{"id":"https://openalex.org/W2074255386","doi":"https://doi.org/10.1145/1531743.1531760","title":"Non-clairvoyant speed scaling for batched parallel jobs on multiprocessors","display_name":"Non-clairvoyant speed scaling for batched parallel jobs on multiprocessors","publication_year":2009,"publication_date":"2009-05-18","ids":{"openalex":"https://openalex.org/W2074255386","doi":"https://doi.org/10.1145/1531743.1531760","mag":"2074255386"},"language":"en","primary_location":{"id":"doi:10.1145/1531743.1531760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1531743.1531760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM conference on Computing frontiers","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/A5076659753","display_name":"Hongyang Sun","orcid":"https://orcid.org/0000-0002-4379-4467"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Hongyang Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072419341","display_name":"Yangjie Cao","orcid":"https://orcid.org/0000-0002-1170-4340"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangjie Cao","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102360386","display_name":"Wen-Jing Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wen-Jing Hsu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076659753"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.0864,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79261925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9997000098228455,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9936000108718872,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269964218139648},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6829827427864075},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6007127165794373},{"id":"https://openalex.org/keywords/power-budget","display_name":"Power budget","score":0.5398146510124207},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5355994701385498},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49985218048095703},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.4719357192516327},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4690547287464142},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.46123218536376953},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.4261012077331543},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4225023090839386},{"id":"https://openalex.org/keywords/competitive-analysis","display_name":"Competitive analysis","score":0.4147305488586426},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.1404484212398529},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.13246843218803406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12700936198234558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08150023221969604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269964218139648},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6829827427864075},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6007127165794373},{"id":"https://openalex.org/C149768029","wikidata":"https://www.wikidata.org/wiki/Q1509342","display_name":"Power budget","level":4,"score":0.5398146510124207},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5355994701385498},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49985218048095703},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.4719357192516327},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4690547287464142},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.46123218536376953},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.4261012077331543},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4225023090839386},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.4147305488586426},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.1404484212398529},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.13246843218803406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12700936198234558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08150023221969604},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1531743.1531760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1531743.1531760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM conference on Computing frontiers","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.5974","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.5974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://perso.ens-lyon.fr/hongyang.sun/publications/cf09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1501066815","https://openalex.org/W1507699655","https://openalex.org/W1552828154","https://openalex.org/W1563048602","https://openalex.org/W1563776668","https://openalex.org/W1571646234","https://openalex.org/W1969605458","https://openalex.org/W1971930430","https://openalex.org/W1985474394","https://openalex.org/W2005012890","https://openalex.org/W2010152470","https://openalex.org/W2013870998","https://openalex.org/W2025326263","https://openalex.org/W2027544357","https://openalex.org/W2034919323","https://openalex.org/W2047173920","https://openalex.org/W2048730512","https://openalex.org/W2054322995","https://openalex.org/W2067522613","https://openalex.org/W2081379617","https://openalex.org/W2097541335","https://openalex.org/W2099961254","https://openalex.org/W2111963247","https://openalex.org/W2114993819","https://openalex.org/W2116175063","https://openalex.org/W2117299787","https://openalex.org/W2129747980","https://openalex.org/W2131218499","https://openalex.org/W2144287101","https://openalex.org/W2152575945","https://openalex.org/W2162654297","https://openalex.org/W2165635314","https://openalex.org/W2294460538","https://openalex.org/W4285719527","https://openalex.org/W4301005547"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2544617286","https://openalex.org/W2148915962","https://openalex.org/W212211351"],"abstract_inverted_index":{"Energy":[0],"consumption":[1,45],"and":[2,51,76,83,107,133],"heat":[3],"dissipation":[4],"have":[5],"become":[6],"key":[7],"considerations":[8],"for":[9,30,89,102,111],"modern":[10],"high":[11],"performance":[12,137,153],"computer":[13],"systems.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,71,96],"focus":[19],"on":[20,34,55],"non-clairvoyant":[21],"speed":[22,63,86],"scaling":[23,87],"to":[24],"minimize":[25],"flow":[26,103],"time":[27,104],"plus":[28,105],"energy":[29],"batched":[31],"parallel":[32],"jobs":[33],"multiprocessors.":[35],"We":[36],"consider":[37],"a":[38,48,81,84,139],"common":[39],"scenario":[40],"where":[41,119],"the":[42,52,66,90,112,122,152],"total":[43,123],"power":[44,53,146],"cannot":[46],"exceed":[47],"given":[49,116],"budget":[50],"consumed":[54],"each":[56],"processor":[57,68],"is":[58,100,109,121],"s\u03b1":[59],"when":[60,115],"running":[61],"at":[62],"s.":[64],"Extending":[65],"EQUI":[67,142],"allocation":[69],"policy,":[70],"propose":[72],"two":[73],"algorithms:":[74],"U-EQUI":[75,99,132],"N-EQUI,":[77],"which":[78],"use":[79],"respectively":[80],"uniform-speed":[82],"non-uniform":[85],"function":[88],"allocated":[91],"processors.":[92,126],"Using":[93],"competitive":[94],"analysis,":[95],"show":[97],"that":[98,131],"O(P\u03b1-1)/\u03b12)-competitive":[101],"energy,":[106],"N-EQUI":[108,134],"O(\u03b1\u221alnP)-competitive":[110],"same":[113],"metric":[114],"sufficient":[117],"power,":[118],"P":[120],"number":[124],"of":[125,154],"Our":[127],"simulation":[128],"results":[129],"confirm":[130],"achieve":[135],"better":[136],"than":[138],"straightforward":[140],"fixed-speed":[141],"strategy.":[143],"Moreover,":[144],"moderate":[145],"constraint":[147],"does":[148],"not":[149],"significantly":[150],"affect":[151],"our":[155],"algorithms.":[156]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
