{"id":"https://openalex.org/W4409248344","doi":"https://doi.org/10.1109/hpca61900.2025.00124","title":"OASIS: Object-Aware Page Management for Multi-GPU Systems","display_name":"OASIS: Object-Aware Page Management for Multi-GPU Systems","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4409248344","doi":"https://doi.org/10.1109/hpca61900.2025.00124"},"language":"en","primary_location":{"id":"doi:10.1109/hpca61900.2025.00124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","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/A5102748318","display_name":"Yueqi Wang","orcid":"https://orcid.org/0009-0009-4540-2146"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yueqi Wang","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102707987","display_name":"Bingyao Li","orcid":"https://orcid.org/0000-0002-6281-6799"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bingyao Li","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090417289","display_name":"Mohamed Tarek Ibn Ziad","orcid":"https://orcid.org/0000-0001-6971-6996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Tarek Ibn Ziad","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033119975","display_name":"Lieven Eeckhout","orcid":"https://orcid.org/0000-0001-8792-4473"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven Eeckhout","raw_affiliation_strings":["Ghent University"],"affiliations":[{"raw_affiliation_string":"Ghent University","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015716455","display_name":"Jun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078825915","display_name":"Aamer Jaleel","orcid":"https://orcid.org/0000-0002-5709-2992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aamer Jaleel","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087859795","display_name":"Xulong Tang","orcid":"https://orcid.org/0000-0002-3385-2053"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xulong Tang","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102748318"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":8.3572,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97221187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1678","last_page":"1692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9983000159263611,"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":0.9950000047683716,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8117426633834839},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5243411660194397},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4113154411315918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1711747944355011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117426633834839},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5243411660194397},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4113154411315918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1711747944355011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca61900.2025.00124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2080592089","https://openalex.org/W2082000934","https://openalex.org/W2102843684","https://openalex.org/W2112796928","https://openalex.org/W2149234156","https://openalex.org/W2150903265","https://openalex.org/W2172654076","https://openalex.org/W2528784626","https://openalex.org/W2551176409","https://openalex.org/W2587914027","https://openalex.org/W2612387305","https://openalex.org/W2867345499","https://openalex.org/W2903659818","https://openalex.org/W2942452684","https://openalex.org/W3017302221","https://openalex.org/W3022256574","https://openalex.org/W3042369493","https://openalex.org/W3088076788","https://openalex.org/W3101333446","https://openalex.org/W3145579537","https://openalex.org/W3173778203","https://openalex.org/W3186076368","https://openalex.org/W3205905794","https://openalex.org/W3206003350","https://openalex.org/W3209568355","https://openalex.org/W4206959453","https://openalex.org/W4232927161","https://openalex.org/W4240517907","https://openalex.org/W4281854295","https://openalex.org/W4318776735","https://openalex.org/W4379537862","https://openalex.org/W4380881032","https://openalex.org/W4390097783","https://openalex.org/W4393591566","https://openalex.org/W6637373629","https://openalex.org/W6742019887","https://openalex.org/W6765737600","https://openalex.org/W6859297029"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"ever-growing":[1],"need":[2,86],"for":[3,87,118],"high-performance":[4],"computing":[5],"has":[6],"driven":[7],"the":[8,29,43,50,56,65,70,75,80,85,108,113,129,166],"popularity":[9],"of":[10,79,144],"employing":[11],"multi-GPU":[12,15,94],"systems.":[13,95],"Modern":[14],"systems":[16],"employ":[17],"unified":[18],"virtual":[19],"memory":[20],"(UVM)":[21],"to":[22,49,63],"manage":[23],"page":[24,30,44,58,91,115],"placement":[25],"and":[26,53,73,89,110,139,151],"migration.":[27],"However,":[28],"management":[31,59,92,116],"in":[32,47,93],"UVM":[33],"is":[34],"application":[35,51],"object":[36,105],"agnostic.":[37],"In":[38],"this":[39,97],"paper,":[40],"we":[41,99],"characterize":[42],"access":[45,136],"behaviors":[46],"relation":[48],"objects,":[52],"reveal":[54],"that":[55,126],"beneficial":[57],"policy":[60],"varies":[61],"according":[62],"(i)":[64],"different":[66,76],"data":[67],"objects":[68,120],"within":[69],"same":[71,81],"application,":[72],"(ii)":[74],"execution":[77,109],"phases":[78],"object.":[82],"This":[83],"motivates":[84],"dynamic":[88],"proactive":[90],"To":[96],"end,":[98],"propose":[100],"OASIS,":[101],"which":[102],"dynamically":[103],"identifies":[104],"patterns":[106],"during":[107],"proactively":[111],"determines":[112],"appropriate":[114],"policies":[117],"these":[119],"at":[121],"runtime.":[122],"Experimental":[123],"results":[124],"show":[125],"OASIS":[127,157],"improves":[128],"performance":[130,163],"over":[131,165],"uniformly":[132],"adopting":[133],"on-touch":[134],"migration,":[135,138],"counter-based":[137],"duplication":[140],"by":[141],"an":[142],"average":[143],"$\\mathbf{6":[145],"4":[146],"\\%}$,":[147,150,154],"$\\mathbf{3":[148],"5":[149],"$\\mathbf{4":[152],"2":[153,161],"respectively.":[155],"Moreover,":[156],"achieves":[158],"a":[159],"$\\mathbf{1":[160],"\\%}$":[162],"improvement":[164],"state-of-the-art":[167],"technique":[168],"(i.e.,":[169],"GRIT)":[170],"while":[171],"having":[172],"significantly":[173],"lower":[174],"design":[175],"complexity.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
