{"id":"https://openalex.org/W3007631219","doi":"https://doi.org/10.1109/bigdata47090.2019.9005998","title":"Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads","display_name":"Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007631219","doi":"https://doi.org/10.1109/bigdata47090.2019.9005998","mag":"3007631219"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5086757331","display_name":"Matthew B. Dwyer","orcid":"https://orcid.org/0000-0002-1937-1544"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew Dwyer","raw_affiliation_strings":["U.S. Army Research Laboratory"],"affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025355740","display_name":"Nicole Kaff","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicole Kaff","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013165905","display_name":"Jacob Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Cohen","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059789033","display_name":"Michael Frauenhoffer","orcid":null},"institutions":[{"id":"https://openalex.org/I61822063","display_name":"ICF International (United States)","ror":"https://ror.org/0156f0c06","country_code":"US","type":"company","lineage":["https://openalex.org/I61822063"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Frauenhoffer","raw_affiliation_strings":["ICF International, Inc"],"affiliations":[{"raw_affiliation_string":"ICF International, Inc","institution_ids":["https://openalex.org/I61822063"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086757331"],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.3392,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72434968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"3960","last_page":"3967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9990000128746033,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8788912296295166},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.679484486579895},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6471512317657471},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.6343933343887329},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6133605241775513},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6017510294914246},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5679696202278137},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.5046876668930054},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5022742748260498},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4279616177082062},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39151477813720703},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3576282262802124},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.26237404346466064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8788912296295166},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.679484486579895},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6471512317657471},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.6343933343887329},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6133605241775513},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6017510294914246},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5679696202278137},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.5046876668930054},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5022742748260498},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4279616177082062},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39151477813720703},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3576282262802124},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.26237404346466064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1949554883","https://openalex.org/W1977614058","https://openalex.org/W2151316504","https://openalex.org/W2290151715","https://openalex.org/W2483795459","https://openalex.org/W2504051149","https://openalex.org/W2560558247","https://openalex.org/W2613580061","https://openalex.org/W2739564999","https://openalex.org/W2766228805","https://openalex.org/W2779653234","https://openalex.org/W2911520031","https://openalex.org/W2949840227","https://openalex.org/W2963946443","https://openalex.org/W6696597308"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2384867379","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033"],"abstract_inverted_index":{"Alongside":[0],"advancements":[1],"in":[2,14],"computer":[3],"related":[4],"technologies,":[5],"High":[6],"Performance":[7],"Computing":[8],"(HPC)":[9],"systems":[10],"continue":[11],"to":[12,45,109,150],"grow":[13],"both":[15],"complexity":[16,21,30],"and":[17,63,96,105,141,147],"scale.":[18,75],"As":[19],"the":[20,29,32,70],"of":[22,31,85,115,133],"hardware":[23],"components":[24],"increases":[25],"so":[26],"too":[27],"does":[28],"software":[33],"solutions":[34],"that":[35,81,93,126],"leverage":[36],"those":[37],"resources.":[38],"It":[39],"is":[40,51,72],"often":[41],"difficult":[42],"or":[43],"impossible":[44],"know":[46],"whether":[47],"a":[48,57,78,89],"distributed":[49],"application":[50,71],"performing":[52],"as":[53],"intended":[54],"without":[55],"applying":[56],"specific":[58],"profiling":[59],"application.":[60],"Furthermore,":[61],"errors":[62,86],"adverse":[64],"performance":[65],"can":[66,101],"go":[67],"unnoticed":[68],"until":[69],"executed":[73],"at":[74,112,130],"To":[76,117],"provide":[77],"general":[79],"mechanism":[80],"addresses":[82],"these":[83],"types":[84],"we":[87,120],"implement":[88],"data":[90,100],"analysis":[91,111,129,149],"pipeline":[92],"ingests,":[94],"stores,":[95],"indexes":[97],"data.":[98],"This":[99],"then":[102],"be":[103],"analyzed":[104],"displayed":[106],"for":[107],"users":[108],"perform":[110],"varying":[113,131],"levels":[114,132],"granularity.":[116,134],"this":[118],"end,":[119],"have":[121],"developed":[122],"multiple":[123],"hierarchical":[124],"views":[125],"enable":[127],"workload":[128],"The":[135],"overall":[136],"approach":[137],"applies":[138],"existing":[139],"tools":[140],"leverages":[142],"monitoring,":[143],"alerting,":[144],"ad-hoc":[145],"analysis,":[146],"exploratory":[148],"inform":[151],"parallel":[152],"HPC":[153],"workloads.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}