{"id":"https://openalex.org/W7167047687","doi":"https://doi.org/10.1145/3797905.3800546","title":"CATS: Correlation-aware Task Scheduling for GPU Power Optimization in AI Data Centers","display_name":"CATS: Correlation-aware Task Scheduling for GPU Power Optimization in AI Data Centers","publication_year":2026,"publication_date":"2026-07-02","ids":{"openalex":"https://openalex.org/W7167047687","doi":"https://doi.org/10.1145/3797905.3800546"},"language":null,"primary_location":{"id":"doi:10.1145/3797905.3800546","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797905.3800546","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3797905.3800546","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020129565","display_name":"Srinivasan Subramaniyan","orcid":"https://orcid.org/0000-0002-5848-5667"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Subramaniyan","raw_affiliation_strings":["Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":"https://orcid.org/0000-0002-5848-5667","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100658019","display_name":"Xiaorui Wang","orcid":"https://orcid.org/0000-0001-9633-1418"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaorui Wang","raw_affiliation_strings":["Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":"https://orcid.org/0000-0001-9633-1418","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.47540000081062317,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.47540000081062317,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.3709000051021576,"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/T14347","display_name":"Big Data and Digital Economy","score":0.07490000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.6315000057220459},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5879999995231628},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5663999915122986},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49320000410079956},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48919999599456787},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.47350001335144043},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.42329999804496765},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.3921999931335449},{"id":"https://openalex.org/keywords/consolidation","display_name":"Consolidation (business)","score":0.3668000102043152},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389000296592712},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.6315000057220459},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5879999995231628},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5663999915122986},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4941999912261963},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.47350001335144043},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C2776014549","wikidata":"https://www.wikidata.org/wiki/Q3050847","display_name":"Consolidation (business)","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.3199999928474426},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C51332947","wikidata":"https://www.wikidata.org/wiki/Q1172305","display_name":"Shared resource","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C172430144","wikidata":"https://www.wikidata.org/wiki/Q17111997","display_name":"Symmetric multiprocessor system","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.2533000111579895},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3797905.3800546","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797905.3800546","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3797905.3800546","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797905.3800546","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49492135643959045,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G7075333376","display_name":null,"funder_award_id":"CNS-2336886","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1978252943","https://openalex.org/W1993508117","https://openalex.org/W2060393849","https://openalex.org/W2100948980","https://openalex.org/W2106951600","https://openalex.org/W2112806194","https://openalex.org/W2156756912","https://openalex.org/W2169729064","https://openalex.org/W2522820499","https://openalex.org/W2798707674","https://openalex.org/W2919897868","https://openalex.org/W2945148926","https://openalex.org/W3006451002","https://openalex.org/W3012121966","https://openalex.org/W3035078899","https://openalex.org/W3047610867","https://openalex.org/W3097411828","https://openalex.org/W3128391996","https://openalex.org/W3132977829","https://openalex.org/W3138516171","https://openalex.org/W3162118826","https://openalex.org/W3197816522","https://openalex.org/W3209503812","https://openalex.org/W3212545986","https://openalex.org/W4221109509","https://openalex.org/W4250075356","https://openalex.org/W4286307983","https://openalex.org/W4312754493","https://openalex.org/W4366564134","https://openalex.org/W4377235369","https://openalex.org/W4383860572","https://openalex.org/W4386076493","https://openalex.org/W4388031348","https://openalex.org/W4390263770","https://openalex.org/W4394944658","https://openalex.org/W4394969374","https://openalex.org/W4395106452","https://openalex.org/W4399074329","https://openalex.org/W4399596817","https://openalex.org/W4401752327","https://openalex.org/W4403479963","https://openalex.org/W4405756372","https://openalex.org/W4413380271","https://openalex.org/W4415319299","https://openalex.org/W4416956233","https://openalex.org/W7116427101","https://openalex.org/W7117515345"],"related_works":[],"abstract_inverted_index":{"GPUs":[0,19,63,67],"have":[1],"been":[2,42],"increasingly":[3],"deployed":[4],"in":[5,99],"the":[6,32,82,109],"data":[7,37],"centers":[8],"of":[9,35,62,85,104,112],"big":[10],"IT":[11],"companies":[12],"to":[13,30,44,49,101],"enhance":[14],"their":[15],"AI/ML":[16],"infrastructures.":[17],"Since":[18],"typically":[20],"consume":[21],"significantly":[22,116],"more":[23],"power":[24,33,52],"than":[25],"CPUs,":[26],"it":[27],"is":[28,98],"crucial":[29],"optimize":[31],"consumption":[34,53],"GPU":[36,51,76,83,110],"centers.":[38],"Task":[39],"consolidation":[40,79],"has":[41],"demonstrated":[43],"be":[45,90],"an":[46],"effective":[47],"way":[48],"reduce":[50],"by":[54],"consolidating":[55],"ML":[56,87,113],"tasks":[57],"onto":[58],"a":[59,93],"smaller":[60],"set":[61],"and":[64,68,78],"putting":[65],"unused":[66],"servers":[69],"into":[70],"sleep.":[71],"Unfortunately,":[72],"existing":[73],"work":[74],"on":[75],"sharing":[77],"assumes":[80],"that":[81],"utilization":[84,111],"each":[86],"task":[88],"can":[89],"approximated":[91],"as":[92],"constant":[94],"during":[95],"consolidation.":[96],"This":[97],"contrast":[100],"our":[102],"analysis":[103],"real-world":[105],"traces,":[106],"which":[107],"shows":[108],"workloads":[114],"fluctuates":[115],"over":[117],"time.":[118]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-03T00:00:00"}