{"id":"https://openalex.org/W4406157299","doi":"https://doi.org/10.1109/scw63240.2024.00235","title":"Input-Dependent Power Usage in GPUs","display_name":"Input-Dependent Power Usage in GPUs","publication_year":2024,"publication_date":"2024-11-17","ids":{"openalex":"https://openalex.org/W4406157299","doi":"https://doi.org/10.1109/scw63240.2024.00235"},"language":"en","primary_location":{"id":"doi:10.1109/scw63240.2024.00235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scw63240.2024.00235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","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/A5077744227","display_name":"Theo Gregersen","orcid":"https://orcid.org/0009-0001-5828-8014"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theo Gregersen","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073615366","display_name":"Pratyush Patel","orcid":"https://orcid.org/0000-0003-3611-5160"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pratyush Patel","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045708568","display_name":"Esha Choukse","orcid":"https://orcid.org/0000-0003-0371-5522"},"institutions":[{"id":"https://openalex.org/I4210087053","display_name":"Microsoft (Germany)","ror":"https://ror.org/001dd4s60","country_code":"DE","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210087053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Esha Choukse","raw_affiliation_strings":["Microsoft Azure Research - Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Azure Research - Systems","institution_ids":["https://openalex.org/I4210087053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2149,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89927968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1872","last_page":"1877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9919000267982483,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9635000228881836,"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/T12238","display_name":"Green IT and Sustainability","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6778446435928345},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49084120988845825},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4448530375957489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778446435928345},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49084120988845825},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4448530375957489},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/scw63240.2024.00235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scw63240.2024.00235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2071959074","https://openalex.org/W2265166184","https://openalex.org/W2325538041","https://openalex.org/W2560681100","https://openalex.org/W2604319603","https://openalex.org/W2801748224","https://openalex.org/W2914631005","https://openalex.org/W3016542674","https://openalex.org/W3130660608","https://openalex.org/W3137147200","https://openalex.org/W3158112431","https://openalex.org/W3159103505","https://openalex.org/W3169240678","https://openalex.org/W4240237526","https://openalex.org/W4311457721","https://openalex.org/W4375929097","https://openalex.org/W4377235369","https://openalex.org/W4380987945","https://openalex.org/W4385488535","https://openalex.org/W4387302777","https://openalex.org/W4388581334","https://openalex.org/W4389491903","https://openalex.org/W4395106452","https://openalex.org/W4400446377","https://openalex.org/W4401211704","https://openalex.org/W4404400711","https://openalex.org/W6780373310","https://openalex.org/W6784223070","https://openalex.org/W6803154024","https://openalex.org/W6842315983","https://openalex.org/W6846164622","https://openalex.org/W6847517337","https://openalex.org/W6852927819"],"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":{"GPUs":[0],"are":[1,15],"known":[2],"to":[3,8,20,47,63,125,146],"be":[4],"power-hungry,":[5],"and":[6,70,94,143,149],"due":[7,124],"the":[9,17,21,60,67,75,108,128,134],"boom":[10],"in":[11,31,127,133],"artificial":[12],"intelligence,":[13],"they":[14],"currently":[16],"major":[18],"contributors":[19],"high":[22,49],"power":[23,76,110,120,148],"demands":[24],"of":[25,36,51,78,86,130],"upcoming":[26],"datacenters.":[27],"Most":[28],"GPU":[29,109],"usage":[30,111,121],"these":[32,79,104],"popular":[33],"workloads":[34],"consists":[35],"large":[37],"general":[38],"matrix-matrix":[39],"multiplications":[40],"(GEMMs),":[41],"which":[42],"have":[43],"therefore":[44],"been":[45],"optimized":[46],"achieve":[48],"utilization":[50],"hardware":[52],"resources.In":[53],"this":[54,139],"work,":[55],"we":[56],"show":[57],"that":[58,103,118],"modifying":[59],"input":[61,87],"data":[62,98],"GEMMs,":[64],"while":[65],"maintaining":[66],"matrix":[68],"shapes":[69],"sizes":[71],"can":[72,106],"notably":[73],"change":[74,107],"consumption":[77],"kernels.":[80],"We":[81,136],"experiment":[82],"with":[83],"four":[84],"kinds":[85],"variations:":[88],"value":[89],"distribution,":[90],"bit":[91,131],"similarity,":[92],"placement,":[93],"sparsity,":[95],"across":[96],"different":[97],"types.":[99],"Our":[100],"findings":[101],"indicate":[102],"variations":[105,122],"during":[112],"GEMM":[113],"by":[114],"almost":[115],"40%.We":[116],"hypothesize":[117],"input-dependent":[119],"occur":[123],"changes":[126],"number":[129],"flips":[132],"GPUs.":[135],"propose":[137],"leveraging":[138],"property":[140],"through":[141],"compiler":[142],"scheduler":[144],"optimizations":[145],"manage":[147],"reduce":[150],"energy":[151],"consumption.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}