{"id":"https://openalex.org/W4316658838","doi":"https://doi.org/10.1109/mcsoc57363.2022.00042","title":"Digital Computation-in-Memory Design with Adaptive Floating Point for Deep Neural Networks","display_name":"Digital Computation-in-Memory Design with Adaptive Floating Point for Deep Neural Networks","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4316658838","doi":"https://doi.org/10.1109/mcsoc57363.2022.00042"},"language":"en","primary_location":{"id":"doi:10.1109/mcsoc57363.2022.00042","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mcsoc57363.2022.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113782164","display_name":"Yunru Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yun-Ru Yang","raw_affiliation_strings":["International College of Semiconductor Technology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International College of Semiconductor Technology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002275070","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0003-4769-9261"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Institute of Electronics, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066525875","display_name":"Po-Tsang Huang","orcid":"https://orcid.org/0000-0001-8679-2755"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Tsang Huang","raw_affiliation_strings":["International College of Semiconductor Technology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International College of Semiconductor Technology, National Yang Ming Chiao Tung University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021615416","display_name":"Hung-Ming Chen","orcid":"https://orcid.org/0000-0001-8173-3131"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Ming Chen","raw_affiliation_strings":["Institute of Electronics, National Yang Ming Chiao Tung University,Taiwan","Institute of Electronics, National Yang Ming Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.9984999895095825,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9975000023841858,"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":0.7604954242706299},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6572338342666626},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6067854166030884},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5999283194541931},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5958347916603088},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.5515826940536499},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5440702438354492},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5139526724815369},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.5137544870376587},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.48001545667648315},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.47800078988075256},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4666215181350708},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4646766781806946},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34502339363098145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27515101432800293},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2488708198070526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22060421109199524},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.1598387062549591},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11078715324401855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604954242706299},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6572338342666626},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6067854166030884},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5999283194541931},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5958347916603088},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.5515826940536499},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5440702438354492},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5139526724815369},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.5137544870376587},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.48001545667648315},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.47800078988075256},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4666215181350708},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4646766781806946},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34502339363098145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27515101432800293},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2488708198070526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22060421109199524},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.1598387062549591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11078715324401855},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1109/mcsoc57363.2022.00042","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mcsoc57363.2022.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2289252105","https://openalex.org/W2469490737","https://openalex.org/W2884367402","https://openalex.org/W2919115771","https://openalex.org/W2979042679","https://openalex.org/W3015432327","https://openalex.org/W3016014942","https://openalex.org/W3092209569","https://openalex.org/W3134526034","https://openalex.org/W3137147200","https://openalex.org/W4221101426","https://openalex.org/W6720242923"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W4390550886","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W3217463396","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W3037505396","https://openalex.org/W4280610722","https://openalex.org/W3185228140"],"abstract_inverted_index":{"All-digital":[0],"deep":[1],"neural":[2],"network":[3],"(DNN)":[4],"accelerators":[5],"or":[6,137],"processors":[7],"suffer":[8],"from":[9],"the":[10,15,26,31,34,38,42,53,59,68,73,76,84,108,112,117,123,135,145,158],"Von-Neumann":[11],"bottleneck,":[12],"because":[13],"of":[14,58,79,148],"massive":[16],"data":[17,27,151],"movement":[18,28],"required":[19],"in":[20,33],"DNNs.":[21],"Computation-in-memory":[22],"(CIM)":[23],"can":[24,133,156],"reduce":[25,107],"by":[29,52],"performing":[30],"computations":[32],"memory":[35],"to":[36,47,75,106,143,165,171],"save":[37],"above":[39],"problem.":[40],"However,":[41],"analog":[43],"CIM":[44,62],"is":[45,104],"susceptible":[46],"PVT":[48],"variations":[49],"and":[50,67,110,121,150,161,167],"limited":[51],"analog-digital/digital-analog":[54],"conversions":[55],"(ADC/DAC).":[56],"Most":[57],"current":[60],"digital":[61,174],"techniques":[63],"adopt":[64],"integer":[65,141],"operation":[66],"bit-serial":[69],"method,":[70],"which":[71,89,132],"limits":[72],"throughput":[74,160],"total":[77],"number":[78],"bits.":[80],"Moreover,":[81],"they":[82],"use":[83],"adder":[85],"tree":[86],"for":[87],"accumulation,":[88],"causes":[90],"severe":[91],"area":[92,109],"overhead.":[93],"In":[94],"this":[95],"paper,":[96],"a":[97],"folded":[98],"architecture":[99],"based":[100],"on":[101],"time-division":[102],"multiplexing":[103],"proposed":[105,154],"improve":[111,144,157],"energy":[113,146,162],"efficiency":[114,163],"without":[115],"reducing":[116],"throughput.":[118],"We":[119],"quantize":[120],"ternarize":[122],"adaptive":[124],"floating":[125],"point":[126],"(ADP)":[127],"format":[128],"with":[129,176],"low":[130],"bits,":[131],"achieve":[134],"same":[136],"better":[138],"accuracy":[139],"than":[140],"quantization,":[142],"cost":[147],"calculation":[149],"movement.":[152],"This":[153],"technique":[155],"overall":[159],"up":[164],"3.83x":[166],"2.19x,":[168],"respectively,":[169],"compared":[170],"other":[172],"state-of-the-art":[173],"CIMs":[175],"integer.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}