{"id":"https://openalex.org/W2913229995","doi":"https://doi.org/10.1109/bigdata.2018.8622172","title":"Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme","display_name":"Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913229995","doi":"https://doi.org/10.1109/bigdata.2018.8622172","mag":"2913229995"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5068036546","display_name":"Edward Raff","orcid":"https://orcid.org/0000-0002-9900-1972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edward Raff","raw_affiliation_strings":["Laboratory for Physical Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Physical Sciences","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059651448","display_name":"Jared Sylvester","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jared Sylvester","raw_affiliation_strings":["Laboratory for Physical Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Physical Sciences","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3379,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70852708,"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":"65","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9933000206947327,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9933000206947327,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9797000288963318,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9668999910354614,"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":0.7605379223823547},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6971391439437866},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6176527142524719},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5659826993942261},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5319643020629883},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49055999517440796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4301714301109314},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4105243384838104},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.367360919713974},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3667004704475403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1532842516899109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605379223823547},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6971391439437866},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6176527142524719},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5659826993942261},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5319643020629883},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49055999517440796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4301714301109314},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4105243384838104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.367360919713974},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3667004704475403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1532842516899109},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4399999976158142,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1693343509","https://openalex.org/W1842246424","https://openalex.org/W1939652453","https://openalex.org/W2004915807","https://openalex.org/W2039321646","https://openalex.org/W2042587503","https://openalex.org/W2083838623","https://openalex.org/W2118585731","https://openalex.org/W2138243089","https://openalex.org/W2153635508","https://openalex.org/W2295593662","https://openalex.org/W2513289469","https://openalex.org/W2584355182","https://openalex.org/W2584746436","https://openalex.org/W2608296545","https://openalex.org/W2619493178","https://openalex.org/W2950533047","https://openalex.org/W2952594493","https://openalex.org/W4229668875","https://openalex.org/W4252684946","https://openalex.org/W6638609595","https://openalex.org/W6677656871","https://openalex.org/W6680402377","https://openalex.org/W6725826102"],"related_works":["https://openalex.org/W2128523353","https://openalex.org/W1975289146","https://openalex.org/W2291648581","https://openalex.org/W3158538495","https://openalex.org/W2087240539","https://openalex.org/W2105887828","https://openalex.org/W2107644726","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W2406856881"],"abstract_inverted_index":{"Linear":[0],"models":[1,52],"are":[2,39],"fast":[3],"to":[4,25,60,75],"train,":[5],"apply,":[6],"and":[7,15,68],"still":[8],"state":[9],"of":[10,65],"the":[11,28,63],"art":[12],"for":[13,49],"sparse":[14],"high":[16],"dimensional":[17],"problems.":[18],"Their":[19],"computational":[20],"efficiency":[21],"makes":[22],"them":[23],"difficult":[24],"parallelize,":[26],"with":[27],"standard":[29],"multi-core":[30],"approaches":[31],"often":[32],"diverging":[33],"after":[34],"more":[35],"than":[36],"8":[37],"cores":[38],"added.":[40],"We":[41],"propose":[42],"a":[43],"Stochastic":[44],"Atomic":[45],"Update":[46],"Scheme":[47],"(SAUS)":[48],"training":[50],"linear":[51],"on":[53],"many":[54],"core":[55],"machines.":[56],"It":[57],"is":[58],"simple":[59],"implement,":[61],"reduces":[62],"number":[64],"divergent":[66],"cases,":[67],"obtains":[69],"greater":[70],"speedups":[71],"by":[72],"being":[73],"able":[74],"effectively":[76],"use":[77],"an":[78],"80-core":[79],"server.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}