{"id":"https://openalex.org/W3011832990","doi":"https://doi.org/10.1109/sips47522.2019.9020615","title":"Parallel Convolutional Neural Network (CNN) Accelerators Based on Stochastic Computing","display_name":"Parallel Convolutional Neural Network (CNN) Accelerators Based on Stochastic Computing","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3011832990","doi":"https://doi.org/10.1109/sips47522.2019.9020615","mag":"3011832990"},"language":"en","primary_location":{"id":"doi:10.1109/sips47522.2019.9020615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips47522.2019.9020615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Workshop on Signal Processing Systems (SiPS)","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/A5100692586","display_name":"Yawen Zhang","orcid":"https://orcid.org/0000-0003-2935-6089"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yawen Zhang","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319962","display_name":"Xinyue Zhang","orcid":"https://orcid.org/0000-0002-4243-083X"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Zhang","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011379172","display_name":"Jiahao Song","orcid":"https://orcid.org/0000-0001-6296-1905"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Song","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002438548","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-4951-4286"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062886480","display_name":"Ru Huang","orcid":"https://orcid.org/0000-0002-8146-4821"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Huang","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002760019","display_name":"Runsheng Wang","orcid":"https://orcid.org/0000-0002-7514-0767"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runsheng Wang","raw_affiliation_strings":["Institute of Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100692586"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210119392"],"apc_list":null,"apc_paid":null,"fwci":2.4757,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90457006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9965000152587891,"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/stochastic-computing","display_name":"Stochastic computing","score":0.9508775472640991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8407353162765503},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.7766163349151611},{"id":"https://openalex.org/keywords/random-number-generation","display_name":"Random number generation","score":0.6069637537002563},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5638853311538696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5295642018318176},{"id":"https://openalex.org/keywords/pseudorandom-number-generator","display_name":"Pseudorandom number generator","score":0.46550777554512024},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4645509421825409},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.43473803997039795},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3422679305076599},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.329037070274353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27134352922439575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16529816389083862}],"concepts":[{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.9508775472640991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8407353162765503},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.7766163349151611},{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.6069637537002563},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5638853311538696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5295642018318176},{"id":"https://openalex.org/C140642157","wikidata":"https://www.wikidata.org/wiki/Q1623338","display_name":"Pseudorandom number generator","level":2,"score":0.46550777554512024},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4645509421825409},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.43473803997039795},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3422679305076599},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.329037070274353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27134352922439575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16529816389083862},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips47522.2019.9020615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips47522.2019.9020615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1993617052","https://openalex.org/W2010588734","https://openalex.org/W2014307680","https://openalex.org/W2101765144","https://openalex.org/W2117130368","https://openalex.org/W2151770284","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2293282867","https://openalex.org/W2402098947","https://openalex.org/W2533474659","https://openalex.org/W2579041139","https://openalex.org/W2587415333","https://openalex.org/W2625226188","https://openalex.org/W2758418739","https://openalex.org/W2768346157","https://openalex.org/W2787552667","https://openalex.org/W2793168176","https://openalex.org/W2885946716","https://openalex.org/W2966138862","https://openalex.org/W2968764098","https://openalex.org/W3011832990","https://openalex.org/W3103791884","https://openalex.org/W4231881348","https://openalex.org/W4241797466","https://openalex.org/W4243261588","https://openalex.org/W4247637688","https://openalex.org/W4251846933","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2104480405","https://openalex.org/W2984357801","https://openalex.org/W2772380824","https://openalex.org/W4378881683","https://openalex.org/W2062045810","https://openalex.org/W1534576401","https://openalex.org/W2988803943","https://openalex.org/W4213061603","https://openalex.org/W2068428530","https://openalex.org/W3124991594"],"abstract_inverted_index":{"Stochastic":[0],"computing":[1],"(SC),":[2],"which":[3,77],"processes":[4],"the":[5,8,29,55,87],"data":[6],"in":[7,17,75],"form":[9],"of":[10,48,57,71,101],"random":[11,42],"bit":[12,73],"streams,":[13],"has":[14],"been":[15],"used":[16],"neural":[18,35,103],"networks":[19],"due":[20],"to":[21],"simple":[22],"logic":[23],"gates":[24],"performing":[25],"complex":[26],"arithmetic":[27],"and":[28,44,84,110],"inherent":[30],"high":[31,40],"error-tolerance.":[32],"However,":[33],"SC-based":[34],"network":[36,104],"accelerators":[37],"suffer":[38],"from":[39],"latency,":[41],"fluctuations,":[43],"large":[45],"hardware":[46,88],"cost":[47],"pseudo-random":[49],"number":[50],"generators":[51],"(PRNG),":[52],"thus":[53],"diminishing":[54],"advantages":[56],"stochastic":[58],"computing.":[59],"In":[60],"this":[61,92],"paper,":[62],"we":[63,96],"address":[64],"these":[65],"problems":[66],"with":[67,108],"a":[68],"novel":[69],"technique":[70],"generating":[72],"streams":[74],"parallel,":[76],"needs":[78],"only":[79],"one":[80],"clock":[81],"for":[82,117],"conversion":[83],"significantly":[85],"reduces":[86],"cost.":[89],"Based":[90],"on":[91],"parallel":[93],"bitstream":[94],"generator,":[95],"further":[97],"present":[98],"two":[99],"kinds":[100],"convolutional":[102],"(CNN)":[105],"accelerator":[106],"architectures":[107],"digital":[109],"analog":[111],"circuits,":[112],"respectively,":[113],"showing":[114],"great":[115],"potential":[116],"low-power":[118],"applications.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}