{"id":"https://openalex.org/W4308654591","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939651","title":"Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity","display_name":"Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4308654591","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939651"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc54400.2022.9939651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5026872115","display_name":"Foroozan Karimzadeh","orcid":"https://orcid.org/0000-0001-8849-7784"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Foroozan Karimzadeh","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijit Raychowdhury","raw_affiliation_strings":["Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia,30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026872115"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.5033,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64138355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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":0.9958000183105469,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9800000190734863,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9771000146865845,"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":0.7744737863540649},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6021769642829895},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5555098652839661},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5546813011169434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5364646911621094},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.48942580819129944},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4809657633304596},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38367128372192383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.335430383682251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31999796628952026},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2670716643333435},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.2105376422405243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1045856773853302},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08610472083091736},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06973260641098022},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06648802757263184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744737863540649},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6021769642829895},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5555098652839661},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5546813011169434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5364646911621094},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.48942580819129944},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4809657633304596},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38367128372192383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335430383682251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31999796628952026},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2670716643333435},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.2105376422405243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1045856773853302},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08610472083091736},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06973260641098022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06648802757263184},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc54400.2022.9939651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W3003175769","https://openalex.org/W3091350994","https://openalex.org/W3135839634","https://openalex.org/W4210261411","https://openalex.org/W6677580257","https://openalex.org/W6773270737"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W3201779876","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3113627641","https://openalex.org/W4238142035","https://openalex.org/W2885461866","https://openalex.org/W3191964704","https://openalex.org/W2901937988","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0],"rising":[1],"popularity":[2],"of":[3],"deep":[4],"neural":[5],"network":[6,33],"(DNN)":[7],"algorithms":[8],"calls":[9],"for":[10,71],"energy-efficient":[11],"accelerators":[12],"to":[13,34,59,67,79],"enable":[14],"DNNs":[15],"run":[16],"on":[17,74],"edge":[18],"devices.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"presented":[24],"BitS-Net,":[25],"a":[26],"bit-level":[27],"sparsity":[28],"method":[29],"that":[30,46],"quantize":[31],"the":[32,50,60,75,80],"desirable":[35],"numbers":[36],"with":[37,54],"more":[38],"zeros":[39],"in":[40],"their":[41],"bit":[42],"representation.":[43],"We":[44],"demonstrated":[45],"BitS-Net":[47],"can":[48],"preserve":[49],"accuracy":[51,55],"(67.73":[52],"%)":[53],"drop":[56],"\u00a11%":[57],"compared":[58,78],"original":[61],"network.":[62],"Moreover,":[63],"it":[64],"achieved":[65],"up":[66],"5x":[68],"energy":[69],"efficiency":[70],"ResNet-18":[72],"models":[73],"ImageNet":[76],"dataset":[77],"baseline":[81],"methods.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
