{"id":"https://openalex.org/W3206803584","doi":"https://doi.org/10.1109/ccis53392.2021.9754668","title":"A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization","display_name":"A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization","publication_year":2021,"publication_date":"2021-11-07","ids":{"openalex":"https://openalex.org/W3206803584","doi":"https://doi.org/10.1109/ccis53392.2021.9754668","mag":"3206803584"},"language":"en","primary_location":{"id":"doi:10.1109/ccis53392.2021.9754668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5100409565","display_name":"Yuyang Zhang","orcid":"https://orcid.org/0000-0001-9207-4039"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyang Zhang","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038574826","display_name":"Dik Hin Leung","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dik Hin Leung","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102798697","display_name":"Min Guo","orcid":"https://orcid.org/0000-0001-7962-610X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Guo","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040226555","display_name":"Yijia Xiao","orcid":"https://orcid.org/0000-0002-5512-3070"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Xiao","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101731302","display_name":"Haoyue Liu","orcid":"https://orcid.org/0000-0003-1379-7648"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyue Liu","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602843","display_name":"Yunfei Li","orcid":"https://orcid.org/0000-0003-0988-9400"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Li","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691292","display_name":"Jiyuan Zhang","orcid":"https://orcid.org/0000-0003-4081-5231"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyuan Zhang","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325289","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0003-3906-0716"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Wang","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457674","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0002-1815-3801"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100409565"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6929493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489692568778992},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.7263810634613037},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6844899654388428},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.610064685344696},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.605668306350708},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5581642389297485},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5508503913879395},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4917934238910675},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4859848916530609},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4821195602416992},{"id":"https://openalex.org/keywords/multiplication-algorithm","display_name":"Multiplication algorithm","score":0.4367069602012634},{"id":"https://openalex.org/keywords/gate-array","display_name":"Gate array","score":0.42151856422424316},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4105778634548187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39392703771591187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3762665390968323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3458814024925232},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.2502082586288452},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2238837480545044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1047220230102539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489692568778992},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.7263810634613037},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6844899654388428},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.610064685344696},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.605668306350708},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5581642389297485},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5508503913879395},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4917934238910675},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4859848916530609},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4821195602416992},{"id":"https://openalex.org/C201290732","wikidata":"https://www.wikidata.org/wiki/Q130762","display_name":"Multiplication algorithm","level":3,"score":0.4367069602012634},{"id":"https://openalex.org/C114237110","wikidata":"https://www.wikidata.org/wiki/Q114901","display_name":"Gate array","level":3,"score":0.42151856422424316},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4105778634548187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39392703771591187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3762665390968323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3458814024925232},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2502082586288452},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2238837480545044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1047220230102539},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis53392.2021.9754668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.800000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2165354374","https://openalex.org/W2396572963","https://openalex.org/W2907463061","https://openalex.org/W2990933398","https://openalex.org/W3008730548","https://openalex.org/W3112932514","https://openalex.org/W3158020960","https://openalex.org/W3163252910"],"related_works":["https://openalex.org/W2043670592","https://openalex.org/W1184054379","https://openalex.org/W91485067","https://openalex.org/W4321636604","https://openalex.org/W2166446087","https://openalex.org/W2170716619","https://openalex.org/W2981904432","https://openalex.org/W1514589732","https://openalex.org/W2392656174","https://openalex.org/W4288594268"],"abstract_inverted_index":{"Matrix":[0],"multiplication":[1,21,51],"is":[2,60],"the":[3,29],"bedrock":[4],"in":[5,35],"Deep":[6],"Learning":[7],"inference":[8],"application.":[9],"When":[10],"it":[11],"comes":[12],"to":[13],"hardware":[14],"acceleration":[15],"on":[16,47,62,72],"edge":[17,36],"computing":[18],"devices,":[19],"matrix":[20,50],"often":[22],"takes":[23],"up":[24],"a":[25,40,48,54],"great":[26],"majority":[27],"of":[28],"time.":[30],"To":[31],"achieve":[32,85],"better":[33,86],"performance":[34,71,87],"computing,":[37],"we":[38],"introduce":[39],"low-power":[41],"Multi-layer":[42],"Perceptron":[43],"(MLP)":[44],"accelerator":[45],"based":[46],"pipelined":[49],"scheme":[52],"and":[53,68,76],"nonuniform":[55],"quantization":[56],"methodology.":[57],"The":[58],"implementation":[59],"running":[61],"Field-programmable":[63],"Gate":[64],"Array":[65],"(FPGA)":[66],"devices":[67],"tested":[69],"its":[70],"handwritten":[73],"digit":[74],"classification":[75],"Q-learning":[77],"tasks.":[78],"Results":[79],"show":[80],"that":[81],"our":[82],"method":[83],"can":[84],"with":[88],"fewer":[89],"power":[90],"consumption.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}