{"id":"https://openalex.org/W2953915593","doi":"https://doi.org/10.1109/tc.2019.2924215","title":"SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules","display_name":"SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2953915593","doi":"https://doi.org/10.1109/tc.2019.2924215","mag":"2953915593"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2019.2924215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2019.2924215","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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/A5100352041","display_name":"Jiajun Li","orcid":"https://orcid.org/0000-0002-7208-9345"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Li","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7208-9345","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034121567","display_name":"Shuhao Jiang","orcid":"https://orcid.org/0000-0002-7706-063X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhao Jiang","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101372514","display_name":"Shijun Gong","orcid":"https://orcid.org/0000-0002-0887-316X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Gong","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018329525","display_name":"Jingya Wu","orcid":"https://orcid.org/0000-0003-4938-5899"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingya Wu","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012650","display_name":"Junchao Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchao Yan","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1254-3278","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015435942","display_name":"Guihai Yan","orcid":"https://orcid.org/0000-0002-1254-3278"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Yan","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023380073","display_name":"Xiaowei Li","orcid":"https://orcid.org/0000-0002-0874-814X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Li","raw_affiliation_strings":["State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0874-814X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1833,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.92803884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"68","issue":"11","first_page":"1663","last_page":"1677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9976000189781189,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9968000054359436,"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":0.812912106513977},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.7898845672607422},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7528762817382812},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6646074652671814},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6405559182167053},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6254291534423828},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6040205359458923},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5451355576515198},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4459359645843506},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.417306512594223},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3844184875488281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3263274133205414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28684476017951965},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20713484287261963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09212461113929749},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07688504457473755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812912106513977},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.7898845672607422},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7528762817382812},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6646074652671814},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6405559182167053},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6254291534423828},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6040205359458923},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5451355576515198},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4459359645843506},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.417306512594223},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3844184875488281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3263274133205414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28684476017951965},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20713484287261963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09212461113929749},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07688504457473755},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2019.2924215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2019.2924215","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1051257415","display_name":"\u5dee\u9519\u5bb9\u5fcd\u8ba1\u7b97\u5668\u4ef6\u57fa\u7840\u7406\u8bba\u4e0e\u65b9\u6cd5","funder_award_id":"61432017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2122852399","display_name":"\u96c6\u6210\u7535\u8def\u5b89\u5168\u9690\u60a3\u68c0\u6d4b\u7684\u7406\u8bba\u4e0e\u65b9\u6cd5","funder_award_id":"61532017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2883852234","display_name":"\u8f6f\u4ef6\u5b9a\u4e49\u4e13\u7528\u8ba1\u7b97\u4f53\u7cfb\u7ed3\u6784\u8bbe\u8ba1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4853362136","display_name":"\u5927\u89c4\u6a21\u5f02\u6784\u8ba1\u7b97\u7cfb\u7edf\u9ad8\u65f6\u6548\u534f\u540c\u529f\u8017\u7ba1\u7406\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61572470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6496145672","display_name":null,"funder_award_id":"61376043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7181024573","display_name":null,"funder_award_id":"Y404441000","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G8380396287","display_name":null,"funder_award_id":"61521092","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"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W151246516","https://openalex.org/W1533471646","https://openalex.org/W1686810756","https://openalex.org/W1964471912","https://openalex.org/W1964836692","https://openalex.org/W1968422655","https://openalex.org/W1990832096","https://openalex.org/W2000967104","https://openalex.org/W2017509362","https://openalex.org/W2043670592","https://openalex.org/W2048266589","https://openalex.org/W2067523571","https://openalex.org/W2094756095","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2102543317","https://openalex.org/W2105102111","https://openalex.org/W2108665656","https://openalex.org/W2117696986","https://openalex.org/W2119144962","https://openalex.org/W2120480077","https://openalex.org/W2125199814","https://openalex.org/W2128853364","https://openalex.org/W2133257461","https://openalex.org/W2137525015","https://openalex.org/W2145889472","https://openalex.org/W2148461049","https://openalex.org/W2152516042","https://openalex.org/W2152839228","https://openalex.org/W2160428323","https://openalex.org/W2162390675","https://openalex.org/W2163605009","https://openalex.org/W2172174689","https://openalex.org/W2257979135","https://openalex.org/W2276486856","https://openalex.org/W2285660444","https://openalex.org/W2294282016","https://openalex.org/W2442974303","https://openalex.org/W2466675884","https://openalex.org/W2516141709","https://openalex.org/W2565305208","https://openalex.org/W2565851976","https://openalex.org/W2594492285","https://openalex.org/W2605487586","https://openalex.org/W2606722458","https://openalex.org/W2612076670","https://openalex.org/W2625457103","https://openalex.org/W2736953746","https://openalex.org/W2756031739","https://openalex.org/W2790925711","https://openalex.org/W2798299359","https://openalex.org/W2798317693","https://openalex.org/W2906374897","https://openalex.org/W2910507280","https://openalex.org/W2963594949","https://openalex.org/W2963674932","https://openalex.org/W2964299589","https://openalex.org/W2997828269","https://openalex.org/W4234863022","https://openalex.org/W4240168186","https://openalex.org/W4247470470","https://openalex.org/W4249932213","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6676231525","https://openalex.org/W6677580257","https://openalex.org/W6678605168","https://openalex.org/W6679718588","https://openalex.org/W6681813608","https://openalex.org/W6683722107","https://openalex.org/W6684191040","https://openalex.org/W6684753728","https://openalex.org/W6980131721"],"related_works":["https://openalex.org/W4323831447","https://openalex.org/W1594844924","https://openalex.org/W2963993660","https://openalex.org/W2989991345","https://openalex.org/W2796942851","https://openalex.org/W2042026112","https://openalex.org/W1519611381","https://openalex.org/W2791204867","https://openalex.org/W2095778784","https://openalex.org/W2537455120"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8],"machine":[9],"learning":[10],"tasks.":[11],"While":[12],"delivering":[13],"state-of-the-art":[14,168],"accuracy,":[15],"CNNs":[16],"are":[17],"known":[18],"as":[19,63,65],"both":[20],"compute-":[21],"and":[22,60,115,140,146,159,164],"memory-intensive.":[23],"This":[24],"paper":[25],"presents":[26],"the":[27,56,66,84,89,101,134,157,167],"SqueezeFlow":[28,48,77,124,155],"accelerator":[29],"architecture":[30],"that":[31,43,82,123],"exploits":[32,49],"sparsity":[33],"of":[34,58,68,91,109,117,128,143],"CNN":[35,92],"models":[36],"for":[37,46],"increased":[38],"efficiency.":[39],"Unlike":[40],"prior":[41],"accelerators":[42],"trade":[44],"complexity":[45],"flexibility,":[47],"concise":[50],"convolution":[51],"rules":[52],"to":[53,100,133],"benefit":[54],"from":[55],"reduction":[57],"computation":[59],"memory":[61],"accesses":[62],"well":[64],"acceleration":[67],"existing":[69],"dense":[70,135],"architectures":[71],"without":[72],"intrusive":[73],"PE":[74],"modifications.":[75],"Specifically,":[76],"employs":[78],"a":[79,96,126],"PT-OS-sparse":[80],"dataflow":[81],"removes":[83],"ineffective":[85],"computations":[86],"while":[87],"maintaining":[88],"regularity":[90],"computations.":[93],"We":[94],"present":[95],"full":[97],"design":[98],"down":[99],"layout":[102],"at":[103],"65":[104],"nm,":[105],"with":[106,137],"an":[107,138],"area":[108,139],"4.80":[110],"mm":[111],"<sup":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[114],"power":[116,141],"536.09":[118],"mW.":[119],"The":[120],"experiments":[121],"show":[122],"achieves":[125],"speedup":[127],"2:9\u00d7":[129],"on":[130],"VGG16":[131],"compared":[132],"architectures,":[136],"overhead":[142],"only":[144],"8.8":[145],"15.3":[147],"percent,":[148],"respectively.":[149],"On":[150],"three":[151],"representative":[152],"sparse":[153,169],"CNNs,":[154],"improves":[156],"performance":[158],"energy":[160],"efficiency":[161],"by":[162],"1:8\u00d7":[163],"1:5\u00d7":[165],"over":[166],"accelerators.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
