{"id":"https://openalex.org/W3194984065","doi":"https://doi.org/10.1109/asap52443.2021.00021","title":"Binary Complex Neural Network Acceleration on FPGA : (Invited Paper)","display_name":"Binary Complex Neural Network Acceleration on FPGA : (Invited Paper)","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3194984065","doi":"https://doi.org/10.1109/asap52443.2021.00021","mag":"3194984065"},"language":"en","primary_location":{"id":"doi:10.1109/asap52443.2021.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap52443.2021.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045835605","display_name":"Hongwu Peng","orcid":"https://orcid.org/0000-0003-2025-2195"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongwu Peng","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070625162","display_name":"Shanglin Zhou","orcid":"https://orcid.org/0000-0002-6409-7716"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanglin Zhou","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058953929","display_name":"Scott Weitze","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Weitze","raw_affiliation_strings":["Stevens Institute of Technology,Hoboken,NJ,USA","Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343403","display_name":"Jiaxin Li","orcid":"https://orcid.org/0000-0002-1416-1871"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaxin Li","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009170496","display_name":"Sahidul Islam","orcid":"https://orcid.org/0000-0002-4488-8182"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahidul Islam","raw_affiliation_strings":["University of Texas at San Antonio,San Antonio,TX,USA","University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio,San Antonio,TX,USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078443672","display_name":"Tong Geng","orcid":"https://orcid.org/0000-0002-3644-2922"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Geng","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,WA,USA","Pacific Northwest National Laboratory, Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,WA,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413657","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-3734-9137"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,WA,USA","Pacific Northwest National Laboratory, Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,WA,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441569","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-1492-8286"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079583126","display_name":"Minghu Song","orcid":"https://orcid.org/0000-0003-0887-0767"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghu Song","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059911353","display_name":"Mimi Xie","orcid":"https://orcid.org/0000-0003-1973-2909"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mimi Xie","raw_affiliation_strings":["University of Texas at San Antonio,San Antonio,TX,USA","University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio,San Antonio,TX,USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119011911","display_name":"Hang Liu","orcid":"https://orcid.org/0009-0001-2928-1040"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Stevens Institute of Technology,Hoboken,NJ,USA","Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["University of Connecticut,Storrs,CT,USA","University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5045835605"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71254902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851274609565735},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7676849365234375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6602410674095154},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6602117419242859},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5849937200546265},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5509315729141235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5129334926605225},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4945313632488251},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46233484148979187},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4617175757884979},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45634517073631287},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4442596137523651},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42755988240242004},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41442734003067017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3577243983745575},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2005290985107422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851274609565735},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7676849365234375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6602410674095154},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6602117419242859},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5849937200546265},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5509315729141235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5129334926605225},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4945313632488251},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46233484148979187},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4617175757884979},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45634517073631287},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4442596137523651},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42755988240242004},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41442734003067017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3577243983745575},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2005290985107422},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asap52443.2021.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asap52443.2021.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1799366690","https://openalex.org/W1839118408","https://openalex.org/W1902934009","https://openalex.org/W2012586594","https://openalex.org/W2108598243","https://openalex.org/W2164278908","https://openalex.org/W2198190323","https://openalex.org/W2233116163","https://openalex.org/W2267635276","https://openalex.org/W2319920447","https://openalex.org/W2729080111","https://openalex.org/W2751366252","https://openalex.org/W2774486139","https://openalex.org/W2798170643","https://openalex.org/W2896457183","https://openalex.org/W2916484109","https://openalex.org/W2949159496","https://openalex.org/W2951845198","https://openalex.org/W2963114950","https://openalex.org/W2963341956","https://openalex.org/W2964200805","https://openalex.org/W2971533524","https://openalex.org/W3007848645","https://openalex.org/W3047848469","https://openalex.org/W3085898354","https://openalex.org/W3100980998","https://openalex.org/W3104393472","https://openalex.org/W3133347161","https://openalex.org/W3139039641","https://openalex.org/W3154937693","https://openalex.org/W3162542754","https://openalex.org/W3192404420","https://openalex.org/W3208493659","https://openalex.org/W4234738201","https://openalex.org/W4245205197","https://openalex.org/W4295262505","https://openalex.org/W6638444622","https://openalex.org/W6638946568","https://openalex.org/W6639703010","https://openalex.org/W6687785706","https://openalex.org/W6693397755","https://openalex.org/W6700264148","https://openalex.org/W6738145326","https://openalex.org/W6750209611","https://openalex.org/W6755207826","https://openalex.org/W6767331521","https://openalex.org/W6783124958","https://openalex.org/W6791572139"],"related_works":["https://openalex.org/W2963058055","https://openalex.org/W2511279186","https://openalex.org/W2951473296","https://openalex.org/W4312641555","https://openalex.org/W4288420200","https://openalex.org/W4287447989","https://openalex.org/W3098411449","https://openalex.org/W4320170089","https://openalex.org/W3177201542","https://openalex.org/W4206934952"],"abstract_inverted_index":{"Being":[0],"able":[1,112,190],"to":[2,35,113,143,191],"learn":[3,46],"from":[4,47,128],"complex":[5,37,40,48,94,173,203],"data":[6,95],"with":[7,68,84,154,184],"phase":[8],"information":[9,28],"is":[10,111,189],"imperative":[11],"for":[12,170,202],"many":[13,64],"signal":[14,73],"processing":[15],"applications.":[16],"Today’s":[17],"real-valued":[18],"deep":[19],"neural":[20,86,174],"networks":[21,41,87],"(DNNs)":[22],"have":[23,51],"shown":[24],"efficiency":[25],"in":[26,43,92,96],"latent":[27],"analysis":[29],"but":[30,50],"fall":[31],"short":[32,69,72],"when":[33],"applied":[34],"the":[36,59,130,136,144,159,171,180,193],"domain.":[38],"Deep":[39],"(DCN),":[42],"contrast,":[44],"can":[45],"data,":[49],"high":[52,125],"computational":[53],"costs;":[54],"therefore,":[55],"they":[56],"cannot":[57],"satisfy":[58],"instant":[60],"decision-making":[61],"requirements":[62],"of":[63,108,196],"deployable":[65],"systems":[66],"dealing":[67],"observations":[70],"or":[71],"bursts.":[74],"Recent,":[75],"Binarized":[76],"Complex":[77],"Neural":[78],"Network":[79],"(BCNN),":[80],"which":[81,110],"integrates":[82],"DCNs":[83],"binarized":[85],"(BNN),":[88],"shows":[89],"great":[90],"potential":[91],"classifying":[93],"real-time.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101,139,162],"propose":[102,163],"a":[103,164],"structural":[104,141],"pruning":[105,142,152],"based":[106],"accelerator":[107,169],"BCNN,":[109],"provide":[114],"more":[115],"than":[116],"5000":[117],"frames/s":[118,198,201],"inference":[119,194],"throughput":[120,195],"on":[121,158],"edge":[122],"devices.":[123],"The":[124],"performance":[126],"comes":[127],"both":[129],"algorithm":[131,137],"and":[132,148,188,199,205,210],"hardware":[133,160],"sides.":[134],"On":[135],"side,":[138,161],"conduct":[140],"original":[145],"BCNN":[146],"models":[147],"obtain":[149],"20":[150],"×":[151],"rates":[153],"negligible":[155],"accuracy":[156],"loss;":[157],"novel":[165],"2D":[166],"convolution":[167],"operation":[168],"binary":[172],"network.":[175],"Experimental":[176],"results":[177],"show":[178],"that":[179],"proposed":[181],"design":[182],"works":[183],"over":[185],"90%":[186],"utilization":[187],"achieve":[192],"5882":[197],"4938":[200],"NIN-Net":[204],"ResNet-18":[206],"using":[207],"CIFAR-10":[208],"dataset":[209],"Alveo":[211],"U280":[212],"Board.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}