{"id":"https://openalex.org/W2982464808","doi":"https://doi.org/10.1145/3545008.3545042","title":"Vectorizing SpMV by Exploiting Dynamic Regular Patterns","display_name":"Vectorizing SpMV by Exploiting Dynamic Regular Patterns","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W2982464808","doi":"https://doi.org/10.1145/3545008.3545042","mag":"2982464808"},"language":"en","primary_location":{"id":"doi:10.1145/3545008.3545042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545008.3545042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.13346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100683033","display_name":"Xin You","orcid":"https://orcid.org/0000-0002-5163-4607"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin You","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101869479","display_name":"Changxi Liu","orcid":"https://orcid.org/0000-0001-9240-5926"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Changxi Liu","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018705589","display_name":"Hailong Yang","orcid":"https://orcid.org/0000-0003-1101-7927"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Yang","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704040","display_name":"Pengbo Wang","orcid":"https://orcid.org/0009-0001-7197-2873"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengbo Wang","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074183877","display_name":"Zhongzhi Luan","orcid":"https://orcid.org/0000-0002-7186-0556"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhi Luan","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079362609","display_name":"Depei Qian","orcid":"https://orcid.org/0000-0002-5382-1473"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depei Qian","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8662,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83405018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9988999962806702,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9950000047683716,"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":0.8957741260528564},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.7576017379760742},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.7369982600212097},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6924211978912354},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.568191409111023},{"id":"https://openalex.org/keywords/compile-time","display_name":"Compile time","score":0.48128026723861694},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46971505880355835},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.430858850479126},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.350257933139801},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1892041563987732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8957741260528564},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7576017379760742},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.7369982600212097},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6924211978912354},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.568191409111023},{"id":"https://openalex.org/C200833197","wikidata":"https://www.wikidata.org/wiki/Q333707","display_name":"Compile time","level":3,"score":0.48128026723861694},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46971505880355835},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.430858850479126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.350257933139801},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1892041563987732},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3545008.3545042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545008.3545042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st International Conference on Parallel Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.13346","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.13346","pdf_url":"https://arxiv.org/pdf/1910.13346","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.13346","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.13346","pdf_url":"https://arxiv.org/pdf/1910.13346","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1378380340","display_name":null,"funder_award_id":"2020YFB1506703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8216898045","display_name":null,"funder_award_id":"62072018, 61732002","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1605308404","https://openalex.org/W1835670156","https://openalex.org/W1935978687","https://openalex.org/W1963966054","https://openalex.org/W1967846636","https://openalex.org/W1981772986","https://openalex.org/W1982733412","https://openalex.org/W1987840949","https://openalex.org/W1993704253","https://openalex.org/W2009654791","https://openalex.org/W2028914463","https://openalex.org/W2035080386","https://openalex.org/W2053999255","https://openalex.org/W2055312318","https://openalex.org/W2090268225","https://openalex.org/W2097061393","https://openalex.org/W2111667319","https://openalex.org/W2117197583","https://openalex.org/W2119691711","https://openalex.org/W2124861237","https://openalex.org/W2126004407","https://openalex.org/W2126266252","https://openalex.org/W2128539477","https://openalex.org/W2141380216","https://openalex.org/W2141944997","https://openalex.org/W2153185479","https://openalex.org/W2154968583","https://openalex.org/W2165439482","https://openalex.org/W2292182532","https://openalex.org/W2614185560","https://openalex.org/W2617247391","https://openalex.org/W2786320458","https://openalex.org/W2787513823","https://openalex.org/W2789135440","https://openalex.org/W2898106867","https://openalex.org/W2902699695","https://openalex.org/W2914631005","https://openalex.org/W2949251082","https://openalex.org/W2952598959","https://openalex.org/W2953944188","https://openalex.org/W2954219808","https://openalex.org/W3022352883","https://openalex.org/W3130024571","https://openalex.org/W3202552726","https://openalex.org/W3213457265","https://openalex.org/W4220912491","https://openalex.org/W4243261006","https://openalex.org/W4244894488","https://openalex.org/W4245643018"],"related_works":["https://openalex.org/W2371266106","https://openalex.org/W2979513934","https://openalex.org/W2351155539","https://openalex.org/W2117382851","https://openalex.org/W3006505070","https://openalex.org/W2382449560","https://openalex.org/W2767298477","https://openalex.org/W2013156670","https://openalex.org/W2110432562","https://openalex.org/W2117864619"],"abstract_inverted_index":{"Modern":[0],"optimizing":[1,119],"compilers":[2],"can":[3,101],"exploit":[4,65],"memory":[5],"access":[6],"and":[7,73,88,96],"computation":[8],"patterns":[9,16,43,67,91],"to":[10,28,50,63,81,84,136],"generate":[11,102],"vectorized":[12,105],"codes.":[13],"However,":[14],"such":[15,20],"in":[17],"irregular":[18],"programs":[19,72],"as":[21],"SpMV":[22,71,120,139],"are":[23],"unknown":[24],"until":[25],"runtime":[26],"due":[27],"the":[29,42,55,82,137],"input":[30],"dependence.":[31],"Thus,":[32],"either":[33],"compiler\u2019s":[34],"static":[35],"optimization":[36,39],"or":[37],"profile-guided":[38],"cannot":[40],"represent":[41,85],"for":[44,77],"any":[45],"common":[46],"input,":[47],"which":[48],"leads":[49],"suboptimal":[51],"vectorization.":[52,79],"To":[53],"address":[54],"above":[56],"drawback,":[57],"we":[58],"propose":[59],"DynVec,":[60],"a":[61,142],"framework":[62],"automatically":[64],"regular":[66,90],"buried":[68],"deeply":[69],"inside":[70],"apply":[74],"corresponding":[75],"optimizations":[76],"better":[78],"Due":[80],"ability":[83],"instruction":[86],"features":[87],"identify":[89],"with":[92,111,121],"effective":[93],"feature":[94],"extraction":[95],"data":[97],"re-arranging":[98],"methods,":[99],"DynVec":[100,117,131],"highly":[103],"efficient":[104],"codes":[106],"by":[107],"replacing":[108],"gather/scatter/reduction":[109],"operations":[110],"optimized":[112],"operation":[113],"groups.":[114],"We":[115],"evaluate":[116],"on":[118],"representative":[122],"sparse":[123],"matrix":[124],"datasets.":[125],"The":[126],"experiment":[127],"results":[128],"show":[129],"that":[130],"achieves":[132],"significant":[133],"speedup":[134],"compared":[135],"state-of-the-art":[138],"implementations":[140],"across":[141],"range":[143],"of":[144],"platforms.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-11-08T00:00:00"}