{"id":"https://openalex.org/W1993847789","doi":"https://doi.org/10.1109/pccc.2013.6742766","title":"A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications","display_name":"A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1993847789","doi":"https://doi.org/10.1109/pccc.2013.6742766","mag":"1993847789"},"language":"en","primary_location":{"id":"doi:10.1109/pccc.2013.6742766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2013.6742766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 32nd International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110093545","display_name":"Li Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Tan","raw_affiliation_strings":["University of California, Riverside","University of California, RIverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, RIverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061737717","display_name":"Zizhong Chen","orcid":"https://orcid.org/0000-0003-2578-4940"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zizhong Chen","raw_affiliation_strings":["University of California, Riverside","University of California, RIverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, RIverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008451482","display_name":"Ziliang Zong","orcid":"https://orcid.org/0000-0003-2693-7419"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziliang Zong","raw_affiliation_strings":["Texas State University-San, Marcos","Texas State University-San Marcos, San Marcos, TX, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University-San, Marcos","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"Texas State University-San Marcos, San Marcos, TX, USA#TAB#","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407387","display_name":"Dong Li","orcid":"https://orcid.org/0000-0001-9336-0694"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]},{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Marquette University","Oak Ridge National Lab., Oak Ridge, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Oak Ridge National Lab., Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035001911","display_name":"Rong Ge","orcid":"https://orcid.org/0000-0002-2218-3675"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]},{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Ge","raw_affiliation_strings":["Oak Ridge National Laboratory","Marquette Univ., Marquette, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Marquette Univ., Marquette, MI, USA","institution_ids":["https://openalex.org/I102461120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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/T11181","display_name":"Advanced Data Storage Technologies","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115463852882385},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.7726672291755676},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.570874810218811},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5045839548110962},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4872535765171051},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48682349920272827},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4539388120174408},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36460745334625244},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3540702760219574},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.3484422564506531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115463852882385},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.7726672291755676},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.570874810218811},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5045839548110962},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4872535765171051},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48682349920272827},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4539388120174408},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36460745334625244},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3540702760219574},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3484422564506531},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/pccc.2013.6742766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2013.6742766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 32nd International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:epublications.marquette.edu:mscs_fac-1199","is_oa":false,"landing_page_url":"https://epublications.marquette.edu/mscs_fac/199","pdf_url":null,"source":{"id":"https://openalex.org/S4306401682","display_name":"e-Publications@Marquette (Marquette University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102461120","host_organization_name":"Marquette University","host_organization_lineage":["https://openalex.org/I102461120"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematics, Statistics and Computer Science Faculty Research and Publications","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.4976","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.4976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucr.edu/%7Eltan003/Publications/IPCCC%2713.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320313814","display_name":"Marquette University","ror":"https://ror.org/04gr4te78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1965198148","https://openalex.org/W1973923004","https://openalex.org/W2001937343","https://openalex.org/W2026929743","https://openalex.org/W2031136586","https://openalex.org/W2067699632","https://openalex.org/W2076958750","https://openalex.org/W2093796545","https://openalex.org/W2109558263","https://openalex.org/W2117449401","https://openalex.org/W2120047635","https://openalex.org/W2124853018","https://openalex.org/W2130388542","https://openalex.org/W2143624342","https://openalex.org/W2151587416","https://openalex.org/W2154596969","https://openalex.org/W2158830431","https://openalex.org/W2160804075","https://openalex.org/W2171935755","https://openalex.org/W2339688563","https://openalex.org/W4242367294","https://openalex.org/W6667278357","https://openalex.org/W6682488519","https://openalex.org/W6683774944","https://openalex.org/W6685327664"],"related_works":["https://openalex.org/W1967088250","https://openalex.org/W2054730497","https://openalex.org/W2161125731","https://openalex.org/W2805835013","https://openalex.org/W174337954","https://openalex.org/W1508186504","https://openalex.org/W179829755","https://openalex.org/W2035968155","https://openalex.org/W4399147211","https://openalex.org/W2609678089"],"abstract_inverted_index":{"Featured":[0],"by":[1],"high":[2,21],"portability":[3],"and":[4,8,45,98,136,151,158],"programmability,":[5],"Dynamic":[6],"Voltage":[7],"Frequency":[9],"Scaling":[10],"(DVFS)":[11],"has":[12],"been":[13],"widely":[14],"employed":[15],"to":[16,80,115,128,142,190],"achieve":[17,129],"energy":[18,53,130,139,169,180],"efficiency":[19,131],"for":[20,73,94,106,132,146],"performance":[22,59,67,187],"applications":[23,76,102],"on":[24,194],"distributed-memory":[25],"architectures":[26],"nowadays":[27],"through":[28],"various":[29],"scheduling":[30,126],"algorithms.":[31],"Generally,":[32],"different":[33],"forms":[34],"of":[35,71,118,178],"slack":[36],"from":[37],"load":[38],"imbalance,":[39],"network":[40],"latency,":[41],"communication":[42,74],"delay,":[43],"memory":[44,97,157],"disk":[46,99,159],"access":[47,160],"stalls,":[48],"etc.":[49],"are":[50],"exploited":[51],"as":[52],"saving":[54,170],"opportunities":[55],"where":[56],"peak":[57],"CPU":[58],"is":[60,77,104,112],"not":[61],"necessary,":[62],"with":[63,163,184],"little":[64],"or":[65],"limited":[66],"loss.":[68],"The":[69,172],"deployment":[70],"DVFS":[72,108,125,144],"intensive":[75,101,134,161],"straightforward":[78],"due":[79,114],"the":[81,191],"explicit":[82],"boundary":[83,111],"between":[84],"Energy":[85],"Saving":[86],"Blocks":[87],"(ESBs)":[88],"at":[89],"source":[90],"code":[91],"level,":[92],"while":[93],"data":[95,133],"(e.g.,":[96],"access)":[100],"it":[103],"difficult":[105],"applying":[107],"since":[109],"ESB":[110],"implicit":[113],"mixed":[116],"types":[117],"workloads.":[119],"We":[120,149],"propose":[121],"an":[122,176],"adaptively":[123],"aggressive":[124],"strategy":[127],"applications,":[135],"further":[137],"save":[138],"via":[140],"speculation":[141],"mitigate":[143],"overhead":[145],"imbalanced":[147,164],"branches.":[148],"implemented":[150],"evaluated":[152],"our":[153],"approach":[154],"using":[155],"five":[156],"benchmarks":[162],"branches":[165],"against":[166],"another":[167],"two":[168],"approaches.":[171],"experimental":[173],"results":[174],"indicate":[175],"average":[177,186],"32.6%":[179],"savings":[181],"were":[182],"achieved":[183],"6.2%":[185],"loss":[188],"compared":[189],"original":[192],"executions":[193],"a":[195],"power-aware":[196],"64-core":[197],"cluster.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
