{"id":"https://openalex.org/W2998373160","doi":"https://doi.org/10.14778/3368289.3368290","title":"Interleaved multi-vectorizing","display_name":"Interleaved multi-vectorizing","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2998373160","doi":"https://doi.org/10.14778/3368289.3368290","mag":"2998373160"},"language":"en","primary_location":{"id":"doi:10.14778/3368289.3368290","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3368289.3368290","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"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":"Proceedings of the VLDB Endowment","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/A5030424736","display_name":"Zhuhe Fang","orcid":"https://orcid.org/0000-0001-6554-0014"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuhe Fang","raw_affiliation_strings":["East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101743319","display_name":"Beilei Zheng","orcid":"https://orcid.org/0000-0002-7196-9711"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beilei Zheng","raw_affiliation_strings":["East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025387109","display_name":"Chuliang Weng","orcid":"https://orcid.org/0000-0003-0293-5857"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuliang Weng","raw_affiliation_strings":["East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030424736"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":2.4077,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89172972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"226","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8785335421562195},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.8539761304855347},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.8188252449035645},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5995478630065918},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5116479992866516},{"id":"https://openalex.org/keywords/instruction-level-parallelism","display_name":"Instruction-level parallelism","score":0.46123385429382324},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.4467565715312958},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41274580359458923},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.4116482734680176},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.25765490531921387},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1298483908176422},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09646496176719666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8785335421562195},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.8539761304855347},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.8188252449035645},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5995478630065918},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5116479992866516},{"id":"https://openalex.org/C140763907","wikidata":"https://www.wikidata.org/wiki/Q2714055","display_name":"Instruction-level parallelism","level":3,"score":0.46123385429382324},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.4467565715312958},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41274580359458923},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.4116482734680176},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.25765490531921387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1298483908176422},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09646496176719666}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3368289.3368290","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3368289.3368290","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1194153933","https://openalex.org/W1983096721","https://openalex.org/W2062666276","https://openalex.org/W2072541977","https://openalex.org/W2086977914","https://openalex.org/W2099035968","https://openalex.org/W2099580433","https://openalex.org/W2104003087","https://openalex.org/W2106771621","https://openalex.org/W2123278124","https://openalex.org/W2124851765","https://openalex.org/W2147076738","https://openalex.org/W2151224499","https://openalex.org/W2157174514","https://openalex.org/W2162726111","https://openalex.org/W2166955231","https://openalex.org/W2167675119","https://openalex.org/W2206306395","https://openalex.org/W2249320699","https://openalex.org/W2278783412","https://openalex.org/W2763683179","https://openalex.org/W2765206444","https://openalex.org/W2767926324","https://openalex.org/W2799666047","https://openalex.org/W2806132641","https://openalex.org/W2838294110","https://openalex.org/W2889144945","https://openalex.org/W2897173745","https://openalex.org/W2897764559","https://openalex.org/W2929353582","https://openalex.org/W2942497346","https://openalex.org/W2954484440","https://openalex.org/W2961966181","https://openalex.org/W4240365740","https://openalex.org/W4244768633","https://openalex.org/W4292169167","https://openalex.org/W6678708722","https://openalex.org/W6684693343"],"related_works":["https://openalex.org/W2566637483","https://openalex.org/W2127324789","https://openalex.org/W3024308452","https://openalex.org/W4244894488","https://openalex.org/W4285390450","https://openalex.org/W2366442643","https://openalex.org/W2021715972","https://openalex.org/W2761732860","https://openalex.org/W2090268225","https://openalex.org/W75461624"],"abstract_inverted_index":{"SIMD":[0,36,86,144],"is":[1],"an":[2],"instruction":[3],"set":[4],"in":[5,35,43,74,85],"mainstream":[6],"processors,":[7],"which":[8],"provides":[9],"the":[10,16,70,82,88,107,137,142],"data":[11,83],"level":[12,90],"parallelism":[13,84,91],"to":[14,54,68,103,117,129],"accelerate":[15],"performance":[17,108,134],"of":[18,51,81,109],"applications.":[19],"However,":[20],"its":[21],"advantages":[22],"diminish":[23],"when":[24],"applications":[25],"suffer":[26],"from":[27],"heavy":[28],"cache":[29,33,96],"misses.":[30],"To":[31],"eliminate":[32],"misses":[34,99],"vectorization,":[37,145],"we":[38],"present":[39],"interleaved":[40],"multi-vectorizing":[41],"(IMV)":[42],"this":[44],"paper.":[45],"It":[46,94],"interleaves":[47],"multiple":[48],"execution":[49],"instances":[50],"vectorized":[52,66],"code":[53],"hide":[55],"memory":[56,89],"access":[57],"latency":[58],"with":[59,136],"more":[60],"computation.":[61],"We":[62],"also":[63],"propose":[64],"residual":[65],"states":[67],"solve":[69],"control":[71],"flow":[72],"divergence":[73],"vectorization.":[75],"IMV":[76,126],"can":[77,114],"make":[78],"full":[79],"use":[80],"and":[87,100,112,131,141],"through":[92],"prefetching.":[93],"reduces":[95],"misses,":[97],"branch":[98],"computation":[101],"overhead":[102],"significantly":[104],"speed":[105],"up":[106,128],"pointer-chasing":[110],"applications,":[111],"it":[113],"be":[115],"applied":[116],"executing":[118],"entire":[119],"query":[120],"pipelines.":[121],"As":[122],"experimental":[123],"results":[124],"show,":[125],"achieves":[127],"4.23X":[130],"3.17X":[132],"better":[133],"compared":[135],"pure":[138,143],"scalar":[139],"implementation":[140],"respectively.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}