{"id":"https://openalex.org/W4281708367","doi":"https://doi.org/10.1145/3470496.3527404","title":"Anticipating and eliminating redundant computations in accelerated sparse training","display_name":"Anticipating and eliminating redundant computations in accelerated sparse training","publication_year":2022,"publication_date":"2022-05-31","ids":{"openalex":"https://openalex.org/W4281708367","doi":"https://doi.org/10.1145/3470496.3527404"},"language":"en","primary_location":{"id":"doi:10.1145/3470496.3527404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3470496.3527404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th Annual International Symposium on Computer Architecture","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/A5013836260","display_name":"Jonathan Lew","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jonathan S. Lew","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108058498","display_name":"Yunpeng Liu","orcid":"https://orcid.org/0000-0002-0959-0209"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yunpeng Liu","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075543597","display_name":"Wen-Yi Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wenyi Gong","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015392786","display_name":"Negar Goli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Negar Goli","raw_affiliation_strings":["Huawei Technologies, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110817450","display_name":"R. David Evans","orcid":null},"institutions":[{"id":"https://openalex.org/I84117484","display_name":"Coll\u00e8ge Bor\u00e9al","ror":"https://ror.org/0561z3j45","country_code":"CA","type":"education","lineage":["https://openalex.org/I84117484"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. David Evans","raw_affiliation_strings":["Borealis AI, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Borealis AI, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I84117484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026788167","display_name":"Tor M. Aamodt","orcid":"https://orcid.org/0000-0003-1161-692X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tor M. Aamodt","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013836260"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":0.7146,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69909199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"536","last_page":"551"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T12676","display_name":"Machine Learning and ELM","score":0.9980000257492065,"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/convolution","display_name":"Convolution (computer science)","score":0.8435670137405396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435844540596008},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6377385258674622},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5561474561691284},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.443452388048172},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.43540117144584656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42687541246414185},{"id":"https://openalex.org/keywords/cartesian-product","display_name":"Cartesian product","score":0.425794780254364},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3840833902359009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3560855984687805},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.35348814725875854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33698615431785583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14689034223556519},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06401202082633972}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.8435670137405396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435844540596008},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6377385258674622},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5561474561691284},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.443452388048172},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.43540117144584656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42687541246414185},{"id":"https://openalex.org/C65236422","wikidata":"https://www.wikidata.org/wiki/Q173740","display_name":"Cartesian product","level":2,"score":0.425794780254364},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3840833902359009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3560855984687805},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.35348814725875854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33698615431785583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14689034223556519},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06401202082633972},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3470496.3527404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3470496.3527404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th Annual International Symposium on Computer Architecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9200000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2048266589","https://openalex.org/W2054095206","https://openalex.org/W2055911634","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2120000030","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2516141709","https://openalex.org/W2524428287","https://openalex.org/W2541839172","https://openalex.org/W2604319603","https://openalex.org/W2606722458","https://openalex.org/W2625457103","https://openalex.org/W2794952988","https://openalex.org/W2798170643","https://openalex.org/W2808168148","https://openalex.org/W2900228909","https://openalex.org/W2931118404","https://openalex.org/W2945146780","https://openalex.org/W2951882630","https://openalex.org/W2962821792","https://openalex.org/W2963363373","https://openalex.org/W2971115712","https://openalex.org/W2979439447","https://openalex.org/W2980186997","https://openalex.org/W2984140583","https://openalex.org/W3006732000","https://openalex.org/W3016542674","https://openalex.org/W3036601975","https://openalex.org/W3036878841","https://openalex.org/W3043802286","https://openalex.org/W3102587717","https://openalex.org/W3104263540","https://openalex.org/W3105802176","https://openalex.org/W3127736057","https://openalex.org/W3187481008","https://openalex.org/W3187908937","https://openalex.org/W3190062760","https://openalex.org/W4230989867","https://openalex.org/W4240168186","https://openalex.org/W4288083528"],"related_works":["https://openalex.org/W2949097972","https://openalex.org/W2141418112","https://openalex.org/W2738565459","https://openalex.org/W3163064202","https://openalex.org/W4299640900","https://openalex.org/W3159629589","https://openalex.org/W2601112296","https://openalex.org/W2964954556","https://openalex.org/W4321636545","https://openalex.org/W2023476765"],"abstract_inverted_index":{"Deep":[0],"Neural":[1,39],"Networks":[2],"(DNNs)":[3],"are":[4,65,108],"the":[5,58,112,121],"state":[6],"of":[7,106,114,124],"art":[8],"in":[9,100],"image,":[10],"speech,":[11],"and":[12,20,34,95],"text":[13],"processing.":[14],"To":[15],"address":[16],"long":[17],"training":[18,44],"times":[19],"high":[21],"energy":[22,93],"consumption,":[23],"custom":[24],"accelerators":[25,42],"can":[26],"exploit":[27],"sparsity,":[28],"that":[29,79,99],"is":[30],"zero-valued":[31],"weights,":[32],"activations,":[33],"gradients.":[35],"Proposed":[36],"sparse":[37,51,101],"Convolution":[38],"Network":[40],"(CNN)":[41],"support":[43],"with":[45],"no":[46],"more":[47],"than":[48],"one":[49],"dynamic":[50,63],"convolution":[52,72,113],"input.":[53],"Among":[54],"existing":[55],"accelerator":[56],"classes,":[57],"only":[59],"ones":[60],"supporting":[61],"two-sided":[62],"sparsity":[64],"outer-product-based":[66],"accelerators.":[67],"However,":[68],"when":[69],"mapping":[70],"a":[71],"onto":[73],"an":[74],"outer":[75],"product,":[76],"multiplications":[77],"occur":[78],"do":[80],"not":[81],"correspond":[82],"to":[83,104],"any":[84],"valid":[85],"output.":[86],"These":[87],"Redundant":[88],"Cartesian":[89],"Products":[90],"(RCPs)":[91],"decrease":[92],"efficiency":[94],"performance.":[96],"We":[97],"observe":[98],"training,":[102],"up":[103],"90%":[105],"computations":[107],"RCPs":[109],"resulting":[110],"from":[111],"large":[115],"matrices":[116],"for":[117],"weight":[118],"updates":[119],"during":[120],"backward":[122],"pass":[123],"CNN":[125],"training.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}