	77	21	of	of	ADP
fcis-15077	77	22	cudnn	cudnn	NOUN
fcis-15077	77	23	,	,	PUNCT
fcis-15077	77	24	and	and	CCONJ
fcis-15077	77	25	the	the	DET
fcis-15077	77	26	average	average	ADJ
fcis-15077	77	27	performance	performance	NOUN
fcis-15077	77	28	acceleration	acceleration	NOUN
fcis-15077	77	29	is	be	AUX
fcis-15077	77	30	about	about	ADP
fcis-15077	77	31	1.26x	1.26x	NUM
fcis-15077	77	32	.	.	PUNCT
fcis-15077	78	1	figure	figure	NOUN
fcis-15077	78	2	2	2	NUM
fcis-15077	78	3	.	.	PUNCT
fcis-15077	78	4	comparison	comparison	NOUN
fcis-15077	78	5	of	of	ADP
fcis-15077	78	6	time	time	NOUN
fcis-15077	78	7	performance	performance	NOUN
fcis-15077	78	8	of	of	ADP
fcis-15077	78	9	inception3a	inception3a	PROPN
fcis-15077	78	10	layer	layer	NOUN
fcis-15077	78	11	therefore	therefore	ADV
fcis-15077	78	12	,	,	PUNCT
fcis-15077	78	13	experiments	experiment	NOUN
fcis-15077	78	14	show	show	VERB
fcis-15077	78	15	that	that	SCONJ
fcis-15077	78	16	embedding	embed	VERB
fcis-15077	78	17	the	the	DET
fcis-15077	78	18	end	end	ADJ
fcis-15077	78	19	-	-	PUNCT
fcis-15077	78	20	toend	toend	ADJ
fcis-15077	78	21	collaborative	collaborative	ADJ
fcis-15077	78	22	processing	processing	NOUN
fcis-15077	78	23	framework	framework	NOUN
fcis-15077	78	24	into	into	ADP
fcis-15077	78	25	cnn	cnn	PROPN
fcis-15077	78	26	model	model	NOUN
fcis-15077	78	27	can	can	AUX
fcis-15077	78	28	improve	improve	VERB
fcis-15077	78	29	the	the	DET
fcis-15077	78	30	performance	performance	NOUN
fcis-15077	78	31	,	,	PUNCT
fcis-15077	78	32	and	and	CCONJ
fcis-15077	78	33	the	the	DET
fcis-15077	78	34	framework	framework	NOUN
fcis-15077	78	35	proposed	propose	VERB
fcis-15077	78	36	in	in	ADP
fcis-15077	78	37	this	this	DET
fcis-15077	78	38	paper	paper	NOUN
fcis-15077	78	39	has	have	VERB
fcis-15077	78	40	its	its	PRON
fcis-15077	78	41	applicability	applicability	NOUN
fcis-15077	78	42	for	for	ADP
fcis-15077	78	43	networks	network	NOUN
fcis-15077	78	44	with	with	ADP
fcis-15077	78	45	large	large	ADJ
fcis-15077	78	46	convolution	convolution	NOUN
fcis-15077	78	47	operations	operation	NOUN
fcis-15077	78	48	,	,	PUNCT
fcis-15077	78	49	and	and	CCONJ
fcis-15077	78	50	can	can	AUX
fcis-15077	78	51	operate	operate	VERB
fcis-15077	78	52	batch	batch	NOUN
fcis-15077	78	53	matrices	matrix	NOUN
fcis-15077	78	54	.	.	PUNCT
fcis-15077	79	1	the	the	DET
fcis-15077	79	2	experimental	experimental	ADJ
fcis-15077	79	3	results	result	NOUN
fcis-15077	79	4	show	show	VERB
fcis-15077	79	5	that	that	SCONJ
fcis-15077	79	6	the	the	DET
fcis-15077	79	7	proposed	propose	VERB
fcis-15077	79	8	framework	framework	NOUN
fcis-15077	79	9	accelerates	accelerate	VERB
fcis-15077	79	10	the	the	DET
fcis-15077	79	11	performance	performance	NOUN
fcis-15077	79	12	of	of	ADP
fcis-15077	79	13	cnn	cnn	PROPN
fcis-15077	79	14	model	model	NOUN
fcis-15077	79	15	compared	compare	VERB
fcis-15077	79	16	with	with	ADP
fcis-15077	79	17	cudnn	cudnn	NOUN
fcis-15077	79	18	,	,	PUNCT
fcis-15077	79	19	which	which	PRON
fcis-15077	79	20	is	be	AUX
fcis-15077	79	21	of	of	ADP
fcis-15077	79	22	great	great	ADJ
fcis-15077	79	23	significance	significance	NOUN
fcis-15077	79	24	to	to	PART
fcis-15077	79	25	speed	speed	VERB
fcis-15077	79	26	up	up	ADP
fcis-15077	79	27	the	the	DET
fcis-15077	79	28	training	training	NOUN
fcis-15077	79	29	process	process	NOUN
fcis-15077	79	30	of	of	ADP
fcis-15077	79	31	cnn	cnn	PROPN
fcis-15077	79	32	.	.	PUNCT
fcis-15077	80	1	6	6	NUM
fcis-15077	80	2	.	.	X
fcis-15077	80	3	conclusion	conclusion	NOUN
fcis-15077	80	4	by	by	ADP
fcis-15077	80	5	comprehensively	comprehensively	ADV
fcis-15077	80	6	analyzing	analyze	VERB
fcis-15077	80	7	the	the	DET
fcis-15077	80	8	key	key	ADJ
fcis-15077	80	9	elements	element	NOUN
fcis-15077	80	10	of	of	ADP
fcis-15077	80	11	hardware	hardware	NOUN
fcis-15077	80	12	acceleration	acceleration	NOUN
fcis-15077	80	13	optimization	optimization	NOUN
fcis-15077	80	14	,	,	PUNCT
fcis-15077	80	15	including	include	VERB
fcis-15077	80	16	parallel	parallel	ADJ
fcis-15077	80	17	processing	processing	NOUN
fcis-15077	80	18	ability	ability	NOUN
fcis-15077	80	19	,	,	PUNCT
fcis-15077	80	20	energy	energy	NOUN
fcis-15077	80	21	-	-	PUNCT
fcis-15077	80	22	efficient	efficient	ADJ
fcis-15077	80	23	computing	computing	NOUN
fcis-15077	80	24	,	,	PUNCT
fcis-15077	80	25	neural	neural	ADJ
fcis-15077	80	26	network	network	NOUN
fcis-15077	80	27	accelerator	accelerator	NOUN
fcis-15077	80	28	,	,	PUNCT
fcis-15077	80	29	flexibility	flexibility	NOUN
fcis-15077	80	30	and	and	CCONJ
fcis-15077	80	31	programmability	programmability	NOUN
fcis-15077	80	32	,	,	PUNCT
fcis-15077	80	33	high	high	ADJ
fcis-15077	80	34	integration	integration	NOUN
fcis-15077	80	35	and	and	CCONJ
fcis-15077	80	36	heterogeneous	heterogeneous	ADJ
fcis-15077	80	37	computing	computing	NOUN
fcis-15077	80	38	structure	structure	NOUN
fcis-15077	80	39	,	,	PUNCT
fcis-15077	80	40	this	this	DET
fcis-15077	80	41	paper	paper	NOUN
fcis-15077	80	42	deeply	deeply	ADV
fcis-15077	80	43	discusses	discuss	VERB
fcis-15077	80	44	the	the	DET
fcis-15077	80	45	method	method	NOUN
fcis-15077	80	46	and	and	CCONJ
fcis-15077	80	47	practice	practice	NOUN
fcis-15077	80	48	of	of	ADP
fcis-15077	80	49	optimizing	optimize	VERB
fcis-15077	80	50	deep	deep	ADJ
fcis-15077	80	51	learning	learning	NOUN
fcis-15077	80	52	model	model	NOUN
fcis-15077	80	53	on	on	ADP
fcis-15077	80	54	ai	ai	PROPN
fcis-15077	80	55	chip	chip	NOUN
fcis-15077	80	56	.	.	PUNCT
fcis-15077	81	1	the	the	DET
fcis-15077	81	2	design	design	NOUN
fcis-15077	81	3	and	and	CCONJ
fcis-15077	81	4	optimization	optimization	NOUN
fcis-15077	81	5	of	of	ADP
fcis-15077	81	6	neural	neural	ADJ
fcis-15077	81	7	network	network	NOUN
fcis-15077	81	8	accelerator	accelerator	NOUN
fcis-15077	81	9	has	have	AUX
fcis-15077	81	10	become	become	VERB
fcis-15077	81	11	the	the	DET
fcis-15077	81	12	core	core	NOUN
fcis-15077	81	13	of	of	ADP
fcis-15077	81	14	hardware	hardware	NOUN
fcis-15077	81	15	acceleration	acceleration	NOUN
fcis-15077	81	16	.	.	PUNCT
fcis-15077	82	1	through	through	ADP
fcis-15077	82	2	the	the	DET
fcis-15077	82	3	special	special	ADJ
fcis-15077	82	4	hardware	hardware	NOUN
fcis-15077	82	5	structure	structure	NOUN
fcis-15077	82	6	,	,	PUNCT
fcis-15077	82	7	the	the	DET
fcis-15077	82	8	efficient	efficient	ADJ
fcis-15077	82	9	acceleration	acceleration	NOUN
fcis-15077	82	10	of	of	ADP
fcis-15077	82	11	deep	deep	ADJ
fcis-15077	82	12	learning	learning	NOUN
fcis-15077	82	13	calculation	calculation	NOUN
fcis-15077	82	14	such	such	ADJ
fcis-15077	82	15	as	as	ADP
fcis-15077	82	16	convolution	convolution	NOUN
fcis-15077	82	17	and	and	CCONJ
fcis-15077	82	18	matrix	matrix	NOUN
fcis-15077	82	19	operation	operation	NOUN
fcis-15077	82	20	are	be	AUX
fcis-15077	82	21	realized	realize	VERB
fcis-15077	82	22	,	,	PUNCT
fcis-15077	82	23	which	which	PRON
fcis-15077	82	24	provides	provide	VERB
fcis-15077	82	25	strong	strong	ADJ
fcis-15077	82	26	support	support	NOUN
fcis-15077	82	27	for	for	ADP
fcis-15077	82	28	the	the	DET
fcis-15077	82	29	real	real	ADJ
fcis-15077	82	30	-	-	PUNCT
fcis-15077	82	31	time	time	NOUN
fcis-15077	82	32	performance	performance	NOUN
fcis-15077	82	33	of	of	ADP
fcis-15077	82	34	the	the	DET
fcis-15077	82	35	model	model	NOUN
fcis-15077	82	36	.	.	PUNCT
fcis-15077	83	1	through	through	ADP
fcis-15077	83	2	the	the	DET
fcis-15077	83	3	hardware	hardware	NOUN
fcis-15077	83	4	accelerated	accelerate	VERB
fcis-15077	83	5	optimization	optimization	NOUN
fcis-15077	83	6	of	of	ADP
fcis-15077	83	7	deep	deep	ADJ
fcis-15077	83	8	learning	learning	NOUN
fcis-15077	83	9	model	model	NOUN
fcis-15077	83	10	on	on	ADP
fcis-15077	83	11	ai	ai	PROPN
fcis-15077	83	12	chip	chip	NOUN
fcis-15077	83	13	,	,	PUNCT
fcis-15077	83	14	we	we	PRON
fcis-15077	83	15	can	can	AUX
fcis-15077	83	16	not	not	PART
fcis-15077	83	17	only	only	ADV
fcis-15077	83	18	better	well	ADV
fcis-15077	83	19	solve	solve	VERB
fcis-15077	83	20	the	the	DET
fcis-15077	83	21	bottleneck	bottleneck	NOUN
fcis-15077	83	22	problem	problem	NOUN
fcis-15077	83	23	of	of	ADP
fcis-15077	83	24	traditional	traditional	ADJ
fcis-15077	83	25	computing	computing	NOUN
fcis-15077	83	26	platform	platform	NOUN
fcis-15077	83	27	,	,	PUNCT
fcis-15077	83	28	but	but	CCONJ
fcis-15077	83	29	also	also	ADV
fcis-15077	83	30	provide	provide	VERB
fcis-15077	83	31	more	more	ADV
fcis-15077	83	32	powerful	powerful	ADJ
fcis-15077	83	33	and	and	CCONJ
fcis-15077	83	34	efficient	efficient	ADJ
fcis-15077	83	35	computing	computing	NOUN
fcis-15077	83	36	support	support	NOUN
fcis-15077	83	37	for	for	ADP
fcis-15077	83	38	ai	ai	PROPN
fcis-15077	83	39	applications	application	NOUN
fcis-15077	83	40	in	in	ADP
fcis-15077	83	41	emerging	emerge	VERB
fcis-15077	83	42	fields	field	NOUN
fcis-15077	83	43	.	.	PUNCT
fcis-15077	84	1	hardware	hardware	NOUN
fcis-15077	84	2	accelerated	accelerate	VERB
fcis-15077	84	3	optimization	optimization	NOUN
fcis-15077	84	4	on	on	ADP
fcis-15077	84	5	ai	ai	PRON
fcis-15077	84	6	chip	chip	NOUN
fcis-15077	84	7	is	be	AUX
fcis-15077	84	8	one	one	NUM
fcis-15077	84	9	of	of	ADP
fcis-15077	84	10	the	the	DET
fcis-15077	84	11	key	key	ADJ
fcis-15077	84	12	driving	drive	VERB
fcis-15077	84	13	forces	force	NOUN
fcis-15077	84	14	for	for	ADP
fcis-15077	84	15	the	the	DET
fcis-15077	84	16	continuous	continuous	ADJ
fcis-15077	84	17	evolution	evolution	NOUN
fcis-15077	84	18	of	of	ADP
fcis-15077	84	19	deep	deep	ADJ
fcis-15077	84	20	learning	learning	NOUN
fcis-15077	84	21	technology	technology	NOUN
fcis-15077	84	22	.	.	PUNCT
fcis-15077	85	1	through	through	ADP
fcis-15077	85	2	in	in	ADP
fcis-15077	85	3	-	-	PUNCT
fcis-15077	85	4	depth	depth	NOUN
fcis-15077	85	5	research	research	NOUN
fcis-15077	85	6	and	and	CCONJ
fcis-15077	85	7	innovative	innovative	ADJ
fcis-15077	85	8	design	design	NOUN
fcis-15077	85	9	of	of	ADP
fcis-15077	85	10	hardware	hardware	NOUN
fcis-15077	85	11	structure	structure	NOUN
fcis-15077	85	12	,	,	PUNCT
fcis-15077	85	13	we	we	PRON
fcis-15077	85	14	are	be	AUX
fcis-15077	85	15	expected	expect	VERB
fcis-15077	85	16	to	to	PART
fcis-15077	85	17	further	far	ADV
fcis-15077	85	18	promote	promote	VERB
fcis-15077	85	19	the	the	DET
fcis-15077	85	20	development	development	NOUN
fcis-15077	85	21	of	of	ADP
fcis-15077	85	22	ai	ai	PROPN
fcis-15077	85	23	technology	technology	NOUN
fcis-15077	85	24	and	and	CCONJ
fcis-15077	85	25	realize	realize	VERB
fcis-15077	85	26	a	a	DET
fcis-15077	85	27	more	more	ADV
fcis-15077	85	28	intelligent	intelligent	ADJ
fcis-15077	85	29	,	,	PUNCT
fcis-15077	85	30	efficient	efficient	ADJ
fcis-15077	85	31	and	and	CCONJ
fcis-15077	85	32	widely	widely	ADV
fcis-15077	85	33	used	use	VERB
fcis-15077	85	34	ai	ai	NOUN
fcis-15077	85	35	system	system	NOUN
fcis-15077	85	36	.	.	PUNCT
fcis-15077	86	1	references	reference	NOUN
fcis-15077	86	2	[	[	X
fcis-15077	86	3	1	1	NUM
fcis-15077	86	4	]	]	X
fcis-15077	86	5	gupta	gupta	PROPN
fcis-15077	86	6	,	,	PUNCT
fcis-15077	86	7	s.	s.	PROPN
fcis-15077	86	8	,	,	PUNCT
fcis-15077	86	9	nguyen	nguyen	PROPN
fcis-15077	86	10	,	,	PUNCT
fcis-15077	86	11	d.	d.	PROPN
fcis-15077	86	12	,	,	PUNCT
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fcis-15077	88	5	)	)	PUNCT
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fcis-15077	88	8	.	.	PUNCT
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fcis-15077	90	7	by	by	ADP
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fcis-15077	92	11	r.	r.	PROPN
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fcis-15077	92	13	(	(	PUNCT
fcis-15077	92	14	2021	2021	NUM
fcis-15077	92	15	)	)	PUNCT
fcis-15077	92	16	.	.	PUNCT
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fcis-15077	93	2	optimization	optimization	NOUN
fcis-15077	93	3	of	of	ADP
fcis-15077	93	4	curvilinearly	curvilinearly	ADV
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fcis-15077	94	5	)	)	PUNCT
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fcis-15077	94	8	.	.	PUNCT
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fcis-15077	95	7	,	,	PUNCT
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fcis-15077	98	7	,	,	PUNCT
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fcis-15077	98	18	)	)	PUNCT
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fcis-15077	99	5	:	:	PUNCT
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fcis-15077	100	7	16(4	16(4	NUM
fcis-15077	100	8	)	)	PUNCT
fcis-15077	100	9	,	,	PUNCT
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fcis-15077	100	11	.	.	PUNCT
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fcis-15077	101	2	6	6	NUM
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fcis-15077	105	11	evaporative	evaporative	ADJ
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fcis-15077	106	4	)	)	PUNCT
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fcis-15077	109	4	)	)	PUNCT
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fcis-15077	109	6	63	63	NUM
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fcis-15077	109	8	14	14	NUM
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fcis-15077	110	3	]	]	SYM
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fcis-15077	110	9	,	,	PUNCT
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fcis-15077	111	2	:	:	PUNCT
fcis-15077	111	3	an	an	DET
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fcis-15077	112	8	)	)	PUNCT
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fcis-15077	113	3	]	]	X
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fcis-15077	113	6	j.	j.	PROPN
fcis-15077	113	7	,	,	PUNCT
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fcis-15077	113	9	,	,	PUNCT
fcis-15077	113	10	d.	d.	PROPN
fcis-15077	113	11	,	,	PUNCT
fcis-15077	113	12	&	&	CCONJ
fcis-15077	113	13	fan	fan	PROPN
fcis-15077	113	14	,	,	PUNCT
fcis-15077	113	15	d.	d.	PROPN
fcis-15077	113	16	(	(	PUNCT
fcis-15077	113	17	2020	2020	NUM
fcis-15077	113	18	)	)	PUNCT
fcis-15077	113	19	.	.	PUNCT
fcis-15077	114	1	a	a	DET
fcis-15077	114	2	note	note	NOUN
fcis-15077	114	3	on	on	ADP
fcis-15077	114	4	implementation	implementation	NOUN
fcis-15077	114	5	methodologies	methodology	NOUN
fcis-15077	114	6	of	of	ADP
fcis-15077	114	7	deep	deep	ADJ
fcis-15077	114	8	learning	learning	NOUN
fcis-15077	114	9	-	-	PUNCT
fcis-15077	114	10	based	base	VERB
fcis-15077	114	11	signal	signal	NOUN
fcis-15077	114	12	detection	detection	NOUN
fcis-15077	114	13	for	for	ADP
fcis-15077	114	14	conventional	conventional	ADJ
fcis-15077	114	15	mimo	mimo	PROPN
fcis-15077	114	16	transmitters	transmitter	NOUN
fcis-15077	114	17	.	.	PUNCT
fcis-15077	115	1	ieee	ieee	NOUN
fcis-15077	115	2	transactions	transaction	NOUN
fcis-15077	115	3	on	on	ADP
fcis-15077	115	4	broadcasting	broadcasting	NOUN
fcis-15077	115	5	,	,	PUNCT
fcis-15077	115	6	(	(	PUNCT
fcis-15077	115	7	99	99	NUM
fcis-15077	115	8	)	)	PUNCT
fcis-15077	115	9	,	,	PUNCT
fcis-15077	115	10	1	1	NUM
fcis-15077	115	11	-	-	SYM
fcis-15077	115	12	2	2	NUM
fcis-15077	115	13	.	.	PUNCT