{"id":"https://openalex.org/W4410582658","doi":"https://doi.org/10.23919/date64628.2025.10992780","title":"WinAcc: Window-based Acceleration of Neural Networks Using Block Floating Point","display_name":"WinAcc: Window-based Acceleration of Neural Networks Using Block Floating Point","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410582658","doi":"https://doi.org/10.23919/date64628.2025.10992780"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10992780","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","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/A5102281005","display_name":"Xin Ju","orcid":"https://orcid.org/0009-0009-9346-2960"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Ju","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056741076","display_name":"Jun He","orcid":"https://orcid.org/0000-0003-4189-2474"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101937502","display_name":"Mei Wen","orcid":"https://orcid.org/0000-0002-5875-3297"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Wen","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030980879","display_name":"Jing Feng","orcid":"https://orcid.org/0000-0001-7061-8162"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Feng","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057268141","display_name":"Yasong Cao","orcid":"https://orcid.org/0009-0003-7683-989X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasong Cao","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037428152","display_name":"Junzhong Shen","orcid":"https://orcid.org/0000-0001-6233-6800"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhong Shen","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981758","display_name":"Zhaoyun Chen","orcid":"https://orcid.org/0000-0003-1552-8396"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyun Chen","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101825210","display_name":"Yang Shi","orcid":"https://orcid.org/0000-0001-5786-3171"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Shi","raw_affiliation_strings":["School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology,Key Laboratory of Advanced Microprocessor Chips and Systems,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102281005"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05660153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8881000280380249,"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":0.8881000280380249,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804836988449097},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6624263525009155},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.655703604221344},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5919234156608582},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5614989399909973},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4185704290866852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2997179627418518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15183648467063904},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08788794279098511},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.054392486810684204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804836988449097},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6624263525009155},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.655703604221344},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5919234156608582},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5614989399909973},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4185704290866852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2997179627418518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15183648467063904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08788794279098511},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.054392486810684204},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10992780","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7708159036","display_name":null,"funder_award_id":"U23A20301,62102433","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2204310803","https://openalex.org/W2750822049","https://openalex.org/W2963163009","https://openalex.org/W2963748441","https://openalex.org/W3004543888","https://openalex.org/W3012561096","https://openalex.org/W3208633927","https://openalex.org/W4308083739","https://openalex.org/W4319870545","https://openalex.org/W4319996342","https://openalex.org/W4380874652","https://openalex.org/W4393406920","https://openalex.org/W4404133677","https://openalex.org/W6637373629","https://openalex.org/W6755207826","https://openalex.org/W6763653508","https://openalex.org/W6779728309","https://openalex.org/W6782879696","https://openalex.org/W6785530804","https://openalex.org/W6790521546","https://openalex.org/W6854866820","https://openalex.org/W6859486663","https://openalex.org/W6877022392"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W2109115373","https://openalex.org/W2565094479","https://openalex.org/W4230691760","https://openalex.org/W2390829436","https://openalex.org/W1989791859","https://openalex.org/W4391923333","https://openalex.org/W602859758","https://openalex.org/W2393847170","https://openalex.org/W85049056"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"impose":[4],"significant":[5],"computational":[6,11,34],"demands,":[7],"necessitating":[8],"optimizations":[9],"for":[10,167],"and":[12,33,58,75,86,94,106,127,177,185,204],"energy":[13,49,92,129,188,198],"efficiencies.":[14],"Per-vector":[15],"scaling,":[16],"which":[17,145],"applies":[18],"a":[19,103,112,142,150,155,171],"scaling":[20],"factor":[21],"to":[22,90,115,159],"blocks":[23],"of":[24,40,83,119,139,149,162,170],"elements":[25],"using":[26],"narrow":[27,156,175],"integer":[28],"types,":[29],"effectively":[30],"reduces":[31,205],"storage":[32],"overhead.":[35],"However,":[36],"the":[37,69,81,117,137,147,163,168],"frequent":[38],"occurrence":[39],"floating-point":[41,183],"accumulations":[42],"between":[43],"vectors":[44],"limits":[45],"further":[46],"improvements":[47],"in":[48,121],"efficiency.":[50,96,189],"State-of-the-art":[51],"accelerators":[52],"address":[53],"this":[54,78,98],"challenge":[55],"by":[56,207],"grouping":[57,87],"summing":[59],"vector":[60],"products":[61],"based":[62],"on":[63,182],"their":[64],"exponent":[65],"differences,":[66],"thereby":[67],"reducing":[68,180],"overhead":[70,126],"associated":[71],"with":[72,154,174,191],"intra-group":[73],"shifting":[74],"accumulation.":[76],"Nevertheless,":[77],"approach":[79],"increases":[80],"complexity":[82],"register":[84],"usage":[85],"logic,":[88],"leading":[89],"limited":[91],"benefits":[93],"hardware":[95],"In":[97],"context,":[99],"we":[100],"introduce":[101],"WinAcc,":[102],"novel":[104],"algorithm":[105],"architecture":[107,193],"co-designed":[108],"solution":[109],"that":[110,136],"utilizes":[111],"low-cost":[113,172],"accumu-lator":[114],"handle":[116],"majority":[118],"data":[120,138,152],"DNNs,":[122],"offering":[123],"low":[124],"area":[125,206],"high":[128],"efficiency":[130],"gains.":[131],"Our":[132],"key":[133],"insight":[134],"is":[135],"DNNs":[140,203],"follows":[141],"Laplace-like":[143],"distribution,":[144],"enables":[146],"use":[148],"customized":[151],"format":[153],"dynamic":[157],"range":[158],"encode":[160],"most":[161],"data.":[164],"This":[165],"allows":[166],"design":[169],"accumulator":[173,184],"shifters":[176],"adders,":[178],"significantly":[179],"reliance":[181],"consequently":[186],"improving":[187],"Compared":[190],"state-of-the-art":[192],"Bucket,":[194],"WinAcc":[195],"achieves":[196],"33.95%":[197],"reduction":[199],"across":[200],"seven":[201],"representative":[202],"9.5%":[208],"while":[209],"maintaining":[210],"superior":[211],"model":[212],"performance.":[213]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
