{"id":"https://openalex.org/W2890840567","doi":"https://doi.org/10.1109/arith.2018.8464794","title":"Enhanced Vector Math Support on the Intel\u00aeAVX-512 Architecture","display_name":"Enhanced Vector Math Support on the Intel\u00aeAVX-512 Architecture","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2890840567","doi":"https://doi.org/10.1109/arith.2018.8464794","mag":"2890840567"},"language":"en","primary_location":{"id":"doi:10.1109/arith.2018.8464794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arith.2018.8464794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 25th Symposium on Computer Arithmetic (ARITH)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066944423","display_name":"Cristina Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cristina S. Anderson","raw_affiliation_strings":["Intel Corporation, Hillsboro OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro OR","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434281","display_name":"Jingwei Zhang","orcid":"https://orcid.org/0009-0000-5500-9465"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingwei Zhang","raw_affiliation_strings":["Intel Corporation, Hillsboro OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro OR","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084237089","display_name":"Marius Cornea","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marius Cornea","raw_affiliation_strings":["Intel Corporation, Hillsboro OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro OR","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":1.9058,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86055484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9975000023841858,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7927829027175903},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.7093485593795776},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.698966383934021},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6929094791412354},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5780646800994873},{"id":"https://openalex.org/keywords/double-precision-floating-point-format","display_name":"Double-precision floating-point format","score":0.5085269212722778},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4504566490650177},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4335172176361084},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.38467487692832947},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3482203483581543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32480865716934204},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22223463654518127},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.175052672624588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927829027175903},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.7093485593795776},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.698966383934021},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6929094791412354},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5780646800994873},{"id":"https://openalex.org/C35912277","wikidata":"https://www.wikidata.org/wiki/Q1243369","display_name":"Double-precision floating-point format","level":3,"score":0.5085269212722778},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4504566490650177},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4335172176361084},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38467487692832947},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3482203483581543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32480865716934204},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22223463654518127},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.175052672624588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/arith.2018.8464794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arith.2018.8464794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 25th Symposium on Computer Arithmetic (ARITH)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1975054686","https://openalex.org/W2012407419"],"related_works":["https://openalex.org/W2041684335","https://openalex.org/W2535419677","https://openalex.org/W2134876043","https://openalex.org/W2476214559","https://openalex.org/W2544512391","https://openalex.org/W2950918715","https://openalex.org/W4232872402","https://openalex.org/W2118569990","https://openalex.org/W4234915478","https://openalex.org/W2159645853"],"abstract_inverted_index":{"The":[0,113],"Intel\u00aeAVX-512":[1],"architecture":[2],"adds":[3],"new":[4,24,31,104],"capabilities":[5],"such":[6],"as":[7,17,19,57,59],"masked":[8],"execution,":[9],"floating-point":[10,38,45,111],"exception":[11],"suppression":[12],"and":[13,47,67,90,106],"static":[14],"rounding":[15,55],"modes,":[16],"well":[18,58],"a":[20,117],"small":[21,94],"set":[22],"of":[23],"instructions":[25],"for":[26,34,53,77,122],"mathematical":[27,79,126],"library":[28],"support.":[29],"These":[30],"features":[32,105],"allow":[33],"better":[35],"compliance":[36],"with":[37],"or":[39,49],"language":[40],"standards":[41],"(e.g.":[42],"no":[43],"spurious":[44],"exceptions,":[46],"faster":[48],"more":[50],"accurate":[51],"code":[52,114],"directed":[54],"modes),":[56],"simpler,":[60],"smaller":[61],"footprint":[62],"implementations":[63],"that":[64],"eliminate":[65],"branches":[66],"special":[68],"case":[69],"paths.":[70],"Performance":[71],"is":[72],"also":[73],"improved,":[74],"in":[75,86],"particular":[76],"vector":[78,125],"functions":[80],"(which":[81],"benefit":[82],"from":[83],"easier":[84],"processing":[85],"the":[87,102],"main":[88],"path,":[89],"fast":[91],"access":[92],"to":[93,110],"lookup":[95],"tables).":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"describe":[101],"relevant":[103],"their":[107],"possible":[108],"applications":[109],"computation.":[112],"examples":[115],"include":[116],"few":[118],"compact":[119],"implementation":[120],"sequences":[121],"some":[123],"common":[124],"functions.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
