id	sid	tid	token	lemma	pos
fcis-14040	1	1	frontiers	frontier	NOUN
fcis-14040	1	2	in	in	ADP
fcis-14040	1	3	computing	computing	NOUN
fcis-14040	1	4	and	and	CCONJ
fcis-14040	1	5	intelligent	intelligent	ADJ
fcis-14040	1	6	systems	system	NOUN
fcis-14040	1	7	issn	issn	VERB
fcis-14040	1	8	:	:	PUNCT
fcis-14040	1	9	2832	2832	NUM
fcis-14040	1	10	-	-	SYM
fcis-14040	1	11	6024	6024	NUM
fcis-14040	1	12	|	|	NOUN
fcis-14040	1	13	vol	vol	NOUN
fcis-14040	1	14	.	.	PROPN
fcis-14040	2	1	5	5	NUM
fcis-14040	2	2	,	,	PUNCT
fcis-14040	2	3	no	no	INTJ
fcis-14040	2	4	.	.	NOUN
fcis-14040	2	5	3	3	NUM
fcis-14040	2	6	,	,	PUNCT
fcis-14040	2	7	2023	2023	NUM
fcis-14040	2	8	146	146	NUM
fcis-14040	2	9	fpga	fpga	PROPN
fcis-14040	2	10	hardware	hardware	NOUN
fcis-14040	2	11	acceleration	acceleration	NOUN
fcis-14040	2	12	research	research	NOUN
fcis-14040	2	13	and	and	CCONJ
fcis-14040	2	14	implementation	implementation	NOUN
fcis-14040	2	15	of	of	ADP
fcis-14040	2	16	deep	deep	ADJ
fcis-14040	2	17	learning	learning	NOUN
fcis-14040	2	18	algorithms	algorithms	PROPN
fcis-14040	2	19	yuxuan	yuxuan	PROPN
fcis-14040	2	20	hu	hu	PROPN
fcis-14040	3	1	*	*	PUNCT
fcis-14040	3	2	school	school	NOUN
fcis-14040	3	3	of	of	ADP
fcis-14040	3	4	electrical	electrical	ADJ
fcis-14040	3	5	engineering	engineering	NOUN
fcis-14040	3	6	,	,	PUNCT
fcis-14040	3	7	chongqing	chongqing	PROPN
fcis-14040	3	8	university	university	NOUN
fcis-14040	3	9	,	,	PUNCT
fcis-14040	3	10	chongqing	chongqe	VERB
fcis-14040	3	11	400444	400444	NUM
fcis-14040	3	12	,	,	PUNCT
fcis-14040	3	13	china	china	PROPN
fcis-14040	3	14	*	*	PUNCT
fcis-14040	3	15	corresponding	correspond	VERB
fcis-14040	3	16	author	author	NOUN
fcis-14040	3	17	email	email	NOUN
fcis-14040	3	18	:	:	PUNCT
fcis-14040	3	19	20193263@cqu.edu.cn	20193263@cqu.edu.cn	NUM
fcis-14040	3	20	abstract	abstract	NOUN
fcis-14040	3	21	:	:	PUNCT
fcis-14040	3	22	the	the	DET
fcis-14040	3	23	convolutional	convolutional	ADJ
fcis-14040	3	24	neural	neural	ADJ
fcis-14040	3	25	network	network	NOUN
fcis-14040	3	26	model	model	NOUN
fcis-14040	3	27	is	be	AUX
fcis-14040	3	28	an	an	DET
fcis-14040	3	29	important	important	ADJ
fcis-14040	3	30	algorithm	algorithm	NOUN
fcis-14040	3	31	for	for	ADP
fcis-14040	3	32	deep	deep	ADJ
fcis-14040	3	33	learning	learning	NOUN
fcis-14040	3	34	,	,	PUNCT
fcis-14040	3	35	and	and	CCONJ
fcis-14040	3	36	yolov3	yolov3	PROPN
fcis-14040	3	37	-	-	ADJ
fcis-14040	3	38	tiny	tiny	ADJ
fcis-14040	3	39	based	base	VERB
fcis-14040	3	40	on	on	ADP
fcis-14040	3	41	this	this	DET
fcis-14040	3	42	model	model	NOUN
fcis-14040	3	43	has	have	VERB
fcis-14040	3	44	excellent	excellent	ADJ
fcis-14040	3	45	object	object	NOUN
fcis-14040	3	46	detection	detection	NOUN
fcis-14040	3	47	ability	ability	NOUN
fcis-14040	3	48	.	.	PUNCT
fcis-14040	4	1	however	however	ADV
fcis-14040	4	2	,	,	PUNCT
fcis-14040	4	3	the	the	DET
fcis-14040	4	4	computational	computational	ADJ
fcis-14040	4	5	power	power	NOUN
fcis-14040	4	6	required	require	VERB
fcis-14040	4	7	by	by	ADP
fcis-14040	4	8	the	the	DET
fcis-14040	4	9	model	model	NOUN
fcis-14040	4	10	is	be	AUX
fcis-14040	4	11	still	still	ADV
fcis-14040	4	12	large	large	ADJ
fcis-14040	4	13	,	,	PUNCT
fcis-14040	4	14	and	and	CCONJ
fcis-14040	4	15	it	it	PRON
fcis-14040	4	16	is	be	AUX
fcis-14040	4	17	difficult	difficult	ADJ
fcis-14040	4	18	to	to	PART
fcis-14040	4	19	realize	realize	VERB
fcis-14040	4	20	the	the	DET
fcis-14040	4	21	application	application	NOUN
fcis-14040	4	22	in	in	ADP
fcis-14040	4	23	the	the	DET
fcis-14040	4	24	embedded	embed	VERB
fcis-14040	4	25	field	field	NOUN
fcis-14040	4	26	.	.	PUNCT
fcis-14040	5	1	this	this	DET
fcis-14040	5	2	paper	paper	NOUN
fcis-14040	5	3	proposes	propose	VERB
fcis-14040	5	4	a	a	DET
fcis-14040	5	5	hardware	hardware	NOUN
fcis-14040	5	6	acceleration	acceleration	NOUN
fcis-14040	5	7	method	method	NOUN
fcis-14040	5	8	for	for	ADP
fcis-14040	5	9	yolov3	yolov3	PROPN
fcis-14040	5	10	-	-	ADJ
fcis-14040	5	11	tiny	tiny	ADJ
fcis-14040	5	12	and	and	CCONJ
fcis-14040	5	13	implements	implement	VERB
fcis-14040	5	14	it	it	PRON
fcis-14040	5	15	on	on	ADP
fcis-14040	5	16	fpga	fpga	PROPN
fcis-14040	5	17	platform	platform	NOUN
fcis-14040	5	18	.	.	PUNCT
fcis-14040	6	1	firstly	firstly	ADV
fcis-14040	6	2	,	,	PUNCT
fcis-14040	6	3	the	the	DET
fcis-14040	6	4	fixed	fix	VERB
fcis-14040	6	5	-	-	PUNCT
fcis-14040	6	6	point	point	NOUN
fcis-14040	6	7	quantitative	quantitative	ADJ
fcis-14040	6	8	processing	processing	NOUN
fcis-14040	6	9	was	be	AUX
fcis-14040	6	10	carried	carry	VERB
fcis-14040	6	11	out	out	ADP
fcis-14040	6	12	for	for	ADP
fcis-14040	6	13	the	the	DET
fcis-14040	6	14	network	network	NOUN
fcis-14040	6	15	,	,	PUNCT
fcis-14040	6	16	and	and	CCONJ
fcis-14040	6	17	an	an	DET
fcis-14040	6	18	appropriate	appropriate	ADJ
fcis-14040	6	19	fixed	fix	VERB
fcis-14040	6	20	-	-	PUNCT
fcis-14040	6	21	point	point	NOUN
fcis-14040	6	22	strategy	strategy	NOUN
fcis-14040	6	23	was	be	AUX
fcis-14040	6	24	designed	design	VERB
fcis-14040	6	25	with	with	ADP
fcis-14040	6	26	the	the	DET
fcis-14040	6	27	data	data	NOUN
fcis-14040	6	28	accuracy	accuracy	NOUN
fcis-14040	6	29	as	as	ADP
fcis-14040	6	30	the	the	DET
fcis-14040	6	31	index	index	NOUN
fcis-14040	6	32	.	.	PUNCT
fcis-14040	7	1	secondly	secondly	ADV
fcis-14040	7	2	,	,	PUNCT
fcis-14040	7	3	the	the	DET
fcis-14040	7	4	parallel	parallel	ADJ
fcis-14040	7	5	computing	computing	NOUN
fcis-14040	7	6	design	design	NOUN
fcis-14040	7	7	and	and	CCONJ
fcis-14040	7	8	pipeline	pipeline	NOUN
fcis-14040	7	9	optimization	optimization	NOUN
fcis-14040	7	10	principle	principle	NOUN
fcis-14040	7	11	were	be	AUX
fcis-14040	7	12	carried	carry	VERB
fcis-14040	7	13	out	out	ADP
fcis-14040	7	14	,	,	PUNCT
fcis-14040	7	15	and	and	CCONJ
fcis-14040	7	16	the	the	DET
fcis-14040	7	17	fifo	fifo	ADJ
fcis-14040	7	18	structure	structure	NOUN
fcis-14040	7	19	was	be	AUX
fcis-14040	7	20	introduced	introduce	VERB
fcis-14040	7	21	to	to	PART
fcis-14040	7	22	shorten	shorten	VERB
fcis-14040	7	23	the	the	DET
fcis-14040	7	24	running	running	ADJ
fcis-14040	7	25	time	time	NOUN
fcis-14040	7	26	.	.	PUNCT
fcis-14040	8	1	finally	finally	ADV
fcis-14040	8	2	,	,	PUNCT
fcis-14040	8	3	the	the	DET
fcis-14040	8	4	experiment	experiment	NOUN
fcis-14040	8	5	was	be	AUX
fcis-14040	8	6	carried	carry	VERB
fcis-14040	8	7	out	out	ADP
fcis-14040	8	8	on	on	ADP
fcis-14040	8	9	the	the	DET
fcis-14040	8	10	xilinx	xilinx	NOUN
fcis-14040	8	11	pynq	pynq	PROPN
fcis-14040	8	12	-	-	PUNCT
fcis-14040	8	13	z2	z2	NOUN
fcis-14040	8	14	platform	platform	NOUN
fcis-14040	8	15	,	,	PUNCT
fcis-14040	8	16	and	and	CCONJ
fcis-14040	8	17	the	the	DET
fcis-14040	8	18	data	datum	NOUN
fcis-14040	8	19	were	be	AUX
fcis-14040	8	20	compared	compare	VERB
fcis-14040	8	21	with	with	ADP
fcis-14040	8	22	the	the	DET
fcis-14040	8	23	previous	previous	ADJ
fcis-14040	8	24	related	related	ADJ
fcis-14040	8	25	work	work	NOUN
fcis-14040	8	26	.	.	PUNCT
fcis-14040	9	1	keywords	keyword	NOUN
fcis-14040	9	2	:	:	PUNCT
fcis-14040	9	3	yolov3	yolov3	ADJ
fcis-14040	9	4	-	-	PUNCT
fcis-14040	9	5	tiny	tiny	ADJ
fcis-14040	9	6	;	;	PUNCT
fcis-14040	9	7	hardware	hardware	NOUN
fcis-14040	9	8	acceleration	acceleration	NOUN
fcis-14040	9	9	;	;	PUNCT
fcis-14040	9	10	fpga	fpga	NOUN
fcis-14040	9	11	;	;	PUNCT
fcis-14040	9	12	convolutional	convolutional	ADJ
fcis-14040	9	13	neural	neural	ADJ
fcis-14040	9	14	network	network	NOUN
fcis-14040	9	15	.	.	PUNCT
fcis-14040	10	1	1	1	X
fcis-14040	10	2	.	.	X
fcis-14040	10	3	introduction	introduction	NOUN
fcis-14040	10	4	with	with	ADP
fcis-14040	10	5	the	the	DET
fcis-14040	10	6	rise	rise	NOUN
fcis-14040	10	7	and	and	CCONJ
fcis-14040	10	8	vigorous	vigorous	ADJ
fcis-14040	10	9	development	development	NOUN
fcis-14040	10	10	of	of	ADP
fcis-14040	10	11	artificial	artificial	ADJ
fcis-14040	10	12	intelligence	intelligence	NOUN
fcis-14040	10	13	today	today	NOUN
fcis-14040	10	14	,	,	PUNCT
fcis-14040	10	15	deep	deep	ADJ
fcis-14040	10	16	learning	learning	NOUN
fcis-14040	10	17	algorithms	algorithm	NOUN
fcis-14040	10	18	have	have	VERB
fcis-14040	10	19	a	a	DET
fcis-14040	10	20	wide	wide	ADJ
fcis-14040	10	21	range	range	NOUN
fcis-14040	10	22	of	of	ADP
fcis-14040	10	23	applications	application	NOUN
fcis-14040	10	24	in	in	ADP
fcis-14040	10	25	real	real	ADJ
fcis-14040	10	26	life	life	NOUN
fcis-14040	10	27	.	.	PUNCT
fcis-14040	11	1	convolutional	convolutional	ADJ
fcis-14040	11	2	neural	neural	ADJ
fcis-14040	11	3	network	network	NOUN
fcis-14040	11	4	(	(	PUNCT
fcis-14040	11	5	cnn	cnn	PROPN
fcis-14040	11	6	)	)	PUNCT
fcis-14040	11	7	is	be	AUX
fcis-14040	11	8	an	an	DET
fcis-14040	11	9	important	important	ADJ
fcis-14040	11	10	algorithm	algorithm	NOUN
fcis-14040	11	11	in	in	ADP
fcis-14040	11	12	deep	deep	ADJ
fcis-14040	11	13	learning	learning	NOUN
fcis-14040	11	14	.	.	PUNCT
fcis-14040	12	1	its	its	PRON
fcis-14040	12	2	model	model	NOUN
fcis-14040	12	3	structure	structure	NOUN
fcis-14040	12	4	has	have	VERB
fcis-14040	12	5	a	a	DET
fcis-14040	12	6	history	history	NOUN
fcis-14040	12	7	of	of	ADP
fcis-14040	12	8	more	more	ADJ
fcis-14040	12	9	than	than	ADP
fcis-14040	12	10	20	20	NUM
fcis-14040	12	11	years	year	NOUN
fcis-14040	12	12	.	.	PUNCT
fcis-14040	13	1	it	it	PRON
fcis-14040	13	2	can	can	AUX
fcis-14040	13	3	learn	learn	VERB
fcis-14040	13	4	the	the	DET
fcis-14040	13	5	rule	rule	NOUN
fcis-14040	13	6	and	and	CCONJ
fcis-14040	13	7	feature	feature	NOUN
fcis-14040	13	8	information	information	NOUN
fcis-14040	13	9	of	of	ADP
fcis-14040	13	10	samples	sample	NOUN
fcis-14040	13	11	from	from	ADP
fcis-14040	13	12	data	datum	NOUN
fcis-14040	13	13	sets	set	NOUN
fcis-14040	13	14	and	and	CCONJ
fcis-14040	13	15	directly	directly	ADV
fcis-14040	13	16	process	process	VERB
fcis-14040	13	17	image	image	NOUN
fcis-14040	13	18	data	datum	NOUN
fcis-14040	13	19	,	,	PUNCT
fcis-14040	13	20	so	so	SCONJ
fcis-14040	13	21	it	it	PRON
fcis-14040	13	22	has	have	VERB
fcis-14040	13	23	good	good	ADJ
fcis-14040	13	24	effects	effect	NOUN
fcis-14040	13	25	and	and	CCONJ
fcis-14040	13	26	is	be	AUX
fcis-14040	13	27	widely	widely	ADV
fcis-14040	13	28	used	use	VERB
fcis-14040	13	29	in	in	ADP
fcis-14040	13	30	computer	computer	NOUN
fcis-14040	13	31	vision	vision	NOUN
fcis-14040	13	32	fields	field	NOUN
fcis-14040	13	33	such	such	ADJ
fcis-14040	13	34	as	as	ADP
fcis-14040	13	35	face	face	NOUN
fcis-14040	13	36	recognition	recognition	NOUN
fcis-14040	13	37	,	,	PUNCT
fcis-14040	13	38	target	target	NOUN
fcis-14040	13	39	detection	detection	NOUN
fcis-14040	13	40	and	and	CCONJ
fcis-14040	13	41	image	image	NOUN
fcis-14040	13	42	discrimination	discrimination	NOUN
fcis-14040	13	43	.	.	PUNCT
fcis-14040	14	1	however	however	ADV
fcis-14040	14	2	,	,	PUNCT
fcis-14040	14	3	with	with	ADP
fcis-14040	14	4	the	the	DET
fcis-14040	14	5	rapid	rapid	ADJ
fcis-14040	14	6	development	development	NOUN
fcis-14040	14	7	of	of	ADP
fcis-14040	14	8	the	the	DET
fcis-14040	14	9	field	field	NOUN
fcis-14040	14	10	of	of	ADP
fcis-14040	14	11	artificial	artificial	ADJ
fcis-14040	14	12	intelligence	intelligence	NOUN
fcis-14040	14	13	,	,	PUNCT
fcis-14040	14	14	the	the	DET
fcis-14040	14	15	complexity	complexity	NOUN
fcis-14040	14	16	of	of	ADP
fcis-14040	14	17	cnn	cnn	PROPN
fcis-14040	14	18	application	application	NOUN
fcis-14040	14	19	scenarios	scenario	NOUN
fcis-14040	14	20	continues	continue	VERB
fcis-14040	14	21	to	to	PART
fcis-14040	14	22	increase	increase	VERB
fcis-14040	14	23	,	,	PUNCT
fcis-14040	14	24	and	and	CCONJ
fcis-14040	14	25	the	the	DET
fcis-14040	14	26	requirements	requirement	NOUN
fcis-14040	14	27	for	for	ADP
fcis-14040	14	28	model	model	NOUN
fcis-14040	14	29	accuracy	accuracy	NOUN
fcis-14040	14	30	are	be	AUX
fcis-14040	14	31	also	also	ADV
fcis-14040	14	32	gradually	gradually	ADV
fcis-14040	14	33	increasing[1	increasing[1	NOUN
fcis-14040	14	34	]	]	PUNCT
fcis-14040	14	35	.	.	PUNCT
fcis-14040	15	1	therefore	therefore	ADV
fcis-14040	15	2	,	,	PUNCT
fcis-14040	15	3	the	the	DET
fcis-14040	15	4	model	model	NOUN
fcis-14040	15	5	size	size	NOUN
fcis-14040	15	6	and	and	CCONJ
fcis-14040	15	7	computational	computational	ADJ
fcis-14040	15	8	complexity	complexity	NOUN
fcis-14040	15	9	of	of	ADP
fcis-14040	15	10	cnn	cnn	PROPN
fcis-14040	15	11	are	be	AUX
fcis-14040	15	12	also	also	ADV
fcis-14040	15	13	increasing	increase	VERB
fcis-14040	15	14	,	,	PUNCT
fcis-14040	15	15	which	which	PRON
fcis-14040	15	16	requires	require	VERB
fcis-14040	15	17	the	the	DET
fcis-14040	15	18	computing	computing	NOUN
fcis-14040	15	19	power	power	NOUN
fcis-14040	15	20	of	of	ADP
fcis-14040	15	21	computing	compute	VERB
fcis-14040	15	22	hardware	hardware	NOUN
fcis-14040	15	23	devices	device	NOUN
fcis-14040	15	24	.	.	PUNCT
fcis-14040	16	1	in	in	ADP
fcis-14040	16	2	the	the	DET
fcis-14040	16	3	face	face	NOUN
fcis-14040	16	4	of	of	ADP
fcis-14040	16	5	large	large	ADJ
fcis-14040	16	6	-	-	PUNCT
fcis-14040	16	7	scale	scale	NOUN
fcis-14040	16	8	convolution	convolution	NOUN
fcis-14040	16	9	calculation	calculation	NOUN
fcis-14040	16	10	,	,	PUNCT
fcis-14040	16	11	the	the	DET
fcis-14040	16	12	traditional	traditional	ADJ
fcis-14040	16	13	central	central	ADJ
fcis-14040	16	14	processing	processing	NOUN
fcis-14040	16	15	unit	unit	NOUN
fcis-14040	16	16	(	(	PUNCT
fcis-14040	16	17	cpu	cpu	NOUN
fcis-14040	16	18	)	)	PUNCT
fcis-14040	16	19	architecture	architecture	NOUN
fcis-14040	16	20	has	have	VERB
fcis-14040	16	21	poor	poor	ADJ
fcis-14040	16	22	parallelism	parallelism	NOUN
fcis-14040	16	23	and	and	CCONJ
fcis-14040	16	24	is	be	AUX
fcis-14040	16	25	not	not	PART
fcis-14040	16	26	suitable	suitable	ADJ
fcis-14040	16	27	for	for	ADP
fcis-14040	16	28	dealing	deal	VERB
fcis-14040	16	29	with	with	ADP
fcis-14040	16	30	large	large	ADJ
fcis-14040	16	31	-	-	PUNCT
fcis-14040	16	32	scale	scale	NOUN
fcis-14040	16	33	matrix	matrix	NOUN
fcis-14040	16	34	operations	operation	NOUN
fcis-14040	16	35	.	.	PUNCT
fcis-14040	17	1	the	the	DET
fcis-14040	17	2	advanced	advanced	ADJ
fcis-14040	17	3	graphics	graphic	NOUN
fcis-14040	17	4	processing	processing	NOUN
fcis-14040	17	5	unit	unit	NOUN
fcis-14040	17	6	(	(	PUNCT
fcis-14040	17	7	gpu	gpu	PROPN
fcis-14040	17	8	)	)	PUNCT
fcis-14040	17	9	has	have	VERB
fcis-14040	17	10	good	good	ADJ
fcis-14040	17	11	parallelism	parallelism	NOUN
fcis-14040	17	12	and	and	CCONJ
fcis-14040	17	13	is	be	AUX
fcis-14040	17	14	suitable	suitable	ADJ
fcis-14040	17	15	for	for	ADP
fcis-14040	17	16	large	large	ADJ
fcis-14040	17	17	-	-	PUNCT
fcis-14040	17	18	scale	scale	NOUN
fcis-14040	17	19	operations	operation	NOUN
fcis-14040	17	20	,	,	PUNCT
fcis-14040	17	21	which	which	PRON
fcis-14040	17	22	is	be	AUX
fcis-14040	17	23	widely	widely	ADV
fcis-14040	17	24	used	use	VERB
fcis-14040	17	25	in	in	ADP
fcis-14040	17	26	the	the	DET
fcis-14040	17	27	training	training	NOUN
fcis-14040	17	28	and	and	CCONJ
fcis-14040	17	29	reasoning	reasoning	NOUN
fcis-14040	17	30	of	of	ADP
fcis-14040	17	31	cnn	cnn	PROPN
fcis-14040	17	32	models	model	NOUN
fcis-14040	17	33	,	,	PUNCT
fcis-14040	17	34	but	but	CCONJ
fcis-14040	17	35	it	it	PRON
fcis-14040	17	36	is	be	AUX
fcis-14040	17	37	expensive	expensive	ADJ
fcis-14040	17	38	and	and	CCONJ
fcis-14040	17	39	has	have	VERB
fcis-14040	17	40	high	high	ADJ
fcis-14040	17	41	power	power	NOUN
fcis-14040	17	42	consumption	consumption	NOUN
fcis-14040	17	43	.	.	PUNCT
fcis-14040	18	1	and	and	CCONJ
fcis-14040	18	2	the	the	DET
fcis-14040	18	3	relatively	relatively	ADV
fcis-14040	18	4	fixed	fix	VERB
fcis-14040	18	5	hardware	hardware	NOUN
fcis-14040	18	6	structure	structure	NOUN
fcis-14040	18	7	is	be	AUX
fcis-14040	18	8	difficult	difficult	ADJ
fcis-14040	18	9	to	to	PART
fcis-14040	18	10	meet	meet	VERB
fcis-14040	18	11	the	the	DET
fcis-14040	18	12	embedded	embed	VERB
fcis-14040	18	13	mobile	mobile	ADJ
fcis-14040	18	14	terminal	terminal	NOUN
fcis-14040	18	15	.	.	PUNCT
fcis-14040	19	1	based	base	VERB
fcis-14040	19	2	on	on	ADP
fcis-14040	19	3	various	various	ADJ
fcis-14040	19	4	limitations	limitation	NOUN
fcis-14040	19	5	,	,	PUNCT
fcis-14040	19	6	field	field	NOUN
fcis-14040	19	7	programmable	programmable	ADJ
fcis-14040	19	8	logic	logic	NOUN
fcis-14040	19	9	gate	gate	NOUN
fcis-14040	19	10	array	array	NOUN
fcis-14040	19	11	(	(	PUNCT
fcis-14040	19	12	fpga	fpga	PROPN
fcis-14040	19	13	)	)	PUNCT
fcis-14040	19	14	,	,	PUNCT
fcis-14040	19	15	a	a	DET
fcis-14040	19	16	semi	semi	ADJ
fcis-14040	19	17	-	-	ADJ
fcis-14040	19	18	custom	custom	ADJ
fcis-14040	19	19	solution	solution	NOUN
fcis-14040	19	20	with	with	ADP
fcis-14040	19	21	strong	strong	ADJ
fcis-14040	19	22	computing	computing	NOUN
fcis-14040	19	23	power	power	NOUN
fcis-14040	19	24	,	,	PUNCT
fcis-14040	19	25	low	low	ADJ
fcis-14040	19	26	power	power	NOUN
fcis-14040	19	27	consumption	consumption	NOUN
fcis-14040	19	28	,	,	PUNCT
fcis-14040	19	29	rich	rich	ADJ
fcis-14040	19	30	logic	logic	NOUN
fcis-14040	19	31	resources	resource	NOUN
fcis-14040	19	32	and	and	CCONJ
fcis-14040	19	33	good	good	ADJ
fcis-14040	19	34	parallelism	parallelism	NOUN
fcis-14040	19	35	,	,	PUNCT
fcis-14040	19	36	is	be	AUX
fcis-14040	19	37	very	very	ADV
fcis-14040	19	38	suitable	suitable	ADJ
fcis-14040	19	39	as	as	ADP
fcis-14040	19	40	a	a	DET
fcis-14040	19	41	hardware	hardware	NOUN
fcis-14040	19	42	platform	platform	NOUN
fcis-14040	19	43	to	to	PART
fcis-14040	19	44	accelerate	accelerate	VERB
fcis-14040	19	45	the	the	DET
fcis-14040	19	46	cnn	cnn	PROPN
fcis-14040	19	47	optimization	optimization	NOUN
fcis-14040	19	48	calculation	calculation	NOUN
fcis-14040	19	49	method	method	NOUN
fcis-14040	19	50	[	[	X
fcis-14040	19	51	2,3	2,3	NUM
fcis-14040	19	52	]	]	PUNCT
fcis-14040	19	53	.	.	PUNCT
fcis-14040	20	1	at	at	ADP
fcis-14040	20	2	present	present	ADJ
fcis-14040	20	3	,	,	PUNCT
fcis-14040	20	4	in	in	ADP
fcis-14040	20	5	the	the	DET
fcis-14040	20	6	field	field	NOUN
fcis-14040	20	7	of	of	ADP
fcis-14040	20	8	object	object	NOUN
fcis-14040	20	9	detection	detection	NOUN
fcis-14040	20	10	,	,	PUNCT
fcis-14040	20	11	the	the	DET
fcis-14040	20	12	yolo	yolo	ADJ
fcis-14040	20	13	algorithm	algorithm	NOUN
fcis-14040	20	14	[	[	X
fcis-14040	20	15	4,5	4,5	X
fcis-14040	20	16	]	]	PUNCT
fcis-14040	20	17	has	have	VERB
fcis-14040	20	18	good	good	ADJ
fcis-14040	20	19	generalization	generalization	NOUN
fcis-14040	20	20	ability	ability	NOUN
fcis-14040	20	21	.	.	PUNCT
fcis-14040	21	1	when	when	SCONJ
fcis-14040	21	2	lowprecision	lowprecision	NOUN
fcis-14040	21	3	data	datum	NOUN
fcis-14040	21	4	is	be	AUX
fcis-14040	21	5	used	use	VERB
fcis-14040	21	6	to	to	PART
fcis-14040	21	7	represent	represent	VERB
fcis-14040	21	8	parameters	parameter	NOUN
fcis-14040	21	9	such	such	ADJ
fcis-14040	21	10	as	as	ADP
fcis-14040	21	11	network	network	NOUN
fcis-14040	21	12	weights	weight	NOUN
fcis-14040	21	13	,	,	PUNCT
fcis-14040	21	14	the	the	DET
fcis-14040	21	15	neural	neural	ADJ
fcis-14040	21	16	network	network	NOUN
fcis-14040	21	17	can	can	AUX
fcis-14040	21	18	still	still	ADV
fcis-14040	21	19	have	have	VERB
fcis-14040	21	20	good	good	ADJ
fcis-14040	21	21	performance	performance	NOUN
fcis-14040	21	22	and	and	CCONJ
fcis-14040	21	23	achieve	achieve	VERB
fcis-14040	21	24	a	a	DET
fcis-14040	21	25	good	good	ADJ
fcis-14040	21	26	balance	balance	NOUN
fcis-14040	21	27	between	between	ADP
fcis-14040	21	28	accuracy	accuracy	NOUN
fcis-14040	21	29	and	and	CCONJ
fcis-14040	21	30	speed	speed	NOUN
fcis-14040	21	31	,	,	PUNCT
fcis-14040	21	32	but	but	CCONJ
fcis-14040	21	33	it	it	PRON
fcis-14040	21	34	still	still	ADV
fcis-14040	21	35	requires	require	VERB
fcis-14040	21	36	large	large	ADJ
fcis-14040	21	37	computing	computing	NOUN
fcis-14040	21	38	power	power	NOUN
fcis-14040	21	39	.	.	PUNCT
fcis-14040	22	1	based	base	VERB
fcis-14040	22	2	on	on	ADP
fcis-14040	22	3	the	the	DET
fcis-14040	22	4	fpga	fpga	PROPN
fcis-14040	22	5	platform	platform	NOUN
fcis-14040	22	6	,	,	PUNCT
fcis-14040	22	7	this	this	DET
fcis-14040	22	8	paper	paper	NOUN
fcis-14040	22	9	designs	design	VERB
fcis-14040	22	10	a	a	DET
fcis-14040	22	11	hardware	hardware	NOUN
fcis-14040	22	12	acceleration	acceleration	NOUN
fcis-14040	22	13	scheme	scheme	NOUN
fcis-14040	22	14	for	for	ADP
fcis-14040	22	15	yolov3	yolov3	PROPN
fcis-14040	22	16	-	-	PUNCT
fcis-14040	22	17	tiny	tiny	ADJ
fcis-14040	22	18	,	,	PUNCT
fcis-14040	22	19	which	which	PRON
fcis-14040	22	20	further	far	ADV
fcis-14040	22	21	optimizes	optimize	VERB
fcis-14040	22	22	the	the	DET
fcis-14040	22	23	computational	computational	ADJ
fcis-14040	22	24	efficiency	efficiency	NOUN
fcis-14040	22	25	of	of	ADP
fcis-14040	22	26	cnn	cnn	PROPN
fcis-14040	22	27	on	on	ADP
fcis-14040	22	28	fpga	fpga	PROPN
fcis-14040	22	29	.	.	PUNCT
fcis-14040	23	1	2	2	NUM
fcis-14040	23	2	.	.	X
fcis-14040	23	3	yolov3	yolov3	ADJ
fcis-14040	23	4	-	-	PUNCT
fcis-14040	23	5	tiny	tiny	ADJ
fcis-14040	23	6	network	network	NOUN
fcis-14040	23	7	and	and	CCONJ
fcis-14040	23	8	hardware	hardware	NOUN
fcis-14040	23	9	acceleration	acceleration	NOUN
fcis-14040	23	10	principle	principle	NOUN
fcis-14040	23	11	2.1	2.1	NUM
fcis-14040	23	12	.	.	PUNCT
fcis-14040	24	1	yolov3	yolov3	ADJ
fcis-14040	24	2	-	-	PUNCT
fcis-14040	24	3	tiny	tiny	ADJ
fcis-14040	24	4	network	network	NOUN
fcis-14040	24	5	model	model	NOUN
fcis-14040	24	6	structure	structure	NOUN
fcis-14040	24	7	figure	figure	NOUN
fcis-14040	24	8	1	1	NUM
fcis-14040	24	9	.	.	PUNCT
fcis-14040	25	1	network	network	NOUN
fcis-14040	25	2	structure	structure	NOUN
fcis-14040	25	3	diagram	diagram	NOUN
fcis-14040	25	4	of	of	ADP
fcis-14040	25	5	yolov3	yolov3	PROPN
fcis-14040	25	6	-	-	PUNCT
fcis-14040	25	7	tiny	tiny	ADJ
fcis-14040	25	8	yolov3	yolov3	PROPN
fcis-14040	25	9	-	-	ADJ
fcis-14040	25	10	tiny	tiny	ADJ
fcis-14040	25	11	is	be	AUX
fcis-14040	25	12	a	a	DET
fcis-14040	25	13	simplified	simplified	ADJ
fcis-14040	25	14	version	version	NOUN
fcis-14040	25	15	of	of	ADP
fcis-14040	25	16	yolov3	yolov3	PROPN
fcis-14040	25	17	network	network	PROPN
fcis-14040	25	18	,	,	PUNCT
fcis-14040	25	19	which	which	PRON
fcis-14040	25	20	simplifies	simplify	VERB
fcis-14040	25	21	the	the	DET
fcis-14040	25	22	number	number	NOUN
fcis-14040	25	23	of	of	ADP
fcis-14040	25	24	network	network	NOUN
fcis-14040	25	25	layers	layer	NOUN
fcis-14040	25	26	,	,	PUNCT
fcis-14040	25	27	reduces	reduce	VERB
fcis-14040	25	28	the	the	DET
fcis-14040	25	29	amount	amount	NOUN
fcis-14040	25	30	of	of	ADP
fcis-14040	25	31	calculation	calculation	NOUN
fcis-14040	25	32	,	,	PUNCT
fcis-14040	25	33	and	and	CCONJ
fcis-14040	25	34	obtains	obtain	VERB
fcis-14040	25	35	faster	fast	ADJ
fcis-14040	25	36	calculation	calculation	NOUN
fcis-14040	25	37	speed	speed	NOUN
fcis-14040	25	38	.	.	PUNCT
fcis-14040	26	1	however	however	ADV
fcis-14040	26	2	,	,	PUNCT
fcis-14040	26	3	the	the	DET
fcis-14040	26	4	model	model	NOUN
fcis-14040	26	5	recognition	recognition	NOUN
fcis-14040	26	6	accuracy	accuracy	NOUN
fcis-14040	26	7	is	be	AUX
fcis-14040	26	8	lower	low	ADJ
fcis-14040	26	9	than	than	ADP
fcis-14040	26	10	that	that	PRON
fcis-14040	26	11	of	of	ADP
fcis-14040	26	12	yolov3	yolov3	PROPN
fcis-14040	26	13	,	,	PUNCT
fcis-14040	26	14	which	which	PRON
fcis-14040	26	15	is	be	AUX
fcis-14040	26	16	a	a	DET
fcis-14040	26	17	lightweight	lightweight	ADJ
fcis-14040	26	18	neural	neural	ADJ
fcis-14040	26	19	network	network	NOUN
fcis-14040	26	20	model	model	NOUN
fcis-14040	26	21	.	.	PUNCT
fcis-14040	27	1	yolov3	yolov3	ADJ
fcis-14040	27	2	-	-	PUNCT
fcis-14040	27	3	tiny	tiny	ADJ
fcis-14040	27	4	model	model	NOUN
fcis-14040	27	5	is	be	AUX
fcis-14040	27	6	mainly	mainly	ADV
fcis-14040	27	7	composed	compose	VERB
fcis-14040	27	8	of	of	ADP
fcis-14040	27	9	a	a	DET
fcis-14040	27	10	backbone	backbone	NOUN
fcis-14040	27	11	network	network	NOUN
fcis-14040	27	12	and	and	CCONJ
fcis-14040	27	13	a	a	DET
fcis-14040	27	14	detection	detection	NOUN
fcis-14040	27	15	network	network	NOUN
fcis-14040	27	16	,	,	PUNCT
fcis-14040	27	17	as	as	SCONJ
fcis-14040	27	18	shown	show	VERB
fcis-14040	27	19	in	in	ADP
fcis-14040	27	20	figure	figure	NOUN
fcis-14040	27	21	1	1	NUM
fcis-14040	27	22	,	,	PUNCT
fcis-14040	27	23	where	where	SCONJ
fcis-14040	27	24	the	the	DET
fcis-14040	27	25	backbone	backbone	NOUN
fcis-14040	27	26	network	network	NOUN
fcis-14040	27	27	is	be	AUX
fcis-14040	27	28	composed	compose	VERB
fcis-14040	27	29	of	of	ADP
fcis-14040	27	30	13	13	NUM
fcis-14040	27	31	convolutional	convolutional	ADJ
fcis-14040	27	32	layers	layer	NOUN
fcis-14040	27	33	and	and	CCONJ
fcis-14040	27	34	6	6	NUM
fcis-14040	27	35	max	max	NOUN
fcis-14040	27	36	pooling	pool	VERB
fcis-14040	27	37	layers	layer	NOUN
fcis-14040	27	38	,	,	PUNCT
fcis-14040	27	39	and	and	CCONJ
fcis-14040	27	40	its	its	PRON
fcis-14040	27	41	network	network	NOUN
fcis-14040	27	42	structure	structure	NOUN
fcis-14040	27	43	is	be	AUX
fcis-14040	27	44	shown	show	VERB
fcis-14040	27	45	in	in	ADP
fcis-14040	27	46	figure	figure	NOUN
fcis-14040	27	47	1	1	NUM
fcis-14040	27	48	.	.	PUNCT
fcis-14040	28	1	the	the	DET
fcis-14040	28	2	default	default	NOUN
fcis-14040	28	3	size	size	NOUN
fcis-14040	28	4	of	of	ADP
fcis-14040	28	5	the	the	DET
fcis-14040	28	6	model	model	NOUN
fcis-14040	28	7	feature	feature	NOUN
fcis-14040	28	8	input	input	NOUN
fcis-14040	28	9	image	image	NOUN
fcis-14040	28	10	is	be	AUX
fcis-14040	28	11	416×416	416×416	NUM
fcis-14040	28	12	,	,	PUNCT
fcis-14040	28	13	and	and	CCONJ
fcis-14040	28	14	the	the	DET
fcis-14040	28	15	feature	feature	NOUN
fcis-14040	28	16	of	of	ADP
fcis-14040	28	17	the	the	DET
fcis-14040	28	18	detection	detection	NOUN
fcis-14040	28	19	target	target	NOUN
fcis-14040	28	20	is	be	AUX
fcis-14040	28	21	extracted	extract	VERB
fcis-14040	28	22	through	through	ADP
fcis-14040	28	23	the	the	DET
fcis-14040	28	24	convolution	convolution	NOUN
fcis-14040	28	25	layer	layer	NOUN
fcis-14040	28	26	,	,	PUNCT
fcis-14040	28	27	and	and	CCONJ
fcis-14040	28	28	the	the	DET
fcis-14040	28	29	convolution	convolution	NOUN
fcis-14040	28	30	kernel	kernel	PROPN
fcis-14040	28	31	size	size	NOUN
fcis-14040	28	32	is	be	AUX
fcis-14040	28	33	3×3	3×3	NUM
fcis-14040	28	34	.	.	PUNCT
fcis-14040	29	1	a	a	DET
fcis-14040	29	2	max	max	PROPN
fcis-14040	29	3	-	-	PUNCT
fcis-14040	29	4	pooling	pool	VERB
fcis-14040	29	5	layer	layer	NOUN
fcis-14040	29	6	is	be	AUX
fcis-14040	29	7	connected	connect	VERB
fcis-14040	29	8	after	after	ADP
fcis-14040	29	9	each	each	DET
fcis-14040	29	10	convolutional	convolutional	ADJ
fcis-14040	29	11	layer	layer	NOUN
fcis-14040	29	12	.	.	PUNCT
fcis-14040	30	1	in	in	ADP
fcis-14040	30	2	order	order	NOUN
fcis-14040	30	3	to	to	PART
fcis-14040	30	4	detect	detect	VERB
fcis-14040	30	5	objects	object	NOUN
fcis-14040	30	6	of	of	ADP
fcis-14040	30	7	different	different	ADJ
fcis-14040	30	8	sizes	size	NOUN
fcis-14040	30	9	,	,	PUNCT
fcis-14040	30	10	two	two	NUM
fcis-14040	30	11	resolution	resolution	NOUN
fcis-14040	30	12	feature	feature	NOUN
fcis-14040	30	13	maps	map	NOUN
fcis-14040	30	14	of	of	ADP
fcis-14040	30	15	13×13	13×13	NUM
fcis-14040	30	16	and	and	CCONJ
fcis-14040	30	17	26×26	26×26	NUM
fcis-14040	30	18	are	be	AUX
fcis-14040	30	19	finally	finally	ADV
fcis-14040	30	20	extracted	extract	VERB
fcis-14040	30	21	,	,	PUNCT
fcis-14040	30	22	the	the	DET
fcis-14040	30	23	former	former	ADJ
fcis-14040	30	24	is	be	AUX
fcis-14040	30	25	used	use	VERB
fcis-14040	30	26	to	to	PART
fcis-14040	30	27	extract	extract	VERB
fcis-14040	30	28	features	feature	NOUN
fcis-14040	30	29	of	of	ADP
fcis-14040	30	30	large	large	ADJ
fcis-14040	30	31	objects	object	NOUN
fcis-14040	30	32	,	,	PUNCT
fcis-14040	30	33	and	and	CCONJ
fcis-14040	30	34	the	the	DET
fcis-14040	30	35	latter	latter	ADJ
fcis-14040	30	36	is	be	AUX
fcis-14040	30	37	used	use	VERB
fcis-14040	30	38	to	to	PART
fcis-14040	30	39	detect	detect	VERB
fcis-14040	30	40	small	small	ADJ
fcis-14040	30	41	objects	object	NOUN
fcis-14040	30	42	.	.	PUNCT
fcis-14040	31	1	the	the	DET
fcis-14040	31	2	backbone	backbone	NOUN
fcis-14040	31	3	network	network	NOUN
fcis-14040	31	4	of	of	ADP
fcis-14040	31	5	yolov3	yolov3	PROPN
fcis-14040	31	6	-	-	PUNCT
fcis-14040	31	7	tiny	tiny	ADJ
fcis-14040	31	8	is	be	AUX
fcis-14040	31	9	a	a	DET
fcis-14040	31	10	typical	typical	ADJ
fcis-14040	31	11	cylindrical	cylindrical	ADJ
fcis-14040	31	12	147	147	NUM
fcis-14040	31	13	cnn	cnn	PROPN
fcis-14040	31	14	network	network	NOUN
fcis-14040	31	15	structure	structure	NOUN
fcis-14040	31	16	,	,	PUNCT
fcis-14040	31	17	and	and	CCONJ
fcis-14040	31	18	the	the	DET
fcis-14040	31	19	calculation	calculation	NOUN
fcis-14040	31	20	of	of	ADP
fcis-14040	31	21	convolution	convolution	NOUN
fcis-14040	31	22	and	and	CCONJ
fcis-14040	31	23	pooling	pooling	NOUN
fcis-14040	31	24	is	be	AUX
fcis-14040	31	25	unified	unify	VERB
fcis-14040	31	26	,	,	PUNCT
fcis-14040	31	27	which	which	PRON
fcis-14040	31	28	is	be	AUX
fcis-14040	31	29	convenient	convenient	ADJ
fcis-14040	31	30	for	for	ADP
fcis-14040	31	31	hardware	hardware	NOUN
fcis-14040	31	32	acceleration	acceleration	NOUN
fcis-14040	31	33	.	.	PUNCT
fcis-14040	32	1	detection	detection	NOUN
fcis-14040	32	2	is	be	AUX
fcis-14040	32	3	the	the	DET
fcis-14040	32	4	last	last	ADJ
fcis-14040	32	5	layer	layer	NOUN
fcis-14040	32	6	of	of	ADP
fcis-14040	32	7	the	the	DET
fcis-14040	32	8	network	network	NOUN
fcis-14040	32	9	output	output	NOUN
fcis-14040	32	10	,	,	PUNCT
fcis-14040	32	11	which	which	PRON
fcis-14040	32	12	can	can	AUX
fcis-14040	32	13	output	output	VERB
fcis-14040	32	14	features	feature	NOUN
fcis-14040	32	15	w×h×	w×h×	PROPN
fcis-14040	32	16	(	(	PUNCT
fcis-14040	32	17	4	4	NUM
fcis-14040	32	18	+	+	NOUN
fcis-14040	32	19	1+c	1+c	NUM
fcis-14040	32	20	)	)	PUNCT
fcis-14040	32	21	×b	×b	NOUN
fcis-14040	32	22	,	,	PUNCT
fcis-14040	32	23	where	where	SCONJ
fcis-14040	32	24	w	w	NOUN
fcis-14040	32	25	represents	represent	VERB
fcis-14040	32	26	the	the	DET
fcis-14040	32	27	width	width	NOUN
fcis-14040	32	28	of	of	ADP
fcis-14040	32	29	the	the	DET
fcis-14040	32	30	network	network	NOUN
fcis-14040	32	31	predicted	predict	VERB
fcis-14040	32	32	border	border	NOUN
fcis-14040	32	33	,	,	PUNCT
fcis-14040	32	34	h	h	NOUN
fcis-14040	32	35	represents	represent	VERB
fcis-14040	32	36	the	the	DET
fcis-14040	32	37	height	height	NOUN
fcis-14040	32	38	of	of	ADP
fcis-14040	32	39	the	the	DET
fcis-14040	32	40	network	network	NOUN
fcis-14040	32	41	predicted	predict	VERB
fcis-14040	32	42	border	border	NOUN
fcis-14040	32	43	.	.	PUNCT
fcis-14040	33	1	the	the	DET
fcis-14040	33	2	output	output	NOUN
fcis-14040	33	3	image	image	NOUN
fcis-14040	33	4	is	be	AUX
fcis-14040	33	5	divided	divide	VERB
fcis-14040	33	6	into	into	ADP
fcis-14040	33	7	w×h	w×h	PROPN
fcis-14040	33	8	grids	grid	NOUN
fcis-14040	33	9	,	,	PUNCT
fcis-14040	33	10	and	and	CCONJ
fcis-14040	33	11	each	each	DET
fcis-14040	33	12	grid	grid	NOUN
fcis-14040	33	13	has	have	VERB
fcis-14040	33	14	(	(	PUNCT
fcis-14040	33	15	4	4	NUM
fcis-14040	33	16	+	+	NOUN
fcis-14040	33	17	1+c	1+c	NUM
fcis-14040	33	18	)	)	PUNCT
fcis-14040	33	19	×b	×b	NOUN
fcis-14040	33	20	channels	channel	NOUN
fcis-14040	33	21	,	,	PUNCT
fcis-14040	33	22	where	where	SCONJ
fcis-14040	33	23	c	c	PROPN
fcis-14040	33	24	is	be	AUX
fcis-14040	33	25	the	the	DET
fcis-14040	33	26	category	category	NOUN
fcis-14040	33	27	judgment	judgment	NOUN
fcis-14040	33	28	information	information	NOUN
fcis-14040	33	29	and	and	CCONJ
fcis-14040	33	30	b	b	NOUN
fcis-14040	33	31	is	be	AUX
fcis-14040	33	32	the	the	DET
fcis-14040	33	33	number	number	NOUN
fcis-14040	33	34	of	of	ADP
fcis-14040	33	35	bounding	bounding	NOUN
fcis-14040	33	36	boxes	box	NOUN
fcis-14040	33	37	.	.	PUNCT
fcis-14040	34	1	2.2	2.2	NUM
fcis-14040	34	2	.	.	PUNCT
fcis-14040	34	3	principle	principle	NOUN
fcis-14040	34	4	of	of	ADP
fcis-14040	34	5	fixed	fix	VERB
fcis-14040	34	6	-	-	PUNCT
fcis-14040	34	7	point	point	NOUN
fcis-14040	34	8	number	number	NOUN
fcis-14040	34	9	optimization	optimization	NOUN
fcis-14040	34	10	yolov3	yolov3	PROPN
fcis-14040	34	11	-	-	PUNCT
fcis-14040	34	12	tiny	tiny	ADJ
fcis-14040	34	13	's	's	PART
fcis-14040	34	14	original	original	ADJ
fcis-14040	34	15	weight	weight	NOUN
fcis-14040	34	16	parameter	parameter	NOUN
fcis-14040	34	17	is	be	AUX
fcis-14040	34	18	represented	represent	VERB
fcis-14040	34	19	by	by	ADP
fcis-14040	34	20	32bit	32bit	ADJ
fcis-14040	34	21	floating	float	VERB
fcis-14040	34	22	-	-	PUNCT
fcis-14040	34	23	point	point	NOUN
fcis-14040	34	24	numbers	number	NOUN
fcis-14040	34	25	[	[	X
fcis-14040	34	26	6	6	NUM
fcis-14040	34	27	]	]	PUNCT
fcis-14040	34	28	,	,	PUNCT
fcis-14040	34	29	and	and	CCONJ
fcis-14040	34	30	the	the	DET
fcis-14040	34	31	data	data	NOUN
fcis-14040	34	32	is	be	AUX
fcis-14040	34	33	redundant	redundant	ADJ
fcis-14040	34	34	in	in	ADP
fcis-14040	34	35	parameter	parameter	NOUN
fcis-14040	34	36	accuracy	accuracy	NOUN
fcis-14040	34	37	.	.	PUNCT
fcis-14040	35	1	as	as	ADP
fcis-14040	35	2	a	a	DET
fcis-14040	35	3	numerical	numerical	ADJ
fcis-14040	35	4	expression	expression	NOUN
fcis-14040	35	5	with	with	ADP
fcis-14040	35	6	fixed	fix	VERB
fcis-14040	35	7	decimal	decimal	ADJ
fcis-14040	35	8	point	point	NOUN
fcis-14040	35	9	position	position	NOUN
fcis-14040	35	10	,	,	PUNCT
fcis-14040	35	11	the	the	DET
fcis-14040	35	12	fixed	fix	VERB
fcis-14040	35	13	-	-	PUNCT
fcis-14040	35	14	point	point	NOUN
fcis-14040	35	15	number	number	NOUN
fcis-14040	35	16	is	be	AUX
fcis-14040	35	17	composed	compose	VERB
fcis-14040	35	18	of	of	ADP
fcis-14040	35	19	sign	sign	NOUN
fcis-14040	35	20	bits	bit	NOUN
fcis-14040	35	21	,	,	PUNCT
fcis-14040	35	22	integer	integer	NOUN
fcis-14040	35	23	bits	bit	NOUN
fcis-14040	35	24	and	and	CCONJ
fcis-14040	35	25	decimal	decimal	ADJ
fcis-14040	35	26	places	place	NOUN
fcis-14040	35	27	,	,	PUNCT
fcis-14040	35	28	which	which	PRON
fcis-14040	35	29	is	be	AUX
fcis-14040	35	30	more	more	ADV
fcis-14040	35	31	flexible	flexible	ADJ
fcis-14040	35	32	and	and	CCONJ
fcis-14040	35	33	different	different	ADJ
fcis-14040	35	34	from	from	ADP
fcis-14040	35	35	the	the	DET
fcis-14040	35	36	fixed	fix	VERB
fcis-14040	35	37	value	value	NOUN
fcis-14040	35	38	of	of	ADP
fcis-14040	35	39	floating	float	VERB
fcis-14040	35	40	-	-	PUNCT
fcis-14040	35	41	point	point	NOUN
fcis-14040	35	42	numbers	number	NOUN
fcis-14040	35	43	,	,	PUNCT
fcis-14040	35	44	and	and	CCONJ
fcis-14040	35	45	converts	convert	VERB
fcis-14040	35	46	32bit	32bit	ADJ
fcis-14040	35	47	floating	float	VERB
fcis-14040	35	48	-	-	PUNCT
fcis-14040	35	49	point	point	NOUN
fcis-14040	35	50	numbers	number	NOUN
fcis-14040	35	51	into	into	ADP
fcis-14040	35	52	fixed	fix	VERB
fcis-14040	35	53	-	-	PUNCT
fcis-14040	35	54	point	point	NOUN
fcis-14040	35	55	numbers	number	NOUN
fcis-14040	35	56	with	with	ADP
fcis-14040	35	57	lower	low	ADJ
fcis-14040	35	58	digits	digit	NOUN
fcis-14040	35	59	.	.	PUNCT
fcis-14040	36	1	it	it	PRON
fcis-14040	36	2	has	have	VERB
fcis-14040	36	3	advantages	advantage	NOUN
fcis-14040	36	4	in	in	ADP
fcis-14040	36	5	storage	storage	NOUN
fcis-14040	36	6	and	and	CCONJ
fcis-14040	36	7	calculation	calculation	NOUN
fcis-14040	36	8	,	,	PUNCT
fcis-14040	36	9	and	and	CCONJ
fcis-14040	36	10	the	the	DET
fcis-14040	36	11	utilization	utilization	NOUN
fcis-14040	36	12	efficiency	efficiency	NOUN
fcis-14040	36	13	of	of	ADP
fcis-14040	36	14	computing	compute	VERB
fcis-14040	36	15	resources	resource	NOUN
fcis-14040	36	16	is	be	AUX
fcis-14040	36	17	higher[7	higher[7	NOUN
fcis-14040	36	18	]	]	X
fcis-14040	36	19	.	.	PUNCT
fcis-14040	37	1	at	at	ADP
fcis-14040	37	2	the	the	DET
fcis-14040	37	3	same	same	ADJ
fcis-14040	37	4	time	time	NOUN
fcis-14040	37	5	,	,	PUNCT
fcis-14040	37	6	cnn	cnn	PROPN
fcis-14040	37	7	has	have	VERB
fcis-14040	37	8	a	a	DET
fcis-14040	37	9	strong	strong	ADJ
fcis-14040	37	10	tolerance	tolerance	NOUN
fcis-14040	37	11	for	for	ADP
fcis-14040	37	12	low	low	ADJ
fcis-14040	37	13	precision	precision	NOUN
fcis-14040	37	14	weight	weight	NOUN
fcis-14040	37	15	values	value	NOUN
fcis-14040	37	16	.	.	PUNCT
fcis-14040	38	1	when	when	SCONJ
fcis-14040	38	2	the	the	DET
fcis-14040	38	3	weight	weight	NOUN
fcis-14040	38	4	value	value	NOUN
fcis-14040	38	5	is	be	AUX
fcis-14040	38	6	low	low	ADJ
fcis-14040	38	7	precision	precision	NOUN
fcis-14040	38	8	,	,	PUNCT
fcis-14040	38	9	it	it	PRON
fcis-14040	38	10	has	have	VERB
fcis-14040	38	11	little	little	ADJ
fcis-14040	38	12	impact	impact	NOUN
fcis-14040	38	13	on	on	ADP
fcis-14040	38	14	the	the	DET
fcis-14040	38	15	detection	detection	NOUN
fcis-14040	38	16	accuracy	accuracy	NOUN
fcis-14040	38	17	.	.	PUNCT
fcis-14040	39	1	therefore	therefore	ADV
fcis-14040	39	2	,	,	PUNCT
fcis-14040	39	3	it	it	PRON
fcis-14040	39	4	is	be	AUX
fcis-14040	39	5	a	a	DET
fcis-14040	39	6	better	well	ADJ
fcis-14040	39	7	trade	trade	NOUN
fcis-14040	39	8	-	-	PUNCT
fcis-14040	39	9	off	off	ADP
fcis-14040	39	10	choice	choice	NOUN
fcis-14040	39	11	to	to	PART
fcis-14040	39	12	choose	choose	VERB
fcis-14040	39	13	the	the	DET
fcis-14040	39	14	appropriate	appropriate	ADJ
fcis-14040	39	15	number	number	NOUN
fcis-14040	39	16	of	of	ADP
fcis-14040	39	17	fixed	fix	VERB
fcis-14040	39	18	points	point	NOUN
fcis-14040	39	19	for	for	ADP
fcis-14040	39	20	optimization	optimization	NOUN
fcis-14040	39	21	,	,	PUNCT
fcis-14040	39	22	and	and	CCONJ
fcis-14040	39	23	sacrifice	sacrifice	VERB
fcis-14040	39	24	a	a	DET
fcis-14040	39	25	small	small	ADJ
fcis-14040	39	26	model	model	NOUN
fcis-14040	39	27	accuracy	accuracy	NOUN
fcis-14040	39	28	to	to	PART
fcis-14040	39	29	greatly	greatly	ADV
fcis-14040	39	30	improve	improve	VERB
fcis-14040	39	31	the	the	DET
fcis-14040	39	32	calculation	calculation	NOUN
fcis-14040	39	33	and	and	CCONJ
fcis-14040	39	34	storage	storage	NOUN
fcis-14040	39	35	efficiency	efficiency	NOUN
fcis-14040	39	36	.	.	PUNCT
fcis-14040	40	1	the	the	DET
fcis-14040	40	2	total	total	ADJ
fcis-14040	40	3	bit	bit	NOUN
fcis-14040	40	4	width	width	NOUN
fcis-14040	40	5	of	of	ADP
fcis-14040	40	6	the	the	DET
fcis-14040	40	7	fixed	fix	VERB
fcis-14040	40	8	-	-	PUNCT
fcis-14040	40	9	point	point	NOUN
fcis-14040	40	10	number	number	NOUN
fcis-14040	40	11	is	be	AUX
fcis-14040	40	12	w	w	PROPN
fcis-14040	40	13	,	,	PUNCT
fcis-14040	40	14	the	the	DET
fcis-14040	40	15	bit	bit	NOUN
fcis-14040	40	16	width	width	NOUN
fcis-14040	40	17	of	of	ADP
fcis-14040	40	18	the	the	DET
fcis-14040	40	19	integer	integer	NOUN
fcis-14040	40	20	part	part	NOUN
fcis-14040	40	21	is	be	AUX
fcis-14040	40	22	i	i	PROPN
fcis-14040	40	23	,	,	PUNCT
fcis-14040	40	24	and	and	CCONJ
fcis-14040	40	25	the	the	DET
fcis-14040	40	26	quantization	quantization	NOUN
fcis-14040	40	27	factor	factor	NOUN
fcis-14040	40	28	is	be	AUX
fcis-14040	40	29	(	(	PUNCT
fcis-14040	40	30	wi-1	wi-1	NUM
fcis-14040	40	31	)	)	PUNCT
fcis-14040	40	32	.	.	PUNCT
fcis-14040	41	1	s_float(32	s_float(32	PROPN
fcis-14040	41	2	)	)	PUNCT
fcis-14040	41	3	,	,	PUNCT
fcis-14040	41	4	int(w	int(w	PROPN
fcis-14040	41	5	)	)	PUNCT
fcis-14040	41	6	,	,	PUNCT
fcis-14040	41	7	and	and	CCONJ
fcis-14040	41	8	i_float(32	i_float(32	NOUN
fcis-14040	41	9	)	)	PUNCT
fcis-14040	41	10	are	be	AUX
fcis-14040	41	11	used	use	VERB
fcis-14040	41	12	to	to	PART
fcis-14040	41	13	represent	represent	VERB
fcis-14040	41	14	the	the	DET
fcis-14040	41	15	original	original	ADJ
fcis-14040	41	16	floating	float	VERB
fcis-14040	41	17	-	-	PUNCT
fcis-14040	41	18	point	point	NOUN
fcis-14040	41	19	data	datum	NOUN
fcis-14040	41	20	,	,	PUNCT
fcis-14040	41	21	the	the	DET
fcis-14040	41	22	fixed	fix	VERB
fcis-14040	41	23	-	-	PUNCT
fcis-14040	41	24	point	point	NOUN
fcis-14040	41	25	quantized	quantize	VERB
fcis-14040	41	26	data	datum	NOUN
fcis-14040	41	27	,	,	PUNCT
fcis-14040	41	28	and	and	CCONJ
fcis-14040	41	29	the	the	DET
fcis-14040	41	30	fixed	fix	VERB
fcis-14040	41	31	-	-	PUNCT
fcis-14040	41	32	point	point	NOUN
fcis-14040	41	33	unquantized	unquantized	ADJ
fcis-14040	41	34	data	datum	NOUN
fcis-14040	41	35	,	,	PUNCT
fcis-14040	41	36	respectively	respectively	ADV
fcis-14040	41	37	.	.	PUNCT
fcis-14040	42	1	the	the	DET
fcis-14040	42	2	relationship	relationship	NOUN
fcis-14040	42	3	between	between	ADP
fcis-14040	42	4	the	the	DET
fcis-14040	42	5	three	three	NUM
fcis-14040	42	6	is	be	AUX
fcis-14040	42	7	shown	show	VERB
fcis-14040	42	8	in	in	ADP
fcis-14040	42	9	equation	equation	NOUN
fcis-14040	42	10	(	(	PUNCT
fcis-14040	42	11	1	1	NUM
fcis-14040	42	12	)	)	PUNCT
fcis-14040	42	13	:	:	PUNCT
fcis-14040	42	14	int	int	NOUN
fcis-14040	42	15	w	w	NOUN
fcis-14040	42	16	s_float	s_float	PROPN
fcis-14040	42	17	32	32	NUM
fcis-14040	42	18	2	2	NUM
fcis-14040	42	19	(	(	PUNCT
fcis-14040	42	20	1	1	NUM
fcis-14040	42	21	)	)	PUNCT
fcis-14040	42	22	=	=	NOUN
fcis-14040	42	23	i_float	i_float	X
fcis-14040	42	24	32	32	NUM
fcis-14040	42	25	int	int	NOUN
fcis-14040	42	26	w	w	ADP
fcis-14040	42	27	/2	/2	PROPN
fcis-14040	42	28	(	(	PUNCT
fcis-14040	42	29	2	2	X
fcis-14040	42	30	)	)	PUNCT
fcis-14040	42	31	when	when	SCONJ
fcis-14040	42	32	the	the	DET
fcis-14040	42	33	total	total	ADJ
fcis-14040	42	34	bit	bit	NOUN
fcis-14040	42	35	width	width	ADJ
fcis-14040	42	36	and	and	CCONJ
fcis-14040	42	37	the	the	DET
fcis-14040	42	38	integer	integer	NOUN
fcis-14040	42	39	part	part	NOUN
fcis-14040	42	40	bit	bit	NOUN
fcis-14040	42	41	width	width	ADJ
fcis-14040	42	42	are	be	AUX
fcis-14040	42	43	fixed	fix	VERB
fcis-14040	42	44	,	,	PUNCT
fcis-14040	42	45	the	the	DET
fcis-14040	42	46	above	above	ADJ
fcis-14040	42	47	equation	equation	NOUN
fcis-14040	42	48	can	can	AUX
fcis-14040	42	49	be	be	AUX
fcis-14040	42	50	used	use	VERB
fcis-14040	42	51	for	for	ADP
fcis-14040	42	52	data	datum	NOUN
fcis-14040	42	53	quantization	quantization	NOUN
fcis-14040	42	54	and	and	CCONJ
fcis-14040	42	55	inverse	inverse	NOUN
fcis-14040	42	56	quantization	quantization	NOUN
fcis-14040	42	57	,	,	PUNCT
fcis-14040	42	58	where	where	SCONJ
fcis-14040	42	59	the	the	DET
fcis-14040	42	60	quantization	quantization	NOUN
fcis-14040	42	61	factor	factor	NOUN
fcis-14040	42	62	(	(	PUNCT
fcis-14040	42	63	w	w	NOUN
fcis-14040	42	64	-	-	PUNCT
fcis-14040	42	65	i1	i1	NOUN
fcis-14040	42	66	)	)	PUNCT
fcis-14040	42	67	represents	represent	VERB
fcis-14040	42	68	the	the	DET
fcis-14040	42	69	accuracy	accuracy	NOUN
fcis-14040	42	70	,	,	PUNCT
fcis-14040	42	71	and	and	CCONJ
fcis-14040	42	72	the	the	PRON
fcis-14040	42	73	larger	large	ADJ
fcis-14040	42	74	the	the	DET
fcis-14040	42	75	quantization	quantization	NOUN
fcis-14040	42	76	factor	factor	NOUN
fcis-14040	42	77	,	,	PUNCT
fcis-14040	42	78	the	the	PRON
fcis-14040	42	79	higher	high	ADJ
fcis-14040	42	80	the	the	DET
fcis-14040	42	81	accuracy	accuracy	NOUN
fcis-14040	42	82	of	of	ADP
fcis-14040	42	83	the	the	DET
fcis-14040	42	84	data	datum	NOUN
fcis-14040	42	85	.	.	PUNCT
fcis-14040	43	1	in	in	ADP
fcis-14040	43	2	order	order	NOUN
fcis-14040	43	3	to	to	PART
fcis-14040	43	4	measure	measure	VERB
fcis-14040	43	5	the	the	DET
fcis-14040	43	6	accuracy	accuracy	NOUN
fcis-14040	43	7	of	of	ADP
fcis-14040	43	8	the	the	DET
fcis-14040	43	9	fixed	fix	VERB
fcis-14040	43	10	-	-	PUNCT
fcis-14040	43	11	point	point	NOUN
fcis-14040	43	12	data	datum	NOUN
fcis-14040	43	13	loss	loss	NOUN
fcis-14040	43	14	,	,	PUNCT
fcis-14040	43	15	the	the	DET
fcis-14040	43	16	fixed	fix	VERB
fcis-14040	43	17	-	-	PUNCT
fcis-14040	43	18	point	point	NOUN
fcis-14040	43	19	sample	sample	NOUN
fcis-14040	43	20	data	datum	NOUN
fcis-14040	43	21	is	be	AUX
fcis-14040	43	22	usually	usually	ADV
fcis-14040	43	23	inverse	inverse	NOUN
fcis-14040	43	24	quantized	quantize	VERB
fcis-14040	43	25	and	and	CCONJ
fcis-14040	43	26	compared	compare	VERB
fcis-14040	43	27	with	with	ADP
fcis-14040	43	28	the	the	DET
fcis-14040	43	29	original	original	ADJ
fcis-14040	43	30	sample	sample	NOUN
fcis-14040	43	31	data	datum	NOUN
fcis-14040	43	32	.	.	PUNCT
fcis-14040	44	1	the	the	DET
fcis-14040	44	2	overall	overall	ADJ
fcis-14040	44	3	quantization	quantization	NOUN
fcis-14040	44	4	accuracy	accuracy	NOUN
fcis-14040	44	5	loss	loss	NOUN
fcis-14040	44	6	can	can	AUX
fcis-14040	44	7	be	be	AUX
fcis-14040	44	8	expressed	express	VERB
fcis-14040	44	9	by	by	ADP
fcis-14040	44	10	the	the	DET
fcis-14040	44	11	following	follow	VERB
fcis-14040	44	12	equation	equation	NOUN
fcis-14040	44	13	(	(	PUNCT
fcis-14040	44	14	2	2	NUM
fcis-14040	44	15	)	)	PUNCT
fcis-14040	44	16	loss	loss	NOUN
fcis-14040	44	17	∑	∑	PUNCT
fcis-14040	44	18	_	_	PUNCT
fcis-14040	45	1	_	_	PUNCT
fcis-14040	46	1	∑	∑	PUNCT
fcis-14040	46	2	_	_	PUNCT
fcis-14040	46	3	100	100	NUM
fcis-14040	46	4	%	%	NOUN
fcis-14040	46	5	(	(	PUNCT
fcis-14040	46	6	3	3	NUM
fcis-14040	46	7	)	)	PUNCT
fcis-14040	46	8	where	where	SCONJ
fcis-14040	46	9	n	n	PRON
fcis-14040	46	10	denotes	denote	VERB
fcis-14040	46	11	the	the	DET
fcis-14040	46	12	total	total	ADJ
fcis-14040	46	13	number	number	NOUN
fcis-14040	46	14	of	of	ADP
fcis-14040	46	15	data	datum	NOUN
fcis-14040	46	16	to	to	PART
fcis-14040	46	17	be	be	AUX
fcis-14040	46	18	quantized	quantize	VERB
fcis-14040	46	19	.	.	PUNCT
fcis-14040	47	1	when	when	SCONJ
fcis-14040	47	2	the	the	DET
fcis-14040	47	3	loss	loss	NOUN
fcis-14040	47	4	of	of	ADP
fcis-14040	47	5	accuracy	accuracy	NOUN
fcis-14040	47	6	is	be	AUX
fcis-14040	47	7	within	within	ADP
fcis-14040	47	8	an	an	DET
fcis-14040	47	9	acceptable	acceptable	ADJ
fcis-14040	47	10	range	range	NOUN
fcis-14040	47	11	,	,	PUNCT
fcis-14040	47	12	the	the	DET
fcis-14040	47	13	quantization	quantization	NOUN
fcis-14040	47	14	work	work	NOUN
fcis-14040	47	15	can	can	AUX
fcis-14040	47	16	be	be	AUX
fcis-14040	47	17	completed	complete	VERB
fcis-14040	47	18	,	,	PUNCT
fcis-14040	47	19	and	and	CCONJ
fcis-14040	47	20	the	the	DET
fcis-14040	47	21	fixed	fix	VERB
fcis-14040	47	22	-	-	PUNCT
fcis-14040	47	23	point	point	NOUN
fcis-14040	47	24	data	datum	NOUN
fcis-14040	47	25	can	can	AUX
fcis-14040	47	26	be	be	AUX
fcis-14040	47	27	used	use	VERB
fcis-14040	47	28	for	for	ADP
fcis-14040	47	29	calculation	calculation	NOUN
fcis-14040	47	30	.	.	PUNCT
fcis-14040	48	1	2.3	2.3	NUM
fcis-14040	48	2	.	.	PUNCT
fcis-14040	49	1	principles	principle	NOUN
fcis-14040	49	2	of	of	ADP
fcis-14040	49	3	parallel	parallel	ADJ
fcis-14040	49	4	computing	computing	NOUN
fcis-14040	49	5	and	and	CCONJ
fcis-14040	49	6	pipeline	pipeline	NOUN
fcis-14040	49	7	optimization	optimization	NOUN
fcis-14040	49	8	parallel	parallel	NOUN
fcis-14040	49	9	computing	computing	NOUN
fcis-14040	49	10	design	design	NOUN
fcis-14040	49	11	is	be	AUX
fcis-14040	49	12	the	the	DET
fcis-14040	49	13	key	key	NOUN
fcis-14040	49	14	of	of	ADP
fcis-14040	49	15	hardware	hardware	NOUN
fcis-14040	49	16	acceleration	acceleration	NOUN
fcis-14040	49	17	module	module	NOUN
fcis-14040	49	18	design[8,9	design[8,9	PROPN
fcis-14040	49	19	]	]	PUNCT
fcis-14040	49	20	.	.	PUNCT
fcis-14040	50	1	in	in	ADP
fcis-14040	50	2	order	order	NOUN
fcis-14040	50	3	to	to	PART
fcis-14040	50	4	improve	improve	VERB
fcis-14040	50	5	the	the	DET
fcis-14040	50	6	performance	performance	NOUN
fcis-14040	50	7	of	of	ADP
fcis-14040	50	8	the	the	DET
fcis-14040	50	9	hardware	hardware	NOUN
fcis-14040	50	10	acceleration	acceleration	NOUN
fcis-14040	50	11	module	module	NOUN
fcis-14040	50	12	,	,	PUNCT
fcis-14040	50	13	in	in	ADP
fcis-14040	50	14	the	the	DET
fcis-14040	50	15	acceleration	acceleration	NOUN
fcis-14040	50	16	of	of	ADP
fcis-14040	50	17	convolutional	convolutional	ADJ
fcis-14040	50	18	neural	neural	ADJ
fcis-14040	50	19	network	network	NOUN
fcis-14040	50	20	,	,	PUNCT
fcis-14040	50	21	it	it	PRON
fcis-14040	50	22	is	be	AUX
fcis-14040	50	23	necessary	necessary	ADJ
fcis-14040	50	24	to	to	PART
fcis-14040	50	25	make	make	VERB
fcis-14040	50	26	the	the	DET
fcis-14040	50	27	basic	basic	ADJ
fcis-14040	50	28	computing	compute	VERB
fcis-14040	50	29	units	unit	NOUN
fcis-14040	50	30	calculate	calculate	VERB
fcis-14040	50	31	at	at	ADP
fcis-14040	50	32	the	the	DET
fcis-14040	50	33	same	same	ADJ
fcis-14040	50	34	time	time	NOUN
fcis-14040	50	35	as	as	ADP
fcis-14040	50	36	possible	possible	ADJ
fcis-14040	50	37	,	,	PUNCT
fcis-14040	50	38	while	while	SCONJ
fcis-14040	50	39	taking	take	VERB
fcis-14040	50	40	into	into	ADP
fcis-14040	50	41	account	account	NOUN
fcis-14040	50	42	the	the	DET
fcis-14040	50	43	resource	resource	NOUN
fcis-14040	50	44	consumption	consumption	NOUN
fcis-14040	50	45	of	of	ADP
fcis-14040	50	46	fpga	fpga	PROPN
fcis-14040	50	47	,	,	PUNCT
fcis-14040	50	48	the	the	DET
fcis-14040	50	49	work	work	NOUN
fcis-14040	50	50	efficiency	efficiency	NOUN
fcis-14040	50	51	of	of	ADP
fcis-14040	50	52	the	the	DET
fcis-14040	50	53	hardware	hardware	NOUN
fcis-14040	50	54	acceleration	acceleration	NOUN
fcis-14040	50	55	module	module	NOUN
fcis-14040	50	56	and	and	CCONJ
fcis-14040	50	57	the	the	DET
fcis-14040	50	58	data	data	NOUN
fcis-14040	50	59	throughput	throughput	NOUN
fcis-14040	50	60	,	,	PUNCT
fcis-14040	50	61	and	and	CCONJ
fcis-14040	50	62	finally	finally	ADV
fcis-14040	50	63	obtain	obtain	VERB
fcis-14040	50	64	the	the	DET
fcis-14040	50	65	result	result	NOUN
fcis-14040	50	66	of	of	ADP
fcis-14040	50	67	the	the	DET
fcis-14040	50	68	trade	trade	NOUN
fcis-14040	50	69	-	-	PUNCT
fcis-14040	50	70	off	off	NOUN
fcis-14040	50	71	between	between	ADP
fcis-14040	50	72	data	datum	NOUN
fcis-14040	50	73	.	.	PUNCT
fcis-14040	51	1	the	the	DET
fcis-14040	51	2	dimensions	dimension	NOUN
fcis-14040	51	3	of	of	ADP
fcis-14040	51	4	parallel	parallel	ADJ
fcis-14040	51	5	computing	computing	NOUN
fcis-14040	51	6	are	be	AUX
fcis-14040	51	7	diverse	diverse	ADJ
fcis-14040	51	8	,	,	PUNCT
fcis-14040	51	9	including	include	VERB
fcis-14040	51	10	interconvolution	interconvolution	NOUN
fcis-14040	51	11	kernel	kernel	PROPN
fcis-14040	51	12	parallelism	parallelism	NOUN
fcis-14040	51	13	,	,	PUNCT
fcis-14040	51	14	inter	inter	ADJ
fcis-14040	51	15	-	-	ADJ
fcis-14040	51	16	feature	feature	ADJ
fcis-14040	51	17	map	map	NOUN
fcis-14040	51	18	parallelism	parallelism	NOUN
fcis-14040	51	19	,	,	PUNCT
fcis-14040	51	20	intra	intra	ADJ
fcis-14040	51	21	-	-	ADJ
fcis-14040	51	22	feature	feature	ADJ
fcis-14040	51	23	map	map	NOUN
fcis-14040	51	24	parallelism	parallelism	NOUN
fcis-14040	51	25	,	,	PUNCT
fcis-14040	51	26	and	and	CCONJ
fcis-14040	51	27	intra	intra	ADJ
fcis-14040	51	28	-	-	ADJ
fcis-14040	51	29	convolution	convolution	ADJ
fcis-14040	51	30	kernel	kernel	NOUN
fcis-14040	51	31	parallelism	parallelism	NOUN
fcis-14040	51	32	.	.	PUNCT
fcis-14040	52	1	the	the	DET
fcis-14040	52	2	size	size	NOUN
fcis-14040	52	3	of	of	ADP
fcis-14040	52	4	the	the	DET
fcis-14040	52	5	convolution	convolution	NOUN
fcis-14040	52	6	kernel	kernel	NOUN
fcis-14040	52	7	in	in	ADP
fcis-14040	52	8	the	the	DET
fcis-14040	52	9	yolov3	yolov3	PROPN
fcis-14040	52	10	-	-	PUNCT
fcis-14040	52	11	tiny	tiny	ADJ
fcis-14040	52	12	backbone	backbone	NOUN
fcis-14040	52	13	network	network	NOUN
fcis-14040	52	14	is	be	AUX
fcis-14040	52	15	3×3	3×3	NUM
fcis-14040	52	16	,	,	PUNCT
fcis-14040	52	17	and	and	CCONJ
fcis-14040	52	18	9	9	NUM
fcis-14040	52	19	multiplications	multiplication	NOUN
fcis-14040	52	20	and	and	CCONJ
fcis-14040	52	21	8	8	NUM
fcis-14040	52	22	addition	addition	NOUN
fcis-14040	52	23	operations	operation	NOUN
fcis-14040	52	24	are	be	AUX
fcis-14040	52	25	needed	need	VERB
fcis-14040	52	26	in	in	ADP
fcis-14040	52	27	the	the	DET
fcis-14040	52	28	calculation	calculation	NOUN
fcis-14040	52	29	process	process	NOUN
fcis-14040	52	30	.	.	PUNCT
fcis-14040	53	1	if	if	SCONJ
fcis-14040	53	2	the	the	DET
fcis-14040	53	3	serial	serial	ADJ
fcis-14040	53	4	execution	execution	NOUN
fcis-14040	53	5	is	be	AUX
fcis-14040	53	6	performed	perform	VERB
fcis-14040	53	7	,	,	PUNCT
fcis-14040	53	8	it	it	PRON
fcis-14040	53	9	needs	need	VERB
fcis-14040	53	10	to	to	PART
fcis-14040	53	11	loop	loop	VERB
fcis-14040	53	12	9	9	NUM
fcis-14040	53	13	times	time	NOUN
fcis-14040	53	14	.	.	PUNCT
fcis-14040	54	1	it	it	PRON
fcis-14040	54	2	greatly	greatly	ADV
fcis-14040	54	3	reduces	reduce	VERB
fcis-14040	54	4	the	the	DET
fcis-14040	54	5	computing	computing	NOUN
fcis-14040	54	6	time	time	NOUN
fcis-14040	54	7	,	,	PUNCT
fcis-14040	54	8	but	but	CCONJ
fcis-14040	54	9	only	only	ADV
fcis-14040	54	10	using	use	VERB
fcis-14040	54	11	unroll	unroll	NOUN
fcis-14040	54	12	consumes	consume	NOUN
fcis-14040	54	13	a	a	DET
fcis-14040	54	14	lot	lot	NOUN
fcis-14040	54	15	of	of	ADP
fcis-14040	54	16	hardware	hardware	NOUN
fcis-14040	54	17	resources	resource	NOUN
fcis-14040	54	18	.	.	PUNCT
fcis-14040	55	1	therefore	therefore	ADV
fcis-14040	55	2	,	,	PUNCT
fcis-14040	55	3	in	in	ADP
fcis-14040	55	4	order	order	NOUN
fcis-14040	55	5	to	to	PART
fcis-14040	55	6	get	get	VERB
fcis-14040	55	7	a	a	DET
fcis-14040	55	8	balance	balance	NOUN
fcis-14040	55	9	between	between	ADP
fcis-14040	55	10	computing	compute	VERB
fcis-14040	55	11	time	time	NOUN
fcis-14040	55	12	and	and	CCONJ
fcis-14040	55	13	hardware	hardware	NOUN
fcis-14040	55	14	resources	resource	NOUN
fcis-14040	55	15	,	,	PUNCT
fcis-14040	55	16	we	we	PRON
fcis-14040	55	17	also	also	ADV
fcis-14040	55	18	introduce	introduce	VERB
fcis-14040	55	19	pipeline	pipeline	NOUN
fcis-14040	55	20	optimization	optimization	NOUN
fcis-14040	55	21	.	.	PUNCT
fcis-14040	56	1	pipelined	pipelined	ADJ
fcis-14040	56	2	structure	structure	NOUN
fcis-14040	56	3	is	be	AUX
fcis-14040	56	4	widely	widely	ADV
fcis-14040	56	5	used	use	VERB
fcis-14040	56	6	in	in	ADP
fcis-14040	56	7	hardware	hardware	NOUN
fcis-14040	56	8	design	design	NOUN
fcis-14040	56	9	.	.	PUNCT
fcis-14040	57	1	by	by	ADP
fcis-14040	57	2	optimizing	optimize	VERB
fcis-14040	57	3	the	the	DET
fcis-14040	57	4	serial	serial	ADJ
fcis-14040	57	5	execution	execution	NOUN
fcis-14040	57	6	of	of	ADP
fcis-14040	57	7	the	the	DET
fcis-14040	57	8	function	function	NOUN
fcis-14040	57	9	through	through	ADP
fcis-14040	57	10	the	the	DET
fcis-14040	57	11	pipeline	pipeline	NOUN
fcis-14040	57	12	,	,	PUNCT
fcis-14040	57	13	it	it	PRON
fcis-14040	57	14	can	can	AUX
fcis-14040	57	15	be	be	AUX
fcis-14040	57	16	parallel	parallel	ADJ
fcis-14040	57	17	in	in	ADP
fcis-14040	57	18	different	different	ADJ
fcis-14040	57	19	stages	stage	NOUN
fcis-14040	57	20	and	and	CCONJ
fcis-14040	57	21	improve	improve	VERB
fcis-14040	57	22	the	the	DET
fcis-14040	57	23	throughput	throughput	NOUN
fcis-14040	57	24	,	,	PUNCT
fcis-14040	57	25	as	as	SCONJ
fcis-14040	57	26	shown	show	VERB
fcis-14040	57	27	in	in	ADP
fcis-14040	57	28	figure	figure	NOUN
fcis-14040	57	29	2	2	NUM
fcis-14040	57	30	.	.	PUNCT
fcis-14040	58	1	by	by	ADP
fcis-14040	58	2	comparison	comparison	NOUN
fcis-14040	58	3	,	,	PUNCT
fcis-14040	58	4	it	it	PRON
fcis-14040	58	5	can	can	AUX
fcis-14040	58	6	be	be	AUX
fcis-14040	58	7	seen	see	VERB
fcis-14040	58	8	that	that	SCONJ
fcis-14040	58	9	for	for	ADP
fcis-14040	58	10	3	3	NUM
fcis-14040	58	11	tasks	task	NOUN
fcis-14040	58	12	,	,	PUNCT
fcis-14040	58	13	the	the	DET
fcis-14040	58	14	serial	serial	ADJ
fcis-14040	58	15	design	design	NOUN
fcis-14040	58	16	takes	take	VERB
fcis-14040	58	17	9	9	NUM
fcis-14040	58	18	clock	clock	NOUN
fcis-14040	58	19	cycles	cycle	NOUN
fcis-14040	58	20	,	,	PUNCT
fcis-14040	58	21	the	the	DET
fcis-14040	58	22	parallel	parallel	ADJ
fcis-14040	58	23	design	design	NOUN
fcis-14040	58	24	takes	take	VERB
fcis-14040	58	25	3	3	NUM
fcis-14040	58	26	clock	clock	NOUN
fcis-14040	58	27	cycles	cycle	NOUN
fcis-14040	58	28	,	,	PUNCT
fcis-14040	58	29	and	and	CCONJ
fcis-14040	58	30	the	the	DET
fcis-14040	58	31	pipelined	pipelined	ADJ
fcis-14040	58	32	design	design	NOUN
fcis-14040	58	33	takes	take	VERB
fcis-14040	58	34	5	5	NUM
fcis-14040	58	35	clock	clock	NOUN
fcis-14040	58	36	cycles	cycle	NOUN
fcis-14040	58	37	.	.	PUNCT
fcis-14040	59	1	compared	compare	VERB
fcis-14040	59	2	to	to	ADP
fcis-14040	59	3	parallel	parallel	ADJ
fcis-14040	59	4	computing	computing	NOUN
fcis-14040	59	5	,	,	PUNCT
fcis-14040	59	6	which	which	PRON
fcis-14040	59	7	requires	require	VERB
fcis-14040	59	8	three	three	NUM
fcis-14040	59	9	times	time	NOUN
fcis-14040	59	10	the	the	DET
fcis-14040	59	11	hardware	hardware	NOUN
fcis-14040	59	12	resources	resource	NOUN
fcis-14040	59	13	,	,	PUNCT
fcis-14040	59	14	pipelining	pipeline	VERB
fcis-14040	59	15	only	only	ADV
fcis-14040	59	16	requires	require	VERB
fcis-14040	59	17	extra	extra	ADJ
fcis-14040	59	18	memory	memory	NOUN
fcis-14040	59	19	units	unit	NOUN
fcis-14040	59	20	and	and	CCONJ
fcis-14040	59	21	registers	register	NOUN
fcis-14040	59	22	.	.	PUNCT
fcis-14040	60	1	figure	figure	NOUN
fcis-14040	60	2	2	2	NUM
fcis-14040	60	3	.	.	X
fcis-14040	60	4	serial	serial	ADJ
fcis-14040	60	5	,	,	PUNCT
fcis-14040	60	6	parallel	parallel	ADJ
fcis-14040	60	7	and	and	CCONJ
fcis-14040	60	8	pipeline	pipeline	NOUN
fcis-14040	60	9	structure	structure	NOUN
fcis-14040	60	10	3	3	NUM
fcis-14040	60	11	.	.	PUNCT
fcis-14040	60	12	hardware	hardware	NOUN
fcis-14040	60	13	acceleration	acceleration	NOUN
fcis-14040	60	14	design	design	NOUN
fcis-14040	60	15	for	for	ADP
fcis-14040	60	16	yolov3	yolov3	PROPN
fcis-14040	60	17	-	-	PUNCT
fcis-14040	60	18	tiny	tiny	ADJ
fcis-14040	60	19	3.1	3.1	NUM
fcis-14040	60	20	.	.	PUNCT
fcis-14040	60	21	fixed	fix	VERB
fcis-14040	60	22	-	-	PUNCT
fcis-14040	60	23	point	point	NOUN
fcis-14040	60	24	quantization	quantization	NOUN
fcis-14040	60	25	the	the	DET
fcis-14040	60	26	original	original	ADJ
fcis-14040	60	27	weight	weight	NOUN
fcis-14040	60	28	parameter	parameter	NOUN
fcis-14040	60	29	of	of	ADP
fcis-14040	60	30	yolov3	yolov3	PROPN
fcis-14040	60	31	-	-	PUNCT
fcis-14040	60	32	tiny	tiny	ADJ
fcis-14040	60	33	is	be	AUX
fcis-14040	60	34	32	32	NUM
fcis-14040	60	35	-	-	PUNCT
fcis-14040	60	36	bit	bit	NOUN
fcis-14040	60	37	floating	float	VERB
fcis-14040	60	38	point	point	NOUN
fcis-14040	60	39	number	number	NOUN
fcis-14040	60	40	,	,	PUNCT
fcis-14040	60	41	so	so	SCONJ
fcis-14040	60	42	this	this	DET
fcis-14040	60	43	paper	paper	NOUN
fcis-14040	60	44	tests	test	VERB
fcis-14040	60	45	the	the	DET
fcis-14040	60	46	accuracy	accuracy	NOUN
fcis-14040	60	47	loss	loss	NOUN
fcis-14040	60	48	of	of	ADP
fcis-14040	60	49	weight	weight	NOUN
fcis-14040	60	50	under	under	ADP
fcis-14040	60	51	different	different	ADJ
fcis-14040	60	52	bit	bit	NOUN
fcis-14040	60	53	width	width	ADJ
fcis-14040	60	54	representation	representation	NOUN
fcis-14040	60	55	by	by	ADP
fcis-14040	60	56	fixed	fix	VERB
fcis-14040	60	57	-	-	PUNCT
fcis-14040	60	58	point	point	NOUN
fcis-14040	60	59	quantization	quantization	NOUN
fcis-14040	60	60	and	and	CCONJ
fcis-14040	60	61	reverse	reverse	ADJ
fcis-14040	60	62	quantization	quantization	NOUN
fcis-14040	60	63	,	,	PUNCT
fcis-14040	60	64	as	as	SCONJ
fcis-14040	60	65	shown	show	VERB
fcis-14040	60	66	in	in	ADP
fcis-14040	60	67	figure	figure	NOUN
fcis-14040	60	68	3	3	NUM
fcis-14040	60	69	.	.	PUNCT
fcis-14040	61	1	it	it	PRON
fcis-14040	61	2	can	can	AUX
fcis-14040	61	3	be	be	AUX
fcis-14040	61	4	seen	see	VERB
fcis-14040	61	5	that	that	SCONJ
fcis-14040	61	6	from	from	ADP
fcis-14040	61	7	the	the	DET
fcis-14040	61	8	use	use	NOUN
fcis-14040	61	9	of	of	ADP
fcis-14040	61	10	8	8	NUM
fcis-14040	61	11	-	-	PUNCT
fcis-14040	61	12	bit	bit	NOUN
fcis-14040	61	13	fixed	fix	VERB
fcis-14040	61	14	-	-	PUNCT
fcis-14040	61	15	point	point	NOUN
fcis-14040	61	16	number	number	NOUN
fcis-14040	61	17	,	,	PUNCT
fcis-14040	61	18	with	with	ADP
fcis-14040	61	19	the	the	DET
fcis-14040	61	20	decrease	decrease	NOUN
fcis-14040	61	21	of	of	ADP
fcis-14040	61	22	bit	bit	NOUN
fcis-14040	61	23	width	width	ADJ
fcis-14040	61	24	,	,	PUNCT
fcis-14040	61	25	the	the	DET
fcis-14040	61	26	accuracy	accuracy	NOUN
fcis-14040	61	27	loss	loss	NOUN
fcis-14040	61	28	is	be	AUX
fcis-14040	61	29	gradually	gradually	ADV
fcis-14040	61	30	obvious	obvious	ADJ
fcis-14040	61	31	.	.	PUNCT
fcis-14040	62	1	considering	consider	VERB
fcis-14040	62	2	the	the	DET
fcis-14040	62	3	unity	unity	NOUN
fcis-14040	62	4	of	of	ADP
fcis-14040	62	5	the	the	DET
fcis-14040	62	6	fixed	fix	VERB
fcis-14040	62	7	-	-	PUNCT
fcis-14040	62	8	point	point	NOUN
fcis-14040	62	9	and	and	CCONJ
fcis-14040	62	10	the	the	DET
fcis-14040	62	11	ability	ability	NOUN
fcis-14040	62	12	of	of	ADP
fcis-14040	62	13	the	the	DET
fcis-14040	62	14	fixed	fix	VERB
fcis-14040	62	15	-	-	PUNCT
fcis-14040	62	16	point	point	NOUN
fcis-14040	62	17	number	number	NOUN
fcis-14040	62	18	to	to	PART
fcis-14040	62	19	cover	cover	VERB
fcis-14040	62	20	the	the	DET
fcis-14040	62	21	data	data	NOUN
fcis-14040	62	22	range	range	NOUN
fcis-14040	62	23	of	of	ADP
fcis-14040	62	24	the	the	DET
fcis-14040	62	25	intermediate	intermediate	ADJ
fcis-14040	62	26	layer	layer	NOUN
fcis-14040	62	27	,	,	PUNCT
fcis-14040	62	28	the	the	DET
fcis-14040	62	29	decline	decline	NOUN
fcis-14040	62	30	of	of	ADP
fcis-14040	62	31	data	datum	NOUN
fcis-14040	62	32	accuracy	accuracy	NOUN
fcis-14040	62	33	caused	cause	VERB
fcis-14040	62	34	by	by	ADP
fcis-14040	62	35	the	the	DET
fcis-14040	62	36	16	16	NUM
fcis-14040	62	37	-	-	PUNCT
fcis-14040	62	38	bit	bit	NOUN
fcis-14040	62	39	fixed	fix	VERB
fcis-14040	62	40	-	-	PUNCT
fcis-14040	62	41	point	point	NOUN
fcis-14040	62	42	number	number	NOUN
fcis-14040	62	43	is	be	AUX
fcis-14040	62	44	small	small	ADJ
fcis-14040	62	45	,	,	PUNCT
fcis-14040	62	46	so	so	SCONJ
fcis-14040	62	47	this	this	DET
fcis-14040	62	48	paper	paper	NOUN
fcis-14040	62	49	uses	use	VERB
fcis-14040	62	50	the	the	DET
fcis-14040	62	51	16	16	NUM
fcis-14040	62	52	-	-	PUNCT
fcis-14040	62	53	bit	bit	NOUN
fcis-14040	62	54	fixed	fix	VERB
fcis-14040	62	55	-	-	PUNCT
fcis-14040	62	56	point	point	NOUN
fcis-14040	62	57	number	number	NOUN
fcis-14040	62	58	as	as	ADP
fcis-14040	62	59	the	the	DET
fcis-14040	62	60	overall	overall	ADJ
fcis-14040	62	61	fixed	fix	VERB
fcis-14040	62	62	-	-	PUNCT
fcis-14040	62	63	point	point	NOUN
fcis-14040	62	64	number	number	NOUN
fcis-14040	62	65	of	of	ADP
fcis-14040	62	66	the	the	DET
fcis-14040	62	67	accelerator	accelerator	NOUN
fcis-14040	62	68	.	.	PUNCT
fcis-14040	63	1	figure	figure	NOUN
fcis-14040	63	2	3	3	NUM
fcis-14040	63	3	.	.	X
fcis-14040	63	4	serial	serial	ADJ
fcis-14040	63	5	,	,	PUNCT
fcis-14040	63	6	parallel	parallel	ADJ
fcis-14040	63	7	and	and	CCONJ
fcis-14040	63	8	pipeline	pipeline	NOUN
fcis-14040	63	9	structure	structure	NOUN
fcis-14040	63	10	3.2	3.2	NUM
fcis-14040	63	11	.	.	PUNCT
fcis-14040	64	1	parallel	parallel	ADJ
fcis-14040	64	2	computing	computing	NOUN
fcis-14040	64	3	design	design	NOUN
fcis-14040	64	4	the	the	DET
fcis-14040	64	5	convolution	convolution	NOUN
fcis-14040	64	6	kernel	kernel	NOUN
fcis-14040	64	7	in	in	ADP
fcis-14040	64	8	yolov3	yolov3	PROPN
fcis-14040	64	9	-	-	ADJ
fcis-14040	64	10	tiny	tiny	ADJ
fcis-14040	64	11	has	have	VERB
fcis-14040	64	12	two	two	NUM
fcis-14040	64	13	sizes	size	NOUN
fcis-14040	64	14	of	of	ADP
fcis-14040	64	15	3×3	3×3	NUM
fcis-14040	64	16	and	and	CCONJ
fcis-14040	64	17	1×1	1×1	NUM
fcis-14040	64	18	,	,	PUNCT
fcis-14040	64	19	which	which	PRON
fcis-14040	64	20	will	will	AUX
fcis-14040	64	21	affect	affect	VERB
fcis-14040	64	22	the	the	DET
fcis-14040	64	23	calculation	calculation	NOUN
fcis-14040	64	24	speed	speed	NOUN
fcis-14040	64	25	in	in	ADP
fcis-14040	64	26	parallel	parallel	ADJ
fcis-14040	64	27	computing	computing	NOUN
fcis-14040	64	28	.	.	PUNCT
fcis-14040	65	1	therefore	therefore	ADV
fcis-14040	65	2	,	,	PUNCT
fcis-14040	65	3	the	the	DET
fcis-14040	65	4	parallel	parallel	ADJ
fcis-14040	65	5	computing	computing	NOUN
fcis-14040	65	6	design	design	NOUN
fcis-14040	65	7	148	148	NUM
fcis-14040	65	8	can	can	AUX
fcis-14040	65	9	be	be	AUX
fcis-14040	65	10	optimized	optimize	VERB
fcis-14040	65	11	for	for	ADP
fcis-14040	65	12	this	this	DET
fcis-14040	65	13	pain	pain	NOUN
fcis-14040	65	14	point	point	NOUN
fcis-14040	65	15	.	.	PUNCT
fcis-14040	66	1	the	the	DET
fcis-14040	66	2	number	number	NOUN
fcis-14040	66	3	of	of	ADP
fcis-14040	66	4	input	input	NOUN
fcis-14040	66	5	and	and	CCONJ
fcis-14040	66	6	output	output	NOUN
fcis-14040	66	7	channels	channel	NOUN
fcis-14040	66	8	is	be	AUX
fcis-14040	66	9	mostly	mostly	ADV
fcis-14040	66	10	multiple	multiple	ADJ
fcis-14040	66	11	of	of	ADP
fcis-14040	66	12	16	16	NUM
fcis-14040	66	13	and	and	CCONJ
fcis-14040	66	14	the	the	DET
fcis-14040	66	15	value	value	NOUN
fcis-14040	66	16	is	be	AUX
fcis-14040	66	17	relatively	relatively	ADV
fcis-14040	66	18	large	large	ADJ
fcis-14040	66	19	,	,	PUNCT
fcis-14040	66	20	and	and	CCONJ
fcis-14040	66	21	the	the	DET
fcis-14040	66	22	output	output	NOUN
fcis-14040	66	23	channel	channel	NOUN
fcis-14040	66	24	is	be	AUX
fcis-14040	66	25	larger	large	ADJ
fcis-14040	66	26	than	than	ADP
fcis-14040	66	27	the	the	DET
fcis-14040	66	28	input	input	NOUN
fcis-14040	66	29	channel	channel	NOUN
fcis-14040	66	30	.	.	PUNCT
fcis-14040	67	1	in	in	ADP
fcis-14040	67	2	order	order	NOUN
fcis-14040	67	3	to	to	PART
fcis-14040	67	4	make	make	VERB
fcis-14040	67	5	full	full	ADJ
fcis-14040	67	6	use	use	NOUN
fcis-14040	67	7	of	of	ADP
fcis-14040	67	8	the	the	DET
fcis-14040	67	9	hardware	hardware	NOUN
fcis-14040	67	10	resources	resource	NOUN
fcis-14040	67	11	,	,	PUNCT
fcis-14040	67	12	the	the	DET
fcis-14040	67	13	input	input	NOUN
fcis-14040	67	14	parallel	parallel	NOUN
fcis-14040	67	15	factor	factor	NOUN
fcis-14040	67	16	is	be	AUX
fcis-14040	67	17	selected	select	VERB
fcis-14040	67	18	as	as	ADP
fcis-14040	67	19	8	8	NUM
fcis-14040	67	20	,	,	PUNCT
fcis-14040	67	21	and	and	CCONJ
fcis-14040	67	22	the	the	DET
fcis-14040	67	23	output	output	NOUN
fcis-14040	67	24	parallel	parallel	NOUN
fcis-14040	67	25	factor	factor	NOUN
fcis-14040	67	26	is	be	AUX
fcis-14040	67	27	16	16	NUM
fcis-14040	67	28	,	,	PUNCT
fcis-14040	67	29	which	which	PRON
fcis-14040	67	30	can	can	AUX
fcis-14040	67	31	obtain	obtain	VERB
fcis-14040	67	32	better	well	ADJ
fcis-14040	67	33	computing	computing	NOUN
fcis-14040	67	34	speed	speed	NOUN
fcis-14040	67	35	,	,	PUNCT
fcis-14040	67	36	as	as	ADV
fcis-14040	67	37	little	little	ADJ
fcis-14040	67	38	as	as	ADP
fcis-14040	67	39	possible	possible	ADJ
fcis-14040	67	40	occupy	occupy	VERB
fcis-14040	67	41	the	the	DET
fcis-14040	67	42	hardware	hardware	NOUN
fcis-14040	67	43	resources	resource	NOUN
fcis-14040	67	44	,	,	PUNCT
fcis-14040	67	45	and	and	CCONJ
fcis-14040	67	46	get	get	VERB
fcis-14040	67	47	a	a	DET
fcis-14040	67	48	better	well	ADJ
fcis-14040	67	49	balance	balance	NOUN
fcis-14040	67	50	between	between	ADP
fcis-14040	67	51	efficiency	efficiency	NOUN
fcis-14040	67	52	and	and	CCONJ
fcis-14040	67	53	resource	resource	NOUN
fcis-14040	67	54	utilization	utilization	NOUN
fcis-14040	67	55	.	.	PUNCT
fcis-14040	68	1	figure	figure	NOUN
fcis-14040	68	2	4	4	NUM
fcis-14040	68	3	.	.	PUNCT
fcis-14040	68	4	temporal	temporal	ADJ
fcis-14040	68	5	comparison	comparison	NOUN
fcis-14040	68	6	of	of	ADP
fcis-14040	68	7	pipelined	pipelined	ADJ
fcis-14040	68	8	structure	structure	NOUN
fcis-14040	68	9	and	and	CCONJ
fcis-14040	68	10	traditional	traditional	ADJ
fcis-14040	68	11	design	design	NOUN
fcis-14040	68	12	in	in	ADP
fcis-14040	68	13	the	the	DET
fcis-14040	68	14	process	process	NOUN
fcis-14040	68	15	of	of	ADP
fcis-14040	68	16	multi	multi	ADJ
fcis-14040	68	17	-	-	ADJ
fcis-14040	68	18	channel	channel	ADJ
fcis-14040	68	19	parallel	parallel	ADJ
fcis-14040	68	20	execution	execution	NOUN
fcis-14040	68	21	,	,	PUNCT
fcis-14040	68	22	the	the	DET
fcis-14040	68	23	operation	operation	NOUN
fcis-14040	68	24	of	of	ADP
fcis-14040	68	25	write	write	NOUN
fcis-14040	68	26	is	be	AUX
fcis-14040	68	27	more	more	ADV
fcis-14040	68	28	frequent	frequent	ADJ
fcis-14040	68	29	than	than	ADP
fcis-14040	68	30	that	that	PRON
fcis-14040	68	31	of	of	ADP
fcis-14040	68	32	read	read	NOUN
fcis-14040	68	33	.	.	PUNCT
fcis-14040	69	1	because	because	SCONJ
fcis-14040	69	2	the	the	DET
fcis-14040	69	3	number	number	NOUN
fcis-14040	69	4	of	of	ADP
fcis-14040	69	5	output	output	NOUN
fcis-14040	69	6	channels	channel	NOUN
fcis-14040	69	7	is	be	AUX
fcis-14040	69	8	often	often	ADV
fcis-14040	69	9	larger	large	ADJ
fcis-14040	69	10	than	than	ADP
fcis-14040	69	11	that	that	PRON
fcis-14040	69	12	of	of	ADP
fcis-14040	69	13	input	input	NOUN
fcis-14040	69	14	channels	channel	NOUN
fcis-14040	69	15	,	,	PUNCT
fcis-14040	69	16	the	the	DET
fcis-14040	69	17	output	output	NOUN
fcis-14040	69	18	port	port	NOUN
fcis-14040	69	19	is	be	AUX
fcis-14040	69	20	prone	prone	ADJ
fcis-14040	69	21	to	to	ADP
fcis-14040	69	22	data	datum	NOUN
fcis-14040	69	23	blockage	blockage	NOUN
fcis-14040	69	24	.	.	PUNCT
fcis-14040	70	1	therefore	therefore	ADV
fcis-14040	70	2	,	,	PUNCT
fcis-14040	70	3	this	this	DET
fcis-14040	70	4	paper	paper	NOUN
fcis-14040	70	5	uses	use	VERB
fcis-14040	70	6	axi4	axi4	NOUN
fcis-14040	70	7	-	-	PUNCT
fcis-14040	70	8	stream	stream	NOUN
fcis-14040	70	9	protocol	protocol	NOUN
fcis-14040	70	10	and	and	CCONJ
fcis-14040	70	11	introduces	introduce	VERB
fcis-14040	70	12	first	first	ADJ
fcis-14040	70	13	-	-	PUNCT
fcis-14040	70	14	in	in	ADP
fcis-14040	70	15	first	first	ADJ
fcis-14040	70	16	-	-	PUNCT
fcis-14040	70	17	out	out	NOUN
fcis-14040	70	18	(	(	PUNCT
fcis-14040	70	19	fifo	fifo	ADJ
fcis-14040	70	20	)	)	PUNCT
fcis-14040	70	21	structure	structure	NOUN
fcis-14040	70	22	to	to	PART
fcis-14040	70	23	optimize	optimize	VERB
fcis-14040	70	24	the	the	DET
fcis-14040	70	25	pipeline	pipeline	NOUN
fcis-14040	70	26	structure	structure	NOUN
fcis-14040	70	27	.	.	PUNCT
fcis-14040	71	1	when	when	SCONJ
fcis-14040	71	2	the	the	DET
fcis-14040	71	3	loop	loop	NOUN
fcis-14040	71	4	initial	initial	ADJ
fcis-14040	71	5	interval(ii	interval(ii	PROPN
fcis-14040	71	6	)	)	PUNCT
fcis-14040	71	7	is	be	AUX
fcis-14040	71	8	1	1	NUM
fcis-14040	71	9	,	,	PUNCT
fcis-14040	71	10	two	two	NUM
fcis-14040	71	11	clock	clock	NOUN
fcis-14040	71	12	cycles	cycle	NOUN
fcis-14040	71	13	are	be	AUX
fcis-14040	71	14	needed	need	VERB
fcis-14040	71	15	to	to	PART
fcis-14040	71	16	obtain	obtain	VERB
fcis-14040	71	17	the	the	DET
fcis-14040	71	18	input	input	NOUN
fcis-14040	71	19	data	datum	NOUN
fcis-14040	71	20	of	of	ADP
fcis-14040	71	21	the	the	DET
fcis-14040	71	22	eight	eight	NUM
fcis-14040	71	23	channels	channel	NOUN
fcis-14040	71	24	.	.	PUNCT
fcis-14040	72	1	when	when	SCONJ
fcis-14040	72	2	the	the	DET
fcis-14040	72	3	new	new	ADJ
fcis-14040	72	4	eight	eight	NUM
fcis-14040	72	5	input	input	NOUN
fcis-14040	72	6	channels	channel	NOUN
fcis-14040	72	7	arrive	arrive	VERB
fcis-14040	72	8	,	,	PUNCT
fcis-14040	72	9	the	the	DET
fcis-14040	72	10	16	16	NUM
fcis-14040	72	11	output	output	NOUN
fcis-14040	72	12	channels	channel	NOUN
fcis-14040	72	13	generated	generate	VERB
fcis-14040	72	14	by	by	ADP
fcis-14040	72	15	the	the	DET
fcis-14040	72	16	previous	previous	ADJ
fcis-14040	72	17	input	input	NOUN
fcis-14040	72	18	are	be	AUX
fcis-14040	72	19	cleared	clear	VERB
fcis-14040	72	20	,	,	PUNCT
fcis-14040	72	21	to	to	PART
fcis-14040	72	22	avoid	avoid	VERB
fcis-14040	72	23	this	this	PRON
fcis-14040	72	24	,	,	PUNCT
fcis-14040	72	25	the	the	DET
fcis-14040	72	26	input	input	NOUN
fcis-14040	72	27	stream	stream	NOUN
fcis-14040	72	28	must	must	AUX
fcis-14040	72	29	pause	pause	VERB
fcis-14040	72	30	for	for	ADP
fcis-14040	72	31	three	three	NUM
fcis-14040	72	32	additional	additional	ADJ
fcis-14040	72	33	cycles	cycle	NOUN
fcis-14040	72	34	to	to	PART
fcis-14040	72	35	complete	complete	VERB
fcis-14040	72	36	a	a	DET
fcis-14040	72	37	full	full	ADJ
fcis-14040	72	38	input	input	NOUN
fcis-14040	72	39	-	-	PUNCT
fcis-14040	72	40	output	output	NOUN
fcis-14040	72	41	operation	operation	NOUN
fcis-14040	72	42	,	,	PUNCT
fcis-14040	72	43	so	so	CCONJ
fcis-14040	72	44	a	a	DET
fcis-14040	72	45	total	total	NOUN
fcis-14040	72	46	of	of	ADP
fcis-14040	72	47	five	five	NUM
fcis-14040	72	48	cycles	cycle	NOUN
fcis-14040	72	49	are	be	AUX
fcis-14040	72	50	required	require	VERB
fcis-14040	72	51	.	.	PUNCT
fcis-14040	73	1	when	when	SCONJ
fcis-14040	73	2	added	add	VERB
fcis-14040	73	3	to	to	ADP
fcis-14040	73	4	the	the	DET
fcis-14040	73	5	fifo	fifo	ADJ
fcis-14040	73	6	structure	structure	NOUN
fcis-14040	73	7	,	,	PUNCT
fcis-14040	73	8	the	the	DET
fcis-14040	73	9	output	output	NOUN
fcis-14040	73	10	data	datum	NOUN
fcis-14040	73	11	is	be	AUX
fcis-14040	73	12	sent	send	VERB
fcis-14040	73	13	one	one	NUM
fcis-14040	73	14	by	by	ADP
fcis-14040	73	15	one	one	NUM
fcis-14040	73	16	,	,	PUNCT
fcis-14040	73	17	so	so	SCONJ
fcis-14040	73	18	that	that	SCONJ
fcis-14040	73	19	the	the	DET
fcis-14040	73	20	input	input	NOUN
fcis-14040	73	21	and	and	CCONJ
fcis-14040	73	22	output	output	NOUN
fcis-14040	73	23	data	datum	NOUN
fcis-14040	73	24	of	of	ADP
fcis-14040	73	25	the	the	DET
fcis-14040	73	26	accelerator	accelerator	NOUN
fcis-14040	73	27	can	can	AUX
fcis-14040	73	28	be	be	AUX
fcis-14040	73	29	pipelined	pipeline	VERB
fcis-14040	73	30	at	at	ADP
fcis-14040	73	31	the	the	DET
fcis-14040	73	32	task	task	NOUN
fcis-14040	73	33	level	level	NOUN
fcis-14040	73	34	.	.	PUNCT
fcis-14040	74	1	figure	figure	NOUN
fcis-14040	74	2	4	4	NUM
fcis-14040	74	3	takes	take	VERB
fcis-14040	74	4	three	three	NUM
fcis-14040	74	5	tasks	task	NOUN
fcis-14040	74	6	as	as	ADP
fcis-14040	74	7	examples	example	NOUN
fcis-14040	74	8	to	to	PART
fcis-14040	74	9	carry	carry	VERB
fcis-14040	74	10	out	out	ADP
fcis-14040	74	11	the	the	DET
fcis-14040	74	12	timing	timing	NOUN
fcis-14040	74	13	comparison	comparison	NOUN
fcis-14040	74	14	between	between	ADP
fcis-14040	74	15	the	the	DET
fcis-14040	74	16	pipelined	pipelined	ADJ
fcis-14040	74	17	structure	structure	NOUN
fcis-14040	74	18	adopted	adopt	VERB
fcis-14040	74	19	in	in	ADP
fcis-14040	74	20	this	this	DET
fcis-14040	74	21	design	design	NOUN
fcis-14040	74	22	and	and	CCONJ
fcis-14040	74	23	the	the	DET
fcis-14040	74	24	traditional	traditional	ADJ
fcis-14040	74	25	design	design	NOUN
fcis-14040	74	26	.	.	PUNCT
fcis-14040	75	1	in	in	ADP
fcis-14040	75	2	figure	figure	NOUN
fcis-14040	75	3	4	4	NUM
fcis-14040	75	4	,	,	PUNCT
fcis-14040	75	5	the	the	DET
fcis-14040	75	6	time	time	NOUN
fcis-14040	75	7	ttask	ttask	NOUN
fcis-14040	75	8	to	to	PART
fcis-14040	75	9	complete	complete	VERB
fcis-14040	75	10	an	an	DET
fcis-14040	75	11	operation	operation	NOUN
fcis-14040	75	12	at	at	ADP
fcis-14040	75	13	the	the	DET
fcis-14040	75	14	task	task	NOUN
fcis-14040	75	15	level	level	NOUN
fcis-14040	75	16	includes	include	VERB
fcis-14040	75	17	the	the	DET
fcis-14040	75	18	time	time	NOUN
fcis-14040	75	19	tin	tin	NOUN
fcis-14040	75	20	to	to	PART
fcis-14040	75	21	read	read	VERB
fcis-14040	75	22	data	datum	NOUN
fcis-14040	75	23	from	from	ADP
fcis-14040	75	24	input	input	NOUN
fcis-14040	75	25	register	register	NOUN
fcis-14040	75	26	,	,	PUNCT
fcis-14040	75	27	the	the	DET
fcis-14040	75	28	time	time	NOUN
fcis-14040	75	29	tout	tout	VERB
fcis-14040	75	30	to	to	PART
fcis-14040	75	31	calculate	calculate	VERB
fcis-14040	75	32	in	in	ADP
fcis-14040	75	33	pe	pe	PROPN
fcis-14040	75	34	and	and	CCONJ
fcis-14040	75	35	the	the	DET
fcis-14040	75	36	time	time	NOUN
fcis-14040	75	37	tcmp	tcmp	PROPN
fcis-14040	75	38	to	to	PART
fcis-14040	75	39	read	read	VERB
fcis-14040	75	40	calculation	calculation	NOUN
fcis-14040	75	41	results	result	NOUN
fcis-14040	75	42	in	in	ADP
fcis-14040	75	43	pe	pe	ADP
fcis-14040	75	44	,	,	PUNCT
fcis-14040	75	45	so	so	ADV
fcis-14040	75	46	the	the	DET
fcis-14040	75	47	total	total	ADJ
fcis-14040	75	48	time	time	NOUN
fcis-14040	75	49	to	to	PART
fcis-14040	75	50	complete	complete	VERB
fcis-14040	75	51	three	three	NUM
fcis-14040	75	52	tasks	task	NOUN
fcis-14040	75	53	under	under	ADP
fcis-14040	75	54	the	the	DET
fcis-14040	75	55	traditional	traditional	ADJ
fcis-14040	75	56	structure	structure	NOUN
fcis-14040	75	57	is	be	AUX
fcis-14040	75	58	t	t	PROPN
fcis-14040	75	59	3	3	NUM
fcis-14040	75	60	t	t	NOUN
fcis-14040	75	61	t	t	PROPN
fcis-14040	75	62	t	t	PROPN
fcis-14040	75	63	(	(	PUNCT
fcis-14040	75	64	4	4	NUM
fcis-14040	75	65	)	)	PUNCT
fcis-14040	75	66	after	after	ADP
fcis-14040	75	67	introducing	introduce	VERB
fcis-14040	75	68	the	the	DET
fcis-14040	75	69	fifo	fifo	ADJ
fcis-14040	75	70	structure	structure	NOUN
fcis-14040	76	1	t	t	PROPN
fcis-14040	76	2	_	_	PUNCT
fcis-14040	77	1	t	t	PROPN
fcis-14040	78	1	3min	3min	PROPN
fcis-14040	78	2	t	t	PROPN
fcis-14040	78	3	,	,	PUNCT
fcis-14040	78	4	t	t	PROPN
fcis-14040	78	5	,	,	PUNCT
fcis-14040	78	6	t	t	PROPN
fcis-14040	78	7	t	t	PROPN
fcis-14040	78	8	t	t	PROPN
fcis-14040	78	9	(	(	PUNCT
fcis-14040	78	10	5	5	NUM
fcis-14040	78	11	)	)	PUNCT
fcis-14040	78	12	greatly	greatly	ADV
fcis-14040	78	13	reduces	reduce	VERB
fcis-14040	78	14	the	the	DET
fcis-14040	78	15	running	running	NOUN
fcis-14040	78	16	time	time	NOUN
fcis-14040	78	17	.	.	PUNCT
fcis-14040	79	1	4	4	X
fcis-14040	79	2	.	.	X
fcis-14040	79	3	experiment	experiment	NOUN
fcis-14040	79	4	and	and	CCONJ
fcis-14040	79	5	comparison	comparison	NOUN
fcis-14040	79	6	4.1	4.1	NUM
fcis-14040	79	7	.	.	PUNCT
fcis-14040	80	1	experimental	experimental	ADJ
fcis-14040	80	2	design	design	NOUN
fcis-14040	80	3	the	the	DET
fcis-14040	80	4	design	design	NOUN
fcis-14040	80	5	mainly	mainly	ADV
fcis-14040	80	6	uses	use	VERB
fcis-14040	80	7	vivado	vivado	NOUN
fcis-14040	80	8	hls	hls	PROPN
fcis-14040	80	9	2017.4	2017.4	NUM
fcis-14040	80	10	to	to	PART
fcis-14040	80	11	design	design	VERB
fcis-14040	80	12	the	the	DET
fcis-14040	80	13	ip	ip	NOUN
fcis-14040	80	14	of	of	ADP
fcis-14040	80	15	yolov3	yolov3	PROPN
fcis-14040	80	16	-	-	PUNCT
fcis-14040	80	17	tiny	tiny	ADJ
fcis-14040	80	18	accelerator	accelerator	NOUN
fcis-14040	80	19	,	,	PUNCT
fcis-14040	80	20	and	and	CCONJ
fcis-14040	80	21	high	high	ADJ
fcis-14040	80	22	level	level	NOUN
fcis-14040	80	23	synthesis	synthesis	NOUN
fcis-14040	80	24	(	(	PUNCT
fcis-14040	80	25	hls	hls	NOUN
fcis-14040	80	26	)	)	PUNCT
fcis-14040	80	27	can	can	AUX
fcis-14040	80	28	convert	convert	VERB
fcis-14040	80	29	c	c	NOUN
fcis-14040	80	30	/c	/c	PUNCT
fcis-14040	81	1	+	+	PUNCT
fcis-14040	81	2	+	+	X
fcis-14040	81	3	language	language	NOUN
fcis-14040	81	4	into	into	ADP
fcis-14040	81	5	rtl	rtl	NOUN
fcis-14040	81	6	language	language	NOUN
fcis-14040	81	7	required	require	VERB
fcis-14040	81	8	by	by	ADP
fcis-14040	81	9	fpga	fpga	PROPN
fcis-14040	81	10	.	.	PUNCT
fcis-14040	82	1	then	then	ADV
fcis-14040	82	2	the	the	DET
fcis-14040	82	3	accelerator	accelerator	NOUN
fcis-14040	82	4	design	design	NOUN
fcis-14040	82	5	of	of	ADP
fcis-14040	82	6	yolov3tiny	yolov3tiny	PROPN
fcis-14040	82	7	was	be	AUX
fcis-14040	82	8	completed	complete	VERB
fcis-14040	82	9	through	through	ADP
fcis-14040	82	10	the	the	DET
fcis-14040	82	11	software	software	NOUN
fcis-14040	82	12	development	development	PROPN
fcis-14040	82	13	kit	kit	PROPN
fcis-14040	82	14	sdk	sdk	PROPN
fcis-14040	82	15	of	of	ADP
fcis-14040	82	16	xilinx	xilinx	PROPN
fcis-14040	82	17	company	company	NOUN
fcis-14040	82	18	.	.	PUNCT
fcis-14040	83	1	the	the	DET
fcis-14040	83	2	experimental	experimental	ADJ
fcis-14040	83	3	verification	verification	NOUN
fcis-14040	83	4	platform	platform	NOUN
fcis-14040	83	5	is	be	AUX
fcis-14040	83	6	xilinx	xilinx	NOUN
fcis-14040	83	7	pynq	pynq	NOUN
fcis-14040	83	8	-	-	PUNCT
fcis-14040	83	9	z2	z2	PROPN
fcis-14040	83	10	.	.	PUNCT
fcis-14040	84	1	the	the	DET
fcis-14040	84	2	development	development	PROPN
fcis-14040	84	3	board	board	PROPN
fcis-14040	84	4	uses	use	VERB
fcis-14040	84	5	fpga+arm	fpga+arm	NOUN
fcis-14040	84	6	architecture	architecture	NOUN
fcis-14040	84	7	,	,	PUNCT
fcis-14040	84	8	and	and	CCONJ
fcis-14040	84	9	the	the	DET
fcis-14040	84	10	main	main	ADJ
fcis-14040	84	11	chip	chip	NOUN
fcis-14040	84	12	is	be	AUX
fcis-14040	84	13	zynq	zynq	PROPN
fcis-14040	84	14	xc7z020	xc7z020	PROPN
fcis-14040	84	15	-	-	PUNCT
fcis-14040	84	16	1clg400c	1clg400c	NUM
fcis-14040	84	17	chip	chip	NOUN
fcis-14040	84	18	,	,	PUNCT
fcis-14040	84	19	including	include	VERB
fcis-14040	84	20	512	512	NUM
fcis-14040	84	21	mb	mb	ADP
fcis-14040	84	22	ddr	ddr	NOUN
fcis-14040	84	23	and	and	CCONJ
fcis-14040	84	24	220	220	NUM
fcis-14040	84	25	dsp	dsp	NOUN
fcis-14040	84	26	.	.	PUNCT
fcis-14040	85	1	4.2	4.2	NUM
fcis-14040	85	2	.	.	PUNCT
fcis-14040	86	1	experimental	experimental	ADJ
fcis-14040	86	2	results	result	NOUN
fcis-14040	86	3	and	and	CCONJ
fcis-14040	86	4	analysis	analysis	NOUN
fcis-14040	86	5	in	in	ADP
fcis-14040	86	6	this	this	DET
fcis-14040	86	7	paper	paper	NOUN
fcis-14040	86	8	,	,	PUNCT
fcis-14040	86	9	the	the	DET
fcis-14040	86	10	comprehensive	comprehensive	ADJ
fcis-14040	86	11	performance	performance	NOUN
fcis-14040	86	12	of	of	ADP
fcis-14040	86	13	the	the	DET
fcis-14040	86	14	system	system	NOUN
fcis-14040	86	15	design	design	NOUN
fcis-14040	86	16	is	be	AUX
fcis-14040	86	17	evaluated	evaluate	VERB
fcis-14040	86	18	and	and	CCONJ
fcis-14040	86	19	compared	compare	VERB
fcis-14040	86	20	with	with	ADP
fcis-14040	86	21	the	the	DET
fcis-14040	86	22	previous	previous	ADJ
fcis-14040	86	23	related	related	ADJ
fcis-14040	86	24	work	work	NOUN
fcis-14040	86	25	with	with	ADP
fcis-14040	86	26	exactly	exactly	ADV
fcis-14040	86	27	the	the	DET
fcis-14040	86	28	same	same	ADJ
fcis-14040	86	29	design	design	NOUN
fcis-14040	86	30	function	function	NOUN
fcis-14040	86	31	,	,	PUNCT
fcis-14040	86	32	as	as	SCONJ
fcis-14040	86	33	shown	show	VERB
fcis-14040	86	34	in	in	ADP
fcis-14040	86	35	table	table	NOUN
fcis-14040	86	36	1	1	NUM
fcis-14040	86	37	.	.	PUNCT
fcis-14040	87	1	through	through	ADP
fcis-14040	87	2	comparison	comparison	NOUN
fcis-14040	87	3	,	,	PUNCT
fcis-14040	87	4	it	it	PRON
fcis-14040	87	5	can	can	AUX
fcis-14040	87	6	be	be	AUX
fcis-14040	87	7	seen	see	VERB
fcis-14040	87	8	that	that	SCONJ
fcis-14040	87	9	the	the	DET
fcis-14040	87	10	design	design	NOUN
fcis-14040	87	11	has	have	VERB
fcis-14040	87	12	a	a	DET
fcis-14040	87	13	good	good	ADJ
fcis-14040	87	14	acceleration	acceleration	NOUN
fcis-14040	87	15	effect	effect	NOUN
fcis-14040	87	16	and	and	CCONJ
fcis-14040	87	17	a	a	DET
fcis-14040	87	18	better	well	ADJ
fcis-14040	87	19	performance	performance	NOUN
fcis-14040	87	20	to	to	ADP
fcis-14040	87	21	power	power	NOUN
fcis-14040	87	22	consumption	consumption	NOUN
fcis-14040	87	23	ratio	ratio	NOUN
fcis-14040	87	24	.	.	PUNCT
fcis-14040	88	1	table	table	NOUN
fcis-14040	88	2	1	1	NUM
fcis-14040	88	3	.	.	PUNCT
fcis-14040	89	1	comprehensive	comprehensive	ADJ
fcis-14040	89	2	comparison	comparison	NOUN
fcis-14040	89	3	of	of	ADP
fcis-14040	89	4	system	system	NOUN
fcis-14040	89	5	design	design	NOUN
fcis-14040	89	6	performance	performance	NOUN
fcis-14040	89	7	performance	performance	NOUN
fcis-14040	89	8	reference	reference	NOUN
fcis-14040	89	9	[	[	X
fcis-14040	89	10	10	10	NUM
fcis-14040	89	11	]	]	X
fcis-14040	89	12	reference	reference	NOUN
fcis-14040	89	13	[	[	X
fcis-14040	89	14	11	11	NUM
fcis-14040	89	15	]	]	PUNCT
fcis-14040	89	16	reference	reference	NOUN
fcis-14040	89	17	[	[	X
fcis-14040	89	18	4	4	X
fcis-14040	89	19	]	]	PUNCT
fcis-14040	89	20	this	this	DET
fcis-14040	89	21	paper	paper	NOUN
fcis-14040	89	22	test	test	NOUN
fcis-14040	89	23	platform	platform	NOUN
fcis-14040	89	24	network	network	NOUN
fcis-14040	89	25	model	model	NOUN
fcis-14040	89	26	pl	pl	PROPN
fcis-14040	89	27	clock	clock	PROPN
fcis-14040	89	28	rate	rate	NOUN
fcis-14040	89	29	bram	bram	PROPN
fcis-14040	89	30	dsp	dsp	PROPN
fcis-14040	89	31	lut	lut	PROPN
fcis-14040	89	32	-	-	PUNCT
fcis-14040	89	33	ff	ff	PROPN
fcis-14040	89	34	input	input	NOUN
fcis-14040	89	35	image	image	NOUN
fcis-14040	89	36	size	size	NOUN
fcis-14040	89	37	performance	performance	NOUN
fcis-14040	89	38	per	per	ADP
fcis-14040	89	39	watt/	watt/	NUM
fcis-14040	89	40	(	(	PUNCT
fcis-14040	89	41	gops	gop	NOUN
fcis-14040	89	42	/	/	SYM
fcis-14040	89	43	w	w	NOUN
fcis-14040	89	44	)	)	PUNCT
fcis-14040	89	45	power	power	NOUN
fcis-14040	89	46	dissipation	dissipation	NOUN
fcis-14040	89	47	/	/	SYM
fcis-14040	89	48	w	w	PROPN
fcis-14040	89	49	vc707	vc707	PROPN
fcis-14040	89	50	yolov2	yolov2	NOUN
fcis-14040	89	51	-	-	PUNCT
fcis-14040	89	52	tiny	tiny	ADJ
fcis-14040	89	53	200	200	NUM
fcis-14040	89	54	mhz	mhz	NOUN
fcis-14040	89	55	1026	1026	NUM
fcis-14040	89	56	168	168	NUM
fcis-14040	89	57	60k-86k	60k-86k	NOUN
fcis-14040	89	58	416	416	NUM
fcis-14040	89	59	416	416	NUM
fcis-14040	89	60	25.41	25.41	NUM
fcis-14040	89	61	18.29	18.29	NUM
fcis-14040	89	62	ultrascale+	ultrascale+	PROPN
fcis-14040	89	63	yolo	yolo	ADJ
fcis-14040	89	64	-	-	PUNCT
fcis-14040	89	65	tiny	tiny	ADJ
fcis-14040	89	66	416	416	NUM
fcis-14040	89	67	416	416	NUM
fcis-14040	89	68	12	12	NUM
fcis-14040	89	69	6	6	NUM
fcis-14040	89	70	gtx	gtx	ADJ
fcis-14040	89	71	tian	tian	ADJ
fcis-14040	89	72	x	x	SYM
fcis-14040	89	73	sim	sim	ADJ
fcis-14040	89	74	-	-	PUNCT
fcis-14040	89	75	yolov2	yolov2	NOUN
fcis-14040	89	76	1ghz	1ghz	NUM
fcis-14040	89	77	416	416	NUM
fcis-14040	89	78	416	416	NUM
fcis-14040	89	79	8.89	8.89	NUM
fcis-14040	89	80	170	170	NUM
fcis-14040	89	81	xc7z020	xc7z020	PROPN
fcis-14040	89	82	yolov3	yolov3	PROPN
fcis-14040	89	83	-	-	PUNCT
fcis-14040	89	84	tiny	tiny	ADJ
fcis-14040	89	85	100	100	NUM
fcis-14040	89	86	mhz	mhz	NOUN
fcis-14040	89	87	185	185	NUM
fcis-14040	89	88	160	160	NUM
fcis-14040	89	89	26k-46k	26k-46k	NOUN
fcis-14040	89	90	416	416	NUM
fcis-14040	89	91	416	416	NUM
fcis-14040	89	92	9.35	9.35	NUM
fcis-14040	89	93	3.8	3.8	NUM
fcis-14040	89	94	5	5	NUM
fcis-14040	89	95	.	.	PUNCT
fcis-14040	89	96	conclusion	conclusion	VERB
fcis-14040	89	97	this	this	DET
fcis-14040	89	98	paper	paper	NOUN
fcis-14040	89	99	studies	study	NOUN
fcis-14040	89	100	the	the	DET
fcis-14040	89	101	acceleration	acceleration	NOUN
fcis-14040	89	102	of	of	ADP
fcis-14040	89	103	deep	deep	ADJ
fcis-14040	89	104	learning	learning	NOUN
fcis-14040	89	105	algorithms	algorithm	NOUN
fcis-14040	89	106	based	base	VERB
fcis-14040	89	107	on	on	ADP
fcis-14040	89	108	fpga	fpga	PROPN
fcis-14040	89	109	.	.	PUNCT
fcis-14040	90	1	taking	take	VERB
fcis-14040	90	2	yolov3	yolov3	PROPN
fcis-14040	90	3	-	-	PUNCT
fcis-14040	90	4	tiny	tiny	ADJ
fcis-14040	90	5	as	as	ADP
fcis-14040	90	6	an	an	DET
fcis-14040	90	7	example	example	NOUN
fcis-14040	90	8	,	,	PUNCT
fcis-14040	90	9	after	after	ADP
fcis-14040	90	10	in	in	ADP
fcis-14040	90	11	-	-	PUNCT
fcis-14040	90	12	depth	depth	NOUN
fcis-14040	90	13	analysis	analysis	NOUN
fcis-14040	90	14	of	of	ADP
fcis-14040	90	15	the	the	DET
fcis-14040	90	16	related	related	ADJ
fcis-14040	90	17	characteristics	characteristic	NOUN
fcis-14040	90	18	of	of	ADP
fcis-14040	90	19	cnn	cnn	PROPN
fcis-14040	90	20	model	model	NOUN
fcis-14040	90	21	,	,	PUNCT
fcis-14040	90	22	a	a	DET
fcis-14040	90	23	fpga	fpga	NOUN
fcis-14040	90	24	-	-	PUNCT
fcis-14040	90	25	based	base	VERB
fcis-14040	90	26	yolov3	yolov3	PROPN
fcis-14040	90	27	-	-	PUNCT
fcis-14040	90	28	tiny	tiny	ADJ
fcis-14040	90	29	hardware	hardware	NOUN
fcis-14040	90	30	acceleration	acceleration	NOUN
fcis-14040	90	31	structure	structure	NOUN
fcis-14040	90	32	is	be	AUX
fcis-14040	90	33	proposed	propose	VERB
fcis-14040	90	34	.	.	PUNCT
fcis-14040	91	1	in	in	ADP
fcis-14040	91	2	this	this	DET
fcis-14040	91	3	paper	paper	NOUN
fcis-14040	91	4	,	,	PUNCT
fcis-14040	91	5	fixed	fix	VERB
fcis-14040	91	6	-	-	PUNCT
fcis-14040	91	7	point	point	NOUN
fcis-14040	91	8	quantization	quantization	NOUN
fcis-14040	91	9	is	be	AUX
fcis-14040	91	10	used	use	VERB
fcis-14040	91	11	to	to	PART
fcis-14040	91	12	reduce	reduce	VERB
fcis-14040	91	13	the	the	DET
fcis-14040	91	14	amount	amount	NOUN
fcis-14040	91	15	of	of	ADP
fcis-14040	91	16	network	network	NOUN
fcis-14040	91	17	calculation	calculation	NOUN
fcis-14040	91	18	and	and	CCONJ
fcis-14040	91	19	data	datum	NOUN
fcis-14040	91	20	storage	storage	NOUN
fcis-14040	91	21	for	for	ADP
fcis-14040	91	22	yolov3	yolov3	PROPN
fcis-14040	91	23	-	-	PUNCT
fcis-14040	91	24	tiny	tiny	ADJ
fcis-14040	91	25	network	network	NOUN
fcis-14040	91	26	parameters	parameter	NOUN
fcis-14040	91	27	.	.	PUNCT
fcis-14040	92	1	the	the	DET
fcis-14040	92	2	data	datum	NOUN
fcis-14040	92	3	is	be	AUX
fcis-14040	92	4	quantized	quantize	VERB
fcis-14040	92	5	from	from	ADP
fcis-14040	92	6	32	32	NUM
fcis-14040	92	7	-	-	PUNCT
fcis-14040	92	8	bit	bit	NOUN
fcis-14040	92	9	floating	float	VERB
fcis-14040	92	10	point	point	NOUN
fcis-14040	92	11	to	to	ADP
fcis-14040	92	12	16	16	NUM
fcis-14040	92	13	-	-	PUNCT
fcis-14040	92	14	bit	bit	NOUN
fcis-14040	92	15	fixed	fix	VERB
fcis-14040	92	16	-	-	PUNCT
fcis-14040	92	17	point	point	NOUN
fcis-14040	92	18	number	number	NOUN
fcis-14040	92	19	,	,	PUNCT
fcis-14040	92	20	which	which	PRON
fcis-14040	92	21	reduces	reduce	VERB
fcis-14040	92	22	the	the	DET
fcis-14040	92	23	amount	amount	NOUN
fcis-14040	92	24	of	of	ADP
fcis-14040	92	25	data	datum	NOUN
fcis-14040	92	26	storage	storage	NOUN
fcis-14040	92	27	and	and	CCONJ
fcis-14040	92	28	calculation	calculation	NOUN
fcis-14040	92	29	,	,	PUNCT
fcis-14040	92	30	and	and	CCONJ
fcis-14040	92	31	the	the	DET
fcis-14040	92	32	network	network	NOUN
fcis-14040	92	33	detection	detection	NOUN
fcis-14040	92	34	accuracy	accuracy	NOUN
fcis-14040	92	35	is	be	AUX
fcis-14040	92	36	basically	basically	ADV
fcis-14040	92	37	unchanged	unchanged	ADJ
fcis-14040	92	38	.	.	PUNCT
fcis-14040	93	1	fifo	fifo	ADJ
fcis-14040	93	2	structure	structure	NOUN
fcis-14040	93	3	is	be	AUX
fcis-14040	93	4	used	use	VERB
fcis-14040	93	5	to	to	PART
fcis-14040	93	6	parallel	parallel	VERB
fcis-14040	93	7	the	the	DET
fcis-14040	93	8	input	input	NOUN
fcis-14040	93	9	and	and	CCONJ
fcis-14040	93	10	output	output	NOUN
fcis-14040	93	11	channels	channel	NOUN
fcis-14040	93	12	,	,	PUNCT
fcis-14040	93	13	which	which	PRON
fcis-14040	93	14	improves	improve	VERB
fcis-14040	93	15	the	the	DET
fcis-14040	93	16	network	network	NOUN
fcis-14040	93	17	acceleration	acceleration	NOUN
fcis-14040	93	18	performance	performance	NOUN
fcis-14040	93	19	and	and	CCONJ
fcis-14040	93	20	reduces	reduce	VERB
fcis-14040	93	21	the	the	DET
fcis-14040	93	22	consumption	consumption	NOUN
fcis-14040	93	23	of	of	ADP
fcis-14040	93	24	hardware	hardware	NOUN
fcis-14040	93	25	resources	resource	NOUN
fcis-14040	93	26	.	.	PUNCT
fcis-14040	94	1	through	through	ADP
fcis-14040	94	2	the	the	DET
fcis-14040	94	3	verification	verification	NOUN
fcis-14040	94	4	results	result	NOUN
fcis-14040	94	5	on	on	ADP
fcis-14040	94	6	the	the	DET
fcis-14040	94	7	x	x	PROPN
fcis-14040	94	8	ilinx	ilinx	NOUN
fcis-14040	94	9	platform	platform	NOUN
fcis-14040	94	10	,	,	PUNCT
fcis-14040	94	11	it	it	PRON
fcis-14040	94	12	can	can	AUX
fcis-14040	94	13	be	be	AUX
fcis-14040	94	14	concluded	conclude	VERB
fcis-14040	94	15	that	that	SCONJ
fcis-14040	94	16	the	the	DET
fcis-14040	94	17	hardware	hardware	NOUN
fcis-14040	94	18	acceleration	acceleration	NOUN
fcis-14040	94	19	structure	structure	NOUN
fcis-14040	94	20	for	for	ADP
fcis-14040	94	21	yolov3	yolov3	PROPN
fcis-14040	94	22	-	-	PUNCT
fcis-14040	94	23	tiny	tiny	ADJ
fcis-14040	94	24	convolutional	convolutional	ADJ
fcis-14040	94	25	neural	neural	ADJ
fcis-14040	94	26	network	network	NOUN
fcis-14040	94	27	designed	design	VERB
fcis-14040	94	28	based	base	VERB
fcis-14040	94	29	on	on	ADP
fcis-14040	94	30	fpga	fpga	PROPN
fcis-14040	94	31	in	in	ADP
fcis-14040	94	32	this	this	DET
fcis-14040	94	33	paper	paper	NOUN
fcis-14040	94	34	has	have	VERB
fcis-14040	94	35	a	a	DET
fcis-14040	94	36	good	good	ADJ
fcis-14040	94	37	balance	balance	NOUN
fcis-14040	94	38	between	between	ADP
fcis-14040	94	39	reducing	reduce	VERB
fcis-14040	94	40	power	power	NOUN
fcis-14040	94	41	consumption	consumption	NOUN
fcis-14040	94	42	and	and	CCONJ
fcis-14040	94	43	reducing	reduce	VERB
fcis-14040	94	44	hardware	hardware	NOUN
fcis-14040	94	45	resource	resource	NOUN
fcis-14040	94	46	consumption	consumption	NOUN
fcis-14040	94	47	.	.	PUNCT
fcis-14040	95	1	149	149	NUM
fcis-14040	95	2	the	the	DET
fcis-14040	95	3	comprehensive	comprehensive	ADJ
fcis-14040	95	4	performance	performance	NOUN
fcis-14040	95	5	is	be	AUX
fcis-14040	95	6	better	well	ADJ
fcis-14040	95	7	than	than	ADP
fcis-14040	95	8	that	that	PRON
fcis-14040	95	9	of	of	ADP
fcis-14040	95	10	the	the	DET
fcis-14040	95	11	current	current	ADJ
fcis-14040	95	12	research	research	NOUN
fcis-14040	95	13	schemes	scheme	NOUN
fcis-14040	95	14	,	,	PUNCT
fcis-14040	95	15	and	and	CCONJ
fcis-14040	95	16	the	the	DET
fcis-14040	95	17	computing	compute	VERB
fcis-14040	95	18	resources	resource	NOUN
fcis-14040	95	19	and	and	CCONJ
fcis-14040	95	20	storage	storage	NOUN
fcis-14040	95	21	resources	resource	NOUN
fcis-14040	95	22	are	be	AUX
fcis-14040	95	23	relatively	relatively	ADV
fcis-14040	95	24	small	small	ADJ
fcis-14040	95	25	,	,	PUNCT
fcis-14040	95	26	which	which	PRON
fcis-14040	95	27	is	be	AUX
fcis-14040	95	28	of	of	ADP
fcis-14040	95	29	great	great	ADJ
fcis-14040	95	30	significance	significance	NOUN
fcis-14040	95	31	to	to	PART
fcis-14040	95	32	realize	realize	VERB
fcis-14040	95	33	yolo	yolo	ADJ
fcis-14040	95	34	acceleration	acceleration	NOUN
fcis-14040	95	35	in	in	ADP
fcis-14040	95	36	the	the	DET
fcis-14040	95	37	case	case	NOUN
fcis-14040	95	38	of	of	ADP
fcis-14040	95	39	limited	limited	ADJ
fcis-14040	95	40	resources	resource	NOUN
fcis-14040	95	41	of	of	ADP
fcis-14040	95	42	mobile	mobile	ADJ
fcis-14040	95	43	terminals	terminal	NOUN
fcis-14040	95	44	.	.	PUNCT
fcis-14040	96	1	references	reference	NOUN
fcis-14040	96	2	[	[	X
fcis-14040	96	3	1	1	NUM
fcis-14040	96	4	]	]	X
fcis-14040	96	5	zhang	zhang	PROPN
fcis-14040	96	6	,	,	PUNCT
fcis-14040	96	7	c.	c.	PROPN
fcis-14040	96	8	,	,	PUNCT
fcis-14040	96	9	li	li	PROPN
fcis-14040	96	10	,	,	PUNCT
fcis-14040	96	11	p.	p.	PROPN
fcis-14040	96	12	,	,	PUNCT
fcis-14040	96	13	sun	sun	PROPN
fcis-14040	96	14	,	,	PUNCT
fcis-14040	96	15	g.y	g.y	PROPN
fcis-14040	96	16	.	.	PROPN
fcis-14040	96	17	,	,	PUNCT
fcis-14040	96	18	guan	guan	PROPN
fcis-14040	96	19	,	,	PUNCT
fcis-14040	96	20	y.j	y.j	PROPN
fcis-14040	96	21	.	.	PROPN
fcis-14040	96	22	,	,	PUNCT
fcis-14040	96	23	xiao	xiao	PROPN
fcis-14040	96	24	,	,	PUNCT
fcis-14040	96	25	b.j	b.j	PROPN
fcis-14040	96	26	.	.	PROPN
fcis-14040	96	27	,	,	PUNCT
fcis-14040	96	28	cong	cong	PROPN
fcis-14040	96	29	,	,	PUNCT
fcis-14040	96	30	j.	j.	PROPN
fcis-14040	96	31	(	(	PUNCT
fcis-14040	96	32	2015	2015	NUM
fcis-14040	96	33	)	)	PUNCT
fcis-14040	96	34	optimizing	optimize	VERB
fcis-14040	96	35	fpga	fpga	NOUN
fcis-14040	96	36	-	-	PUNCT
fcis-14040	96	37	based	base	VERB
fcis-14040	96	38	accelerator	accelerator	NOUN
fcis-14040	96	39	design	design	NOUN
fcis-14040	96	40	for	for	ADP
fcis-14040	96	41	deep	deep	ADJ
fcis-14040	96	42	convolutional	convolutional	ADJ
fcis-14040	96	43	neural	neural	ADJ
fcis-14040	96	44	networks	network	NOUN
fcis-14040	96	45	.	.	PUNCT
fcis-14040	97	1	international	international	ADJ
fcis-14040	97	2	symposium	symposium	NOUN
fcis-14040	97	3	on	on	ADP
fcis-14040	97	4	field	field	NOUN
fcis-14040	97	5	-	-	PUNCT
fcis-14040	97	6	programmable	programmable	ADJ
fcis-14040	97	7	gate	gate	NOUN
fcis-14040	97	8	arrays	array	NOUN
fcis-14040	97	9	(	(	PUNCT
fcis-14040	97	10	fpga	fpga	PROPN
fcis-14040	97	11	)	)	PUNCT
fcis-14040	97	12	,	,	PUNCT
fcis-14040	97	13	161	161	NUM
fcis-14040	97	14	-	-	SYM
fcis-14040	97	15	170	170	NUM
fcis-14040	97	16	.	.	PUNCT
fcis-14040	98	1	[	[	X
fcis-14040	98	2	2	2	NUM
fcis-14040	98	3	]	]	X
fcis-14040	98	4	sun	sun	NOUN
fcis-14040	98	5	,	,	PUNCT
fcis-14040	98	6	f.	f.	PROPN
fcis-14040	98	7	,	,	PUNCT
fcis-14040	98	8	wang	wang	PROPN
fcis-14040	98	9	,	,	PUNCT
fcis-14040	98	10	c.	c.	PROPN
fcis-14040	98	11	,	,	PUNCT
fcis-14040	98	12	gong	gong	PROPN
fcis-14040	98	13	,	,	PUNCT
fcis-14040	98	14	l.	l.	PROPN
fcis-14040	98	15	,	,	PUNCT
fcis-14040	98	16	xu	xu	PROPN
fcis-14040	98	17	,	,	PUNCT
fcis-14040	98	18	c.	c.	PROPN
fcis-14040	98	19	,	,	PUNCT
fcis-14040	98	20	zhou	zhou	PROPN
fcis-14040	98	21	,	,	PUNCT
fcis-14040	98	22	x.	x.	NOUN
fcis-14040	98	23	(	(	PUNCT
fcis-14040	98	24	2017	2017	NUM
fcis-14040	98	25	)	)	PUNCT
fcis-14040	98	26	a	a	DET
fcis-14040	98	27	highperformance	highperformance	NOUN
fcis-14040	98	28	accelerator	accelerator	NOUN
fcis-14040	98	29	for	for	ADP
fcis-14040	98	30	large	large	ADJ
fcis-14040	98	31	-	-	PUNCT
fcis-14040	98	32	scale	scale	NOUN
fcis-14040	98	33	convolutional	convolutional	ADJ
fcis-14040	98	34	neural	neural	ADJ
fcis-14040	98	35	networks	network	NOUN
fcis-14040	98	36	.	.	PUNCT
fcis-14040	98	37	2017	2017	NUM
fcis-14040	98	38	ieee	ieee	PROPN
fcis-14040	98	39	international	international	ADJ
fcis-14040	98	40	symposium	symposium	NOUN
fcis-14040	98	41	on	on	ADP
fcis-14040	98	42	parallel	parallel	ADJ
fcis-14040	98	43	and	and	CCONJ
fcis-14040	98	44	distributed	distributed	ADJ
fcis-14040	98	45	processing	processing	NOUN
fcis-14040	98	46	with	with	ADP
fcis-14040	98	47	applications	application	NOUN
fcis-14040	98	48	and	and	CCONJ
fcis-14040	98	49	2017	2017	NUM
fcis-14040	98	50	ieee	ieee	NOUN
fcis-14040	98	51	international	international	ADJ
fcis-14040	98	52	conference	conference	NOUN
fcis-14040	98	53	on	on	ADP
fcis-14040	98	54	ubiquitous	ubiquitous	ADJ
fcis-14040	98	55	computing	computing	NOUN
fcis-14040	98	56	and	and	CCONJ
fcis-14040	98	57	communications	communication	NOUN
fcis-14040	98	58	(	(	PUNCT
fcis-14040	98	59	ispa	ispa	NOUN
fcis-14040	98	60	/	/	SYM
fcis-14040	98	61	iucc	iucc	NOUN
fcis-14040	98	62	)	)	PUNCT
fcis-14040	98	63	,	,	PUNCT
fcis-14040	98	64	1	1	NUM
fcis-14040	98	65	-	-	SYM
fcis-14040	98	66	9	9	NUM
fcis-14040	98	67	.	.	PUNCT
fcis-14040	99	1	[	[	X
fcis-14040	99	2	3	3	NUM
fcis-14040	99	3	]	]	X
fcis-14040	99	4	venieris	venieris	NOUN
fcis-14040	99	5	,	,	PUNCT
fcis-14040	99	6	s.i	s.i	PROPN
fcis-14040	99	7	.	.	PROPN
fcis-14040	99	8	,	,	PUNCT
fcis-14040	99	9	bouganis	bouganis	PROPN
fcis-14040	99	10	,	,	PUNCT
fcis-14040	99	11	c.s	c.s	PROPN
fcis-14040	99	12	.	.	PROPN
fcis-14040	99	13	(	(	PUNCT
fcis-14040	99	14	2016	2016	NUM
fcis-14040	99	15	)	)	PUNCT
fcis-14040	99	16	fpgaconvnet	fpgaconvnet	NOUN
fcis-14040	99	17	:	:	PUNCT
fcis-14040	99	18	a	a	DET
fcis-14040	99	19	framework	framework	NOUN
fcis-14040	99	20	for	for	ADP
fcis-14040	99	21	mapping	map	VERB
fcis-14040	99	22	convolutional	convolutional	ADJ
fcis-14040	99	23	neural	neural	ADJ
fcis-14040	99	24	networks	network	NOUN
fcis-14040	99	25	on	on	ADP
fcis-14040	99	26	fpgas	fpgas	NOUN
fcis-14040	99	27	.	.	PUNCT
fcis-14040	100	1	ieee	ieee	PROPN
fcis-14040	100	2	international	international	ADJ
fcis-14040	100	3	symposium	symposium	NOUN
fcis-14040	100	4	on	on	ADP
fcis-14040	100	5	fieldprogrammable	fieldprogrammable	ADJ
fcis-14040	100	6	custom	custom	NOUN
fcis-14040	100	7	computing	compute	VERB
fcis-14040	100	8	machines	machine	NOUN
fcis-14040	100	9	,	,	PUNCT
fcis-14040	100	10	london	london	PROPN
fcis-14040	100	11	,	,	PUNCT
fcis-14040	100	12	uk	uk	PROPN
fcis-14040	100	13	,	,	PUNCT
fcis-14040	100	14	40	40	NUM
fcis-14040	100	15	-	-	SYM
fcis-14040	100	16	47	47	NUM
fcis-14040	100	17	.	.	PUNCT
fcis-14040	101	1	[	[	X
fcis-14040	101	2	4	4	NUM
fcis-14040	101	3	]	]	X
fcis-14040	101	4	redmon	redmon	PROPN
fcis-14040	101	5	,	,	PUNCT
fcis-14040	101	6	j.	j.	PROPN
fcis-14040	101	7	,	,	PUNCT
fcis-14040	101	8	divvala	divvala	PROPN
fcis-14040	101	9	,	,	PUNCT
fcis-14040	101	10	s.	s.	PROPN
fcis-14040	101	11	,	,	PUNCT
fcis-14040	101	12	girshick	girshick	PROPN
fcis-14040	101	13	,	,	PUNCT
fcis-14040	101	14	r.	r.	PROPN
fcis-14040	101	15	,	,	PUNCT
fcis-14040	101	16	farhadi	farhadi	NOUN
fcis-14040	101	17	,	,	PUNCT
fcis-14040	101	18	a.	a.	NOUN
fcis-14040	101	19	(	(	PUNCT
fcis-14040	101	20	2016	2016	NUM
fcis-14040	101	21	)	)	PUNCT
fcis-14040	101	22	you	you	PRON
fcis-14040	101	23	only	only	ADV
fcis-14040	101	24	look	look	VERB
fcis-14040	101	25	once	once	ADV
fcis-14040	101	26	:	:	PUNCT
fcis-14040	101	27	unified	unified	ADJ
fcis-14040	101	28	,	,	PUNCT
fcis-14040	101	29	real	real	ADJ
fcis-14040	101	30	-	-	PUNCT
fcis-14040	101	31	time	time	NOUN
fcis-14040	101	32	object	object	NOUN
fcis-14040	101	33	detection	detection	NOUN
fcis-14040	101	34	.	.	PUNCT
fcis-14040	102	1	proceedings	proceeding	NOUN
fcis-14040	102	2	of	of	ADP
fcis-14040	102	3	the	the	DET
fcis-14040	102	4	ieee	ieee	NOUN
fcis-14040	102	5	conference	conference	NOUN
fcis-14040	102	6	on	on	ADP
fcis-14040	102	7	computer	computer	NOUN
fcis-14040	102	8	vision	vision	NOUN
fcis-14040	102	9	and	and	CCONJ
fcis-14040	102	10	pattern	pattern	NOUN
fcis-14040	102	11	recognition	recognition	NOUN
fcis-14040	102	12	,	,	PUNCT
fcis-14040	102	13	779	779	NUM
fcis-14040	102	14	-	-	SYM
fcis-14040	102	15	788	788	NUM
fcis-14040	102	16	.	.	PUNCT
fcis-14040	103	1	[	[	X
fcis-14040	103	2	5	5	NUM
fcis-14040	103	3	]	]	SYM
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fcis-14040	103	5	,	,	PUNCT
fcis-14040	103	6	s.	s.	PROPN
fcis-14040	103	7	,	,	PUNCT
fcis-14040	103	8	he	he	PRON
fcis-14040	103	9	,	,	PUNCT
fcis-14040	103	10	k.	k.	PROPN
fcis-14040	103	11	,	,	PUNCT
fcis-14040	103	12	girshick	girshick	PROPN
fcis-14040	103	13	,	,	PUNCT
fcis-14040	103	14	r.	r.	PROPN
fcis-14040	103	15	,	,	PUNCT
fcis-14040	103	16	sun	sun	PROPN
fcis-14040	103	17	,	,	PUNCT
fcis-14040	103	18	j.	j.	PROPN
fcis-14040	103	19	(	(	PUNCT
fcis-14040	103	20	2017	2017	NUM
fcis-14040	103	21	)	)	PUNCT
fcis-14040	103	22	faster	fast	ADV
fcis-14040	103	23	r	r	NOUN
fcis-14040	103	24	-	-	PUNCT
fcis-14040	103	25	cnn	cnn	NOUN
fcis-14040	103	26	:	:	PUNCT
fcis-14040	103	27	towards	towards	ADP
fcis-14040	103	28	real	real	ADJ
fcis-14040	103	29	-	-	PUNCT
fcis-14040	103	30	time	time	NOUN
fcis-14040	103	31	object	object	NOUN
fcis-14040	103	32	detection	detection	NOUN
fcis-14040	103	33	with	with	ADP
fcis-14040	103	34	region	region	NOUN
fcis-14040	103	35	proposal	proposal	NOUN
fcis-14040	103	36	networks	network	NOUN
fcis-14040	103	37	.	.	PUNCT
fcis-14040	104	1	ieee	ieee	NOUN
fcis-14040	104	2	transactions	transaction	NOUN
fcis-14040	104	3	on	on	ADP
fcis-14040	104	4	pattern	pattern	NOUN
fcis-14040	104	5	analysis	analysis	NOUN
fcis-14040	104	6	&	&	CCONJ
fcis-14040	104	7	machine	machine	NOUN
fcis-14040	104	8	intelligence	intelligence	NOUN
fcis-14040	104	9	,	,	PUNCT
fcis-14040	104	10	39(6	39(6	NUM
fcis-14040	104	11	):	):	PUNCT
fcis-14040	104	12	1137	1137	NUM
fcis-14040	104	13	-	-	SYM
fcis-14040	104	14	1149	1149	NUM
fcis-14040	104	15	.	.	PUNCT
fcis-14040	105	1	[	[	X
fcis-14040	105	2	6	6	NUM
fcis-14040	105	3	]	]	PUNCT
fcis-14040	105	4	bi	bi	NOUN
fcis-14040	105	5	,	,	PUNCT
fcis-14040	105	6	f.	f.	PROPN
fcis-14040	105	7	,	,	PUNCT
fcis-14040	105	8	yang	yang	PROPN
fcis-14040	105	9	,	,	PUNCT
fcis-14040	105	10	j.	j.	PROPN
fcis-14040	105	11	(	(	PUNCT
fcis-14040	105	12	2019	2019	NUM
fcis-14040	105	13	)	)	PUNCT
fcis-14040	105	14	target	target	NOUN
fcis-14040	105	15	detection	detection	NOUN
fcis-14040	105	16	system	system	NOUN
fcis-14040	105	17	design	design	NOUN
fcis-14040	105	18	and	and	CCONJ
fcis-14040	105	19	fpga	fpga	NOUN
fcis-14040	105	20	implementation	implementation	NOUN
fcis-14040	105	21	based	base	VERB
fcis-14040	105	22	on	on	ADP
fcis-14040	105	23	yolo	yolo	ADJ
fcis-14040	105	24	v2	v2	PROPN
fcis-14040	105	25	algorithm	algorithm	NOUN
fcis-14040	105	26	.	.	PUNCT
fcis-14040	106	1	2019	2019	NUM
fcis-14040	106	2	3rd	3rd	ADJ
fcis-14040	106	3	international	international	ADJ
fcis-14040	106	4	conference	conference	NOUN
fcis-14040	106	5	on	on	ADP
fcis-14040	106	6	imaging	imaging	NOUN
fcis-14040	106	7	,	,	PUNCT
fcis-14040	106	8	signal	signal	NOUN
fcis-14040	106	9	processing	processing	NOUN
fcis-14040	106	10	and	and	CCONJ
fcis-14040	106	11	communication	communication	NOUN
fcis-14040	106	12	(	(	PUNCT
fcis-14040	106	13	icispc	icispc	NOUN
fcis-14040	106	14	)	)	PUNCT
fcis-14040	106	15	.	.	PUNCT
fcis-14040	107	1	[	[	X
fcis-14040	107	2	7	7	NUM
fcis-14040	107	3	]	]	X
fcis-14040	107	4	wai	wai	PROPN
fcis-14040	107	5	,	,	PUNCT
fcis-14040	107	6	y.j	y.j	PROPN
fcis-14040	107	7	.	.	PROPN
fcis-14040	107	8	,	,	PUNCT
fcis-14040	107	9	yussof	yussof	PROPN
fcis-14040	107	10	,	,	PUNCT
fcis-14040	107	11	z.b.m	z.b.m	AUX
fcis-14040	107	12	.	.	PROPN
fcis-14040	107	13	,	,	PUNCT
fcis-14040	107	14	salim	salim	PROPN
fcis-14040	107	15	,	,	PUNCT
fcis-14040	107	16	s.i.b	s.i.b	PROPN
fcis-14040	107	17	.	.	PUNCT
fcis-14040	107	18	,	,	PUNCT
fcis-14040	107	19	chuan	chuan	PROPN
fcis-14040	107	20	,	,	PUNCT
fcis-14040	107	21	l.k	l.k	PROPN
fcis-14040	107	22	.	.	PROPN
fcis-14040	107	23	(	(	PUNCT
fcis-14040	107	24	2018	2018	NUM
fcis-14040	107	25	)	)	PUNCT
fcis-14040	107	26	fixed	fix	VERB
fcis-14040	107	27	point	point	NOUN
fcis-14040	107	28	implementation	implementation	NOUN
fcis-14040	107	29	of	of	ADP
fcis-14040	107	30	tiny	tiny	ADJ
fcis-14040	107	31	-	-	PUNCT
fcis-14040	107	32	yolo	yolo	NOUN
fcis-14040	107	33	-	-	PUNCT
fcis-14040	107	34	v2	v2	NOUN
fcis-14040	107	35	using	use	VERB
fcis-14040	107	36	opencl	opencl	NOUN
fcis-14040	107	37	on	on	ADP
fcis-14040	107	38	fpga	fpga	PROPN
fcis-14040	107	39	.	.	PUNCT
fcis-14040	108	1	international	international	ADJ
fcis-14040	108	2	journal	journal	PROPN
fcis-14040	108	3	of	of	ADP
fcis-14040	108	4	advanced	advanced	ADJ
fcis-14040	108	5	computer	computer	NOUN
fcis-14040	108	6	science	science	NOUN
fcis-14040	108	7	&	&	CCONJ
fcis-14040	108	8	applications	application	NOUN
fcis-14040	108	9	,	,	PUNCT
fcis-14040	108	10	9(10):506	9(10):506	NUM
fcis-14040	108	11	-	-	SYM
fcis-14040	108	12	512	512	NUM
fcis-14040	108	13	.	.	PUNCT
fcis-14040	109	1	[	[	X
fcis-14040	109	2	8	8	NUM
fcis-14040	109	3	]	]	X
fcis-14040	109	4	lu	lu	PROPN
fcis-14040	109	5	,	,	PUNCT
fcis-14040	109	6	z.j	z.j	PROPN
fcis-14040	109	7	.	.	PROPN
fcis-14040	109	8	(	(	PUNCT
fcis-14040	109	9	2013	2013	NUM
fcis-14040	109	10	)	)	PUNCT
fcis-14040	109	11	research	research	NOUN
fcis-14040	109	12	on	on	ADP
fcis-14040	109	13	the	the	DET
fcis-14040	109	14	parallel	parallel	ADJ
fcis-14040	109	15	structure	structure	NOUN
fcis-14040	109	16	of	of	ADP
fcis-14040	109	17	convolutional	convolutional	ADJ
fcis-14040	109	18	neural	neural	ADJ
fcis-14040	109	19	network	network	NOUN
fcis-14040	109	20	based	base	VERB
fcis-14040	109	21	on	on	ADP
fcis-14040	109	22	fpga	fpga	PROPN
fcis-14040	109	23	.	.	PUNCT
fcis-14040	110	1	thesis	thesis	NOUN
fcis-14040	110	2	of	of	ADP
fcis-14040	110	3	harbin	harbin	PROPN
fcis-14040	110	4	engineering	engineering	PROPN
fcis-14040	110	5	university	university	PROPN
fcis-14040	110	6	.	.	PUNCT
fcis-14040	111	1	[	[	X
fcis-14040	111	2	9	9	NUM
fcis-14040	111	3	]	]	SYM
fcis-14040	111	4	nakahara	nakahara	ADJ
fcis-14040	111	5	,	,	PUNCT
fcis-14040	111	6	h.	h.	PROPN
fcis-14040	111	7	,	,	PUNCT
fcis-14040	111	8	yonekawa	yonekawa	PROPN
fcis-14040	111	9	,	,	PUNCT
fcis-14040	111	10	h.	h.	PROPN
fcis-14040	111	11	,	,	PUNCT
fcis-14040	111	12	fujii	fujii	PROPN
fcis-14040	111	13	,	,	PUNCT
fcis-14040	111	14	t.	t.	PROPN
fcis-14040	111	15	,	,	PUNCT
fcis-14040	111	16	&	&	CCONJ
fcis-14040	111	17	sato	sato	PROPN
fcis-14040	111	18	,	,	PUNCT
fcis-14040	111	19	s.	s.	PROPN
fcis-14040	111	20	(	(	PUNCT
fcis-14040	111	21	2018	2018	NUM
fcis-14040	111	22	)	)	PUNCT
fcis-14040	111	23	a	a	DET
fcis-14040	111	24	lightweight	lightweight	ADJ
fcis-14040	111	25	yolov2	yolov2	PROPN
fcis-14040	111	26	:	:	PUNCT
fcis-14040	111	27	a	a	DET
fcis-14040	111	28	binarized	binarized	ADJ
fcis-14040	111	29	cnn	cnn	PROPN
fcis-14040	111	30	with	with	ADP
fcis-14040	111	31	a	a	DET
fcis-14040	111	32	parallel	parallel	ADJ
fcis-14040	111	33	support	support	NOUN
fcis-14040	111	34	vector	vector	NOUN
fcis-14040	111	35	regression	regression	NOUN
fcis-14040	111	36	for	for	ADP
fcis-14040	111	37	an	an	DET
fcis-14040	111	38	fpga	fpga	PROPN
fcis-14040	111	39	.	.	PUNCT
fcis-14040	111	40	field	field	PROPN
fcis-14040	111	41	programmable	programmable	ADJ
fcis-14040	111	42	gate	gate	NOUN
fcis-14040	111	43	arrays	array	VERB
fcis-14040	111	44	.	.	PUNCT
fcis-14040	112	1	acm	acm	PROPN
fcis-14040	112	2	,	,	PUNCT
fcis-14040	112	3	31	31	NUM
fcis-14040	112	4	-	-	SYM
fcis-14040	112	5	40	40	NUM
fcis-14040	112	6	.	.	PUNCT
fcis-14040	113	1	[	[	X
fcis-14040	113	2	10	10	NUM
fcis-14040	113	3	]	]	X
fcis-14040	113	4	nguyen	nguyen	NOUN
fcis-14040	113	5	,	,	PUNCT
fcis-14040	113	6	d.t	d.t	PROPN
fcis-14040	113	7	.	.	PROPN
fcis-14040	113	8	,	,	PUNCT
fcis-14040	113	9	nguyen	nguyen	PROPN
fcis-14040	113	10	,	,	PUNCT
fcis-14040	113	11	t.n	t.n	PROPN
fcis-14040	113	12	.	.	PROPN
fcis-14040	113	13	,	,	PUNCT
fcis-14040	113	14	kim	kim	PROPN
fcis-14040	113	15	,	,	PUNCT
fcis-14040	113	16	h.	h.	PROPN
fcis-14040	113	17	,	,	PUNCT
fcis-14040	113	18	lee	lee	PROPN
fcis-14040	113	19	,	,	PUNCT
fcis-14040	113	20	h.j	h.j	PROPN
fcis-14040	113	21	.	.	PROPN
fcis-14040	113	22	(	(	PUNCT
fcis-14040	113	23	2019	2019	NUM
fcis-14040	113	24	)	)	PUNCT
fcis-14040	113	25	a	a	DET
fcis-14040	113	26	highthroughput	highthroughput	NOUN
fcis-14040	113	27	and	and	CCONJ
fcis-14040	113	28	power	power	NOUN
fcis-14040	113	29	-	-	PUNCT
fcis-14040	113	30	efficient	efficient	ADJ
fcis-14040	113	31	fpga	fpga	NOUN
fcis-14040	113	32	implementation	implementation	NOUN
fcis-14040	113	33	of	of	ADP
fcis-14040	113	34	yolo	yolo	PROPN
fcis-14040	113	35	cnn	cnn	PROPN
fcis-14040	113	36	for	for	ADP
fcis-14040	113	37	object	object	NOUN
fcis-14040	113	38	detection	detection	NOUN
fcis-14040	113	39	.	.	PUNCT
fcis-14040	114	1	ieee	ieee	NOUN
fcis-14040	114	2	transactions	transaction	NOUN
fcis-14040	114	3	on	on	ADP
fcis-14040	114	4	very	very	ADV
fcis-14040	114	5	large	large	ADJ
fcis-14040	114	6	scale	scale	NOUN
fcis-14040	114	7	integration	integration	NOUN
fcis-14040	114	8	(	(	PUNCT
fcis-14040	114	9	vlsi	vlsi	PROPN
fcis-14040	114	10	)	)	PUNCT
fcis-14040	114	11	systems	system	NOUN
fcis-14040	114	12	,	,	PUNCT
fcis-14040	114	13	1	1	NUM
fcis-14040	114	14	-	-	SYM
fcis-14040	114	15	13	13	NUM
fcis-14040	114	16	.	.	PUNCT
fcis-14040	115	1	[	[	X
fcis-14040	115	2	11	11	NUM
fcis-14040	115	3	]	]	PUNCT
fcis-14040	115	4	preuer	preuer	NOUN
fcis-14040	115	5	,	,	PUNCT
fcis-14040	115	6	t.b	t.b	PROPN
fcis-14040	115	7	.	.	PROPN
fcis-14040	115	8	,	,	PUNCT
fcis-14040	115	9	gambardella	gambardella	PROPN
fcis-14040	115	10	,	,	PUNCT
fcis-14040	115	11	g.	g.	PROPN
fcis-14040	115	12	,	,	PUNCT
fcis-14040	115	13	fraser	fraser	PROPN
fcis-14040	115	14	,	,	PUNCT
fcis-14040	115	15	n.	n.	NOUN
fcis-14040	115	16	,	,	PUNCT
fcis-14040	115	17	blott	blott	PROPN
fcis-14040	115	18	,	,	PUNCT
fcis-14040	115	19	m.	m.	NOUN
fcis-14040	115	20	(	(	PUNCT
fcis-14040	115	21	2018	2018	NUM
fcis-14040	115	22	)	)	PUNCT
fcis-14040	115	23	inference	inference	NOUN
fcis-14040	115	24	of	of	ADP
fcis-14040	115	25	quantized	quantize	VERB
fcis-14040	115	26	neural	neural	ADJ
fcis-14040	115	27	networks	network	NOUN
fcis-14040	115	28	on	on	ADP
fcis-14040	115	29	heterogeneous	heterogeneous	ADJ
fcis-14040	115	30	all	all	ADJ
fcis-14040	115	31	-	-	PUNCT
fcis-14040	115	32	programmable	programmable	ADJ
fcis-14040	115	33	devices	device	NOUN
fcis-14040	115	34	.	.	PUNCT
fcis-14040	116	1	design	design	NOUN
fcis-14040	116	2	,	,	PUNCT
fcis-14040	116	3	automation	automation	NOUN
fcis-14040	116	4	&	&	CCONJ
fcis-14040	116	5	test	test	PROPN
fcis-14040	116	6	in	in	ADP
fcis-14040	116	7	europe	europe	PROPN
fcis-14040	116	8	conference	conference	PROPN
fcis-14040	116	9	&	&	CCONJ
fcis-14040	116	10	exhibition	exhibition	PROPN
fcis-14040	116	11	,	,	PUNCT
fcis-14040	116	12	833	833	NUM
fcis-14040	116	13	-	-	SYM
fcis-14040	116	14	838	838	NUM
fcis-14040	116	15	.	.	PUNCT