{"id":"https://openalex.org/W4410583873","doi":"https://doi.org/10.23919/date64628.2025.10992746","title":"Slipstream: Semantic-Based Training Acceleration for Recommendation Models","display_name":"Slipstream: Semantic-Based Training Acceleration for Recommendation Models","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410583873","doi":"https://doi.org/10.23919/date64628.2025.10992746"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10992746","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","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/A5023984741","display_name":"Yassaman Ebrahimzadeh Maboud","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yassaman Ebrahimzadeh Maboud","raw_affiliation_strings":["Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732467","display_name":"Muhammad Adnan","orcid":"https://orcid.org/0000-0003-3366-4084"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Adnan","raw_affiliation_strings":["Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089590312","display_name":"Divya Mahajan","orcid":"https://orcid.org/0009-0007-8184-0528"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divya Mahajan","raw_affiliation_strings":["Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053993126","display_name":"Prashant J. Nair","orcid":"https://orcid.org/0000-0002-1732-4314"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Prashant J. Nair","raw_affiliation_strings":["Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, The University of British Columbia,Vancouver,Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023984741"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":2.8451,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90664112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9909999966621399,"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":0.9909999966621399,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9891999959945679,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9710000157356262,"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":0.7640866637229919},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7517702579498291},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5727283954620361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4696105420589447},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05916815996170044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640866637229919},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7517702579498291},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5727283954620361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4696105420589447},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05916815996170044},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10992746","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7670110081","display_name":null,"funder_award_id":"RGPIN-2019-05059","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320323180","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2604662567","https://openalex.org/W2606722458","https://openalex.org/W2765927961","https://openalex.org/W2931743911","https://openalex.org/W2972269283","https://openalex.org/W2996471668","https://openalex.org/W3043023836","https://openalex.org/W3093945404","https://openalex.org/W3131607724","https://openalex.org/W3158146252","https://openalex.org/W3197720002","https://openalex.org/W3200211247","https://openalex.org/W3201621211","https://openalex.org/W4214658871","https://openalex.org/W4387321090","https://openalex.org/W4401211718","https://openalex.org/W6763737044","https://openalex.org/W6767799710","https://openalex.org/W6782776360","https://openalex.org/W6796912519","https://openalex.org/W6797630644"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659"],"abstract_inverted_index":{"Recommendation":[0],"models":[1,16],"play":[2],"a":[3,79],"crucial":[4],"role":[5],"in":[6,66],"delivering":[7],"accurate":[8],"and":[9,23,36,60,89,123,140,146,155],"tailored":[10],"user":[11],"experiences.":[12],"However,":[13],"training":[14,42,59,130],"such":[15],"poses":[17],"significant":[18],"challenges":[19],"regarding":[20],"resource":[21],"utilization":[22],"performance.":[24,95],"Prior":[25],"research":[26],"has":[27],"proposed":[28],"an":[29],"approach":[30],"that":[31,82],"categorizes":[32],"embeddings":[33,56,72,85],"into":[34],"popular":[35,53],"non-popular":[37],"classes":[38],"to":[39,70,93,101,108,115,149],"reduce":[40],"the":[41,52,87],"time":[43,131],"for":[44],"recommendation":[45],"models.":[46],"We":[47],"observe":[48],"that,":[49],"even":[50],"among":[51],"embeddings,":[54],"certain":[55],"undergo":[57],"rapid":[58],"exhibit":[61],"minimal":[62],"subsequent":[63],"variation,":[64],"resulting":[65],"saturation.":[67],"Consequently,":[68],"updates":[69,92,107],"these":[71],"become":[73],"redundant.":[74],"This":[75,111],"paper":[76],"presents":[77],"Slipstream,":[78],"software":[80],"framework":[81],"identifies":[83],"stale":[84],"on":[86],"fly":[88],"skips":[90],"their":[91],"enhance":[94],"Our":[96],"experiments":[97],"demonstrate":[98],"Slipstream's":[99],"ability":[100],"maintain":[102],"accuracy":[103],"while":[104],"effectively":[105],"discarding":[106],"non-varying":[109],"embeddings.":[110],"capability":[112],"enables":[113],"Slipstream":[114],"achieve":[116],"substantial":[117],"speedup,":[118],"optimize":[119],"CPU-GPU":[120],"bandwidth":[121],"usage,":[122],"eliminate":[124],"unnecessary":[125],"memory":[126],"access.":[127],"SlipStream":[128],"showcases":[129],"reductions":[132],"of":[133],"2":[134],"x,":[135,137,139],"2.4":[136],"1.2":[138],"1.175":[141],"x":[142],"across":[143],"real-world":[144],"datasets":[145],"configurations,":[147],"compared":[148],"Baseline":[150],"XDL,":[151],"Intel-optimized":[152],"DRLM,":[153],"FAE,":[154],"Hotline,":[156],"respectively.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}