{"id":"https://openalex.org/W2766865699","doi":"https://doi.org/10.1145/3149704.3149768","title":"Optimizing Word2Vec Performance on Multicore Systems","display_name":"Optimizing Word2Vec Performance on Multicore Systems","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2766865699","doi":"https://doi.org/10.1145/3149704.3149768","mag":"2766865699"},"language":"en","primary_location":{"id":"doi:10.1145/3149704.3149768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149704.3149768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms","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/A5011076200","display_name":"Vasudevan Rengasamy","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasudevan Rengasamy","raw_affiliation_strings":["The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030906270","display_name":"Tao-Yang Fu","orcid":"https://orcid.org/0000-0001-6121-6778"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao-Yang Fu","raw_affiliation_strings":["The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091716232","display_name":"Wang-Chien Lee","orcid":"https://orcid.org/0000-0002-8949-489X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang-Chien Lee","raw_affiliation_strings":["The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057403059","display_name":"Kamesh Madduri","orcid":"https://orcid.org/0000-0003-4344-0957"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamesh Madduri","raw_affiliation_strings":["The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, Department of Computer Science and Engineering, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9958999752998352,"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/word2vec","display_name":"Word2vec","score":0.7976644039154053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969860792160034},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6480075120925903},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3674580454826355},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1965155005455017}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7976644039154053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969860792160034},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6480075120925903},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3674580454826355},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1965155005455017},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3149704.3149768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3149704.3149768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3989940495","display_name":null,"funder_award_id":"ACI-1253881, CCF-1439057, IIS-1717084, SMA-1360205, ACI-1548562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W658020064","https://openalex.org/W1501531009","https://openalex.org/W1593045043","https://openalex.org/W1615991656","https://openalex.org/W1731081199","https://openalex.org/W1854884267","https://openalex.org/W2026487812","https://openalex.org/W2043701535","https://openalex.org/W2067438047","https://openalex.org/W2117130368","https://openalex.org/W2118090838","https://openalex.org/W2141599568","https://openalex.org/W2202715214","https://openalex.org/W2250539671","https://openalex.org/W2251012068","https://openalex.org/W2296283641","https://openalex.org/W2604963202","https://openalex.org/W2950577311","https://openalex.org/W2950726992","https://openalex.org/W2951714314","https://openalex.org/W2951781666","https://openalex.org/W2963288913","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6614148910","https://openalex.org/W6680532216"],"related_works":["https://openalex.org/W1542410906","https://openalex.org/W197049984","https://openalex.org/W1993191611","https://openalex.org/W2023938924","https://openalex.org/W2918840249","https://openalex.org/W1991859582","https://openalex.org/W2110053126","https://openalex.org/W2104702637","https://openalex.org/W2079303253","https://openalex.org/W4248099758"],"abstract_inverted_index":{"The":[0,25],"Skip-gram":[1],"with":[2],"negative":[3],"sampling":[4],"(SGNS)":[5],"method":[6],"of":[7,54],"Word2Vec":[8,56,102,111],"is":[9,95,122],"an":[10],"unsupervised":[11],"approach":[12,94],"to":[13,20,40,70,124],"map":[14],"words":[15,33],"in":[16],"a":[17,64,87,108],"text":[18],"corpus":[19],"low":[21],"dimensional":[22],"real":[23],"vectors.":[24],"learned":[26],"vectors":[27],"capture":[28],"semantic":[29],"relationships":[30],"between":[31],"co-occurring":[32],"and":[34,45,104],"can":[35],"be":[36],"used":[37],"as":[38],"inputs":[39],"many":[41],"natural":[42],"language":[43],"processing":[44,79],"machine":[46],"learning":[47],"tasks.":[48],"There":[49],"are":[50],"several":[51],"high-performance":[52],"implementations":[53],"the":[55,80,99],"SGNS":[57,73],"method.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,90],"introduce":[63],"new":[65],"optimization":[66],"called":[67],"context":[68],"combining":[69],"further":[71],"boost":[72],"performance":[74],"on":[75,86,119],"multicore":[76],"systems.":[77],"For":[78],"One":[81],"Billion":[82],"Word":[83],"benchmark":[84,120],"dataset":[85],"16-core":[88],"platform,":[89],"show":[91,115],"that":[92,116],"our":[93,117],"3.53x":[96],"faster":[97,106],"than":[98,107],"original":[100],"multithreaded":[101],"implementation":[103],"1.28x":[105],"recent":[109],"parallel":[110],"implementation.":[112],"We":[113],"also":[114],"accuracy":[118],"queries":[121],"comparable":[123],"state-of-the-art":[125],"implementations.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}