{"id":"https://openalex.org/W4378573650","doi":"https://doi.org/10.1145/3600092","title":"Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs","display_name":"Accelerating Convolutional Neural Network by Exploiting Sparsity on GPUs","publication_year":2023,"publication_date":"2023-05-27","ids":{"openalex":"https://openalex.org/W4378573650","doi":"https://doi.org/10.1145/3600092"},"language":"en","primary_location":{"id":"doi:10.1145/3600092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600092","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3600092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100614421","display_name":"Weizhi Xu","orcid":"https://orcid.org/0000-0002-1211-1889"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Weizhi Xu","raw_affiliation_strings":["Shandong Normal University and University of Houston","School of Information Science and Engineering, Shandong Normal University, China and Dept. of Electrical & Computer Engineering, University of Houston, USA"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University and University of Houston","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China and Dept. of Electrical & Computer Engineering, University of Houston, USA","institution_ids":["https://openalex.org/I28006308","https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020012267","display_name":"Yintai Sun","orcid":"https://orcid.org/0000-0002-4938-5015"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yintai Sun","raw_affiliation_strings":["Shandong Normal University","School of Information Science and Engineering, Shandong Normal University, China"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101554126","display_name":"Shengyu Fan","orcid":"https://orcid.org/0009-0009-9160-8540"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Fan","raw_affiliation_strings":["Shandong Normal University","School of Information Science and Engineering, Shandong Normal University, China"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648584","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-1769-1114"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["Shandong Normal University and University of Houston","School of Information Science and Engineering, Shandong Normal University, China and Dept. of Electrical & Computer Engineering, University of Houston, USA"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University and University of Houston","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, China and Dept. of Electrical & Computer Engineering, University of Houston, USA","institution_ids":["https://openalex.org/I28006308","https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016298390","display_name":"Xin Fu","orcid":"https://orcid.org/0000-0002-9458-4769"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Fu","raw_affiliation_strings":["University of Houston","Dept. of Electrical & Computer Engineering, University of Houston, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Houston, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100614421"],"corresponding_institution_ids":["https://openalex.org/I28006308","https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.7164,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71601587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"3","first_page":"1","last_page":"26"},"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/T10812","display_name":"Human Pose and Action Recognition","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/T11307","display_name":"Domain Adaptation and Few-Shot 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8780977725982666},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7602157592773438},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7009815573692322},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.69075608253479},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6229074597358704},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5172791481018066},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5064481496810913},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4823862612247467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47484686970710754},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4509439468383789},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4337294101715088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43096524477005005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41928404569625854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3588167726993561},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.13305717706680298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8780977725982666},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7602157592773438},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7009815573692322},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.69075608253479},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6229074597358704},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5172791481018066},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5064481496810913},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4823862612247467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47484686970710754},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4509439468383789},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4337294101715088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43096524477005005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41928404569625854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3588167726993561},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.13305717706680298},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600092","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3600092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600092","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G113617909","display_name":"SHF: Small: Enabling On-Device Bayesian Neural Network Training via An Integrated Architecture-System Approach","funder_award_id":"2130688","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1544834814","display_name":null,"funder_award_id":"190090","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1675837218","display_name":null,"funder_award_id":"ZR2022MF328","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2429012737","display_name":null,"funder_award_id":"ZR2019LZH014 and ZR2022MF328","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2471282032","display_name":null,"funder_award_id":"CCF-2130688","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2954701993","display_name":null,"funder_award_id":"ZR2022","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3497226477","display_name":null,"funder_award_id":"ZR2019","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4737875292","display_name":null,"funder_award_id":"61602285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5296873446","display_name":null,"funder_award_id":"ZR2019LZH014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6081010271","display_name":null,"funder_award_id":"61602284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G608411721","display_name":"SHF: Medium: Collaborative Research: Enhancing Mobile VR/AR User Experience: An Integrated Architecture-System Approach","funder_award_id":"1900904","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G754211391","display_name":null,"funder_award_id":"61602284 and 61602285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8062967717","display_name":"Signing Glossaries for Science Exhibits","funder_award_id":"1602284","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G829497801","display_name":null,"funder_award_id":"ZR2019LZH014","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8333557126","display_name":null,"funder_award_id":"CCF-1900904","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320338074","display_name":"Government of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378573650.pdf","grobid_xml":"https://content.openalex.org/works/W4378573650.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W164384110","https://openalex.org/W1922123711","https://openalex.org/W1982825626","https://openalex.org/W2002257715","https://openalex.org/W2002660890","https://openalex.org/W2043607059","https://openalex.org/W2044535169","https://openalex.org/W2094756095","https://openalex.org/W2105339504","https://openalex.org/W2139774022","https://openalex.org/W2155503253","https://openalex.org/W2155893237","https://openalex.org/W2166173062","https://openalex.org/W2172654076","https://openalex.org/W2295030615","https://openalex.org/W2575006718","https://openalex.org/W2606722458","https://openalex.org/W2613989746","https://openalex.org/W2617247391","https://openalex.org/W2618403665","https://openalex.org/W2716665989","https://openalex.org/W2773339846","https://openalex.org/W2788264912","https://openalex.org/W2808128431","https://openalex.org/W2810861508","https://openalex.org/W2884361556","https://openalex.org/W2895540242","https://openalex.org/W2896983500","https://openalex.org/W2899244816","https://openalex.org/W2906043559","https://openalex.org/W2911787226","https://openalex.org/W2913790721","https://openalex.org/W2934222362","https://openalex.org/W2947516189","https://openalex.org/W2953915593","https://openalex.org/W2960539173","https://openalex.org/W2962902328","https://openalex.org/W2963000224","https://openalex.org/W2963340555","https://openalex.org/W2963343843","https://openalex.org/W2963625095","https://openalex.org/W2964189376","https://openalex.org/W2970971581","https://openalex.org/W2979429416","https://openalex.org/W2979439447","https://openalex.org/W3003643756","https://openalex.org/W3004171485","https://openalex.org/W3012504067","https://openalex.org/W3037484309","https://openalex.org/W3081486497","https://openalex.org/W3090912412","https://openalex.org/W3102587717","https://openalex.org/W3114479342","https://openalex.org/W3134495297","https://openalex.org/W3136309901","https://openalex.org/W3148609646","https://openalex.org/W3154652843","https://openalex.org/W3158020960","https://openalex.org/W3159782774","https://openalex.org/W3173421220","https://openalex.org/W4220912491","https://openalex.org/W4224612674","https://openalex.org/W4232973962","https://openalex.org/W4236868170","https://openalex.org/W4236965008","https://openalex.org/W4253012315","https://openalex.org/W4281658036","https://openalex.org/W4295312788","https://openalex.org/W4302296459","https://openalex.org/W4307887693","https://openalex.org/W4308075209","https://openalex.org/W6637151318","https://openalex.org/W6725543821","https://openalex.org/W6846451075"],"related_works":["https://openalex.org/W2020279179","https://openalex.org/W2503137108","https://openalex.org/W2119534391","https://openalex.org/W1966576946","https://openalex.org/W2023770367","https://openalex.org/W2062253548","https://openalex.org/W2393490604","https://openalex.org/W2393707426","https://openalex.org/W2146871484","https://openalex.org/W3203633922"],"abstract_inverted_index":{"The":[0,198],"convolutional":[1],"neural":[2],"network":[3],"(CNN)":[4],"is":[5,12,20],"an":[6],"important":[7],"deep":[8],"learning":[9],"method,":[10],"which":[11,46],"widely":[13],"used":[14,58],"in":[15,41,139],"many":[16,38],"fields.":[17],"However,":[18],"it":[19],"very":[21],"time":[22,81],"consuming":[23],"to":[24,48,59,70,77,113,123,149,159],"implement":[25],"the":[26,34,72,79,83,86,96,99,115,125,137,140,151,155,162,212],"CNN":[27,170],"where":[28],"convolution":[29,152],"usually":[30],"takes":[31],"most":[32],"of":[33,68,82,98,128],"time.":[35],"There":[36],"are":[37,57,194,203],"zero":[39,75,129],"values":[40,76,130],"feature":[42,100,116,141],"maps":[43],"and":[44,51,102,172,179,185,190,207],"filters,":[45],"leads":[47],"redundant":[49,126],"calculations":[50,73],"memory":[52],"accesses":[53],"if":[54],"dense":[55],"methods":[56],"compute":[60],"convolution.":[61],"Many":[62],"works":[63,92],"recently":[64],"have":[65],"made":[66],"use":[67],"sparsity":[69,97,138],"skip":[71],"for":[74],"reduce":[78],"inference":[80],"CNN.":[84],"On":[85],"graphics":[87,132],"processing":[88,133],"unit":[89],"platform,":[90],"current":[91],"cannot":[93],"fully":[94],"exploit":[95],"map":[101,117],"achieve":[103,173],"satisfactory":[104],"performance.":[105,163],"Therefore,":[106],"we":[107,143],"design":[108],"a":[109,119,145],"new":[110,120],"parallel":[111],"strategy":[112],"transform":[114],"into":[118],"storage":[121,147],"format":[122,148],"avoid":[124],"computation":[127],"on":[131],"units.":[134],"Also":[135],"considering":[136],"map,":[142],"propose":[144],"fused":[146],"combine":[150],"operation":[153],"with":[154,168,177],"following":[156],"pooling":[157],"operation,":[158],"further":[160],"improve":[161],"We":[164],"carry":[165],"out":[166],"experiments":[167],"mainstream":[169],"models":[171],"better":[174],"performance":[175],"compared":[176],"cuDNN":[178],"cuSPARSE.":[180],"For":[181],"VGG-19,":[182],"ResNet-50,":[183],"DenseNet-121,":[184],"RegNetX-16GF,":[186],"1.97\u00d7,":[187],"2.23\u00d7,":[188],"2.74\u00d7,":[189],"1.58\u00d7":[191],"speedups":[192,199],"respectively":[193,202],"obtained":[195],"over":[196,200],"cuDNN.":[197],"cuSPARSE":[201],"2.10\u00d7,":[204],"1.83\u00d7,":[205],"2.35\u00d7,":[206],"1.35\u00d7":[208],"when":[209],"only":[210],"using":[211],"first":[213],"method.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
