{"id":"https://openalex.org/W3083805870","doi":"https://doi.org/10.1109/hpcs48598.2019.9188098","title":"Evaluating GPU Performance for Deep Learning Workloads in Virtualized Environment","display_name":"Evaluating GPU Performance for Deep Learning Workloads in Virtualized Environment","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3083805870","doi":"https://doi.org/10.1109/hpcs48598.2019.9188098","mag":"3083805870"},"language":"en","primary_location":{"id":"doi:10.1109/hpcs48598.2019.9188098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","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/A5068757015","display_name":"Ramesh Radhakrishnan","orcid":"https://orcid.org/0000-0002-4382-8356"},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ramesh Radhakrishnan","raw_affiliation_strings":["Office of the CTO Dell EMC, Round Rock"],"affiliations":[{"raw_affiliation_string":"Office of the CTO Dell EMC, Round Rock","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010733442","display_name":"Yogesh Varma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149435","display_name":"DELL (United States)","ror":"https://ror.org/05rejmm18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149435"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Varma","raw_affiliation_strings":["Server and Infrastructure Systems Dell EMC, Round Rock"],"affiliations":[{"raw_affiliation_string":"Server and Infrastructure Systems Dell EMC, Round Rock","institution_ids":["https://openalex.org/I4210149435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054827318","display_name":"Uday Kurkure","orcid":"https://orcid.org/0000-0002-9000-291X"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uday Kurkure","raw_affiliation_strings":["Performance Group VMWare, Palo Alto"],"affiliations":[{"raw_affiliation_string":"Performance Group VMWare, Palo Alto","institution_ids":["https://openalex.org/I74786994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068757015"],"corresponding_institution_ids":["https://openalex.org/I4210149435"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37769091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"6","issue":null,"first_page":"904","last_page":"908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9988999962806702,"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":0.9988999962806702,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.996999979019165,"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":0.8782950639724731},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.7159826159477234},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7141972184181213},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7038620114326477},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.597477376461029},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.5168083906173706},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.44191691279411316},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44187480211257935},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41947633028030396},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.41192567348480225},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4073902666568756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3726956248283386},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3242020010948181},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.27023959159851074},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.2382248342037201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8782950639724731},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.7159826159477234},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7141972184181213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7038620114326477},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.597477376461029},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.5168083906173706},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.44191691279411316},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44187480211257935},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41947633028030396},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.41192567348480225},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4073902666568756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3726956248283386},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3242020010948181},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.27023959159851074},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.2382248342037201},{"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/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/hpcs48598.2019.9188098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1972399950","https://openalex.org/W1981770094","https://openalex.org/W2028499920","https://openalex.org/W2345057472","https://openalex.org/W2401046687","https://openalex.org/W2899234626","https://openalex.org/W6646016423","https://openalex.org/W6712895981"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825"],"abstract_inverted_index":{"Deep":[0,14],"Learning":[1],"(DL)":[2],"is":[3,29,58],"the":[4,33,62,69,75],"fastest":[5],"growing":[6],"high":[7,89],"performance":[8,44,79],"data":[9],"center":[10],"class":[11],"workload":[12,73],"today.":[13],"learning":[15,52,71],"algorithms":[16],"render":[17],"themselves":[18],"well":[19],"to":[20,100],"taking":[21],"advantage":[22],"of":[23,32,48,64,77],"GPU":[24,43],"parallelism,":[25],"therefore":[26],"GPGPU":[27,78],"acceleration":[28],"a":[30,59],"mainstay":[31],"DL":[34],"computing":[35],"infrastructure.":[36],"In":[37],"this":[38],"paper":[39],"we":[40],"evaluate":[41],"virtualized":[42,81,95],"based":[45],"on":[46],"training":[47,72],"state-of-the":[49],"art":[50],"deep":[51,70],"models.":[53],"We":[54,83],"find":[55],"that":[56,85],"there":[57],"correlation":[60],"between":[61],"amount":[63],"I/O":[65],"traffic":[66],"generated":[67],"in":[68,80,94],"and":[74,96],"efficiency":[76,90],"environments.":[82],"show":[84],"one":[86],"can":[87],"achieve":[88],"when":[91],"using":[92],"GPGPUs":[93],"networkattached":[97],"multi-GPU":[98],"environments":[99],"perform":[101],"highly":[102],"computeintensive":[103],"workloads.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}