{"id":"https://openalex.org/W3128763197","doi":"https://doi.org/10.1109/a-sscc48613.2020.9336148","title":"CompAcc: Efficient Hardware Realization for Processing Compressed Neural Networks Using Accumulator Arrays","display_name":"CompAcc: Efficient Hardware Realization for Processing Compressed Neural Networks Using Accumulator Arrays","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3128763197","doi":"https://doi.org/10.1109/a-sscc48613.2020.9336148","mag":"3128763197"},"language":"en","primary_location":{"id":"doi:10.1109/a-sscc48613.2020.9336148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/a-sscc48613.2020.9336148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Asian Solid-State Circuits Conference (A-SSCC)","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/A5001739709","display_name":"Zexi Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zexi Ji","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034737783","display_name":"Wanyeong Jung","orcid":"https://orcid.org/0000-0002-5671-1341"},"institutions":[{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Wanyeong Jung","raw_affiliation_strings":["KAIST"],"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085103388","display_name":"Jongchan Woo","orcid":"https://orcid.org/0000-0002-7762-9216"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jongchan Woo","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005218802","display_name":"Khushal Sethi","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khushal Sethi","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113824454","display_name":"Shih\u2010Lien Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shih-Lien Lu","raw_affiliation_strings":["TSMC"],"affiliations":[{"raw_affiliation_string":"TSMC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084128470","display_name":"Anantha P. Chandrakasan","orcid":"https://orcid.org/0000-0002-5977-2748"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anantha P. Chandrakasan","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001739709"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52498824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9984999895095825,"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/T12676","display_name":"Machine Learning and ELM","score":0.996999979019165,"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":0.7421938180923462},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.575675368309021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5095951557159424},{"id":"https://openalex.org/keywords/accumulator","display_name":"Accumulator (cryptography)","score":0.5021078586578369},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4923335313796997},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48551154136657715},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.47090697288513184},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.42234736680984497},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.420444130897522},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3317672610282898},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32269376516342163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26078638434410095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2605428397655487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421938180923462},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.575675368309021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5095951557159424},{"id":"https://openalex.org/C2078106","wikidata":"https://www.wikidata.org/wiki/Q14906620","display_name":"Accumulator (cryptography)","level":2,"score":0.5021078586578369},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4923335313796997},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48551154136657715},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.47090697288513184},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.42234736680984497},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.420444130897522},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3317672610282898},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32269376516342163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26078638434410095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2605428397655487},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/a-sscc48613.2020.9336148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/a-sscc48613.2020.9336148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Asian Solid-State Circuits Conference (A-SSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322589","display_name":"Taiwan Semiconductor Manufacturing Company","ror":"https://ror.org/02wx79d08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W2285660444","https://openalex.org/W2560017826","https://openalex.org/W2593564159","https://openalex.org/W2895531329","https://openalex.org/W2963287959","https://openalex.org/W2963424132","https://openalex.org/W2963594949","https://openalex.org/W2964299589","https://openalex.org/W2987129023","https://openalex.org/W6677580257","https://openalex.org/W6730047919","https://openalex.org/W6734592959"],"related_works":["https://openalex.org/W2367867835","https://openalex.org/W2021816285","https://openalex.org/W1510566140","https://openalex.org/W2248088915","https://openalex.org/W2368917568","https://openalex.org/W2386379866","https://openalex.org/W1986357832","https://openalex.org/W2374433221","https://openalex.org/W2117460886","https://openalex.org/W2146312153"],"abstract_inverted_index":{"Compression":[0],"of":[1,12,86],"neural":[2,25],"networks":[3,26],"is":[4,41,102],"an":[5],"effective":[6],"way":[7],"to":[8,56,104],"satisfy":[9],"the":[10,48,52,83,94],"requirement":[11],"memory-constrained":[13],"edge":[14],"devices.":[15],"We":[16],"propose":[17],"a":[18,113],"novel":[19],"array":[20,115],"microarchitecture":[21],"that":[22],"exploits":[23],"compressed":[24,36,91],"with":[27,71,93,112],"nonlinearly":[28],"quantized":[29],"weights":[30,76],"and":[31,35,74,79],"supports":[32],"variable":[33],"activation":[34],"weight":[37,54],"bit":[38],"widths.":[39],"Computation":[40],"made":[42],"more":[43],"efficient":[44],"by":[45,51],"accumulating":[46],"all":[47],"activations":[49,73],"multiplied":[50],"same":[53],"prior":[55],"multiplication.":[57],"This":[58,101],"design":[59],"has":[60],"been":[61],"fabricated":[62],"in":[63],"TSMC":[64],"28nm":[65],"technology.":[66],"It":[67],"achieves":[68],"3.4":[69],"TOPS/W":[70,81],"16b":[72,75],"(4b":[77],"compressed)":[78],"3.7":[80],"on":[82],"convolutional":[84],"layers":[85],"AlexNet":[87],"(8b":[88],"activations,":[89],"4b":[90],"weights)":[92],"ImageNet":[95],"dataset,":[96],"consuming":[97],"15.6mW":[98],"at":[99],"44fps.":[100],"comparable":[103],"state-of-the-art":[105],"chip":[106],"implementations,":[107],"while":[108],"introducing":[109],"increased":[110],"flexibility":[111],"simple":[114],"structure.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}