{"id":"https://openalex.org/W2135111007","doi":"https://doi.org/10.1109/isvlsi.2002.1016878","title":"Force-directed scheduling for dynamic power optimization","display_name":"Force-directed scheduling for dynamic power optimization","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2135111007","doi":"https://doi.org/10.1109/isvlsi.2002.1016878","mag":"2135111007"},"language":"en","primary_location":{"id":"doi:10.1109/isvlsi.2002.1016878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi.2002.1016878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE Computer Society Annual Symposium on VLSI. New Paradigms for VLSI Systems Design. ISVLSI 2002","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/A5026441591","display_name":"Sidharth Gupta","orcid":"https://orcid.org/0000-0003-0312-2938"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016167446","display_name":"Srinivas Katkoori","orcid":"https://orcid.org/0000-0002-7589-5836"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Katkoori","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":4.3077,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94967325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9997000098228455,"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":0.6388099789619446},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5566662549972534},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5511465072631836},{"id":"https://openalex.org/keywords/dynamic-demand","display_name":"Dynamic demand","score":0.5462474822998047},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.521840512752533},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.44007256627082825},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4105171859264374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39599472284317017},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36017054319381714},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3515275716781616},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.33712661266326904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21103736758232117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388099789619446},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5566662549972534},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5511465072631836},{"id":"https://openalex.org/C45872418","wikidata":"https://www.wikidata.org/wiki/Q5318966","display_name":"Dynamic demand","level":3,"score":0.5462474822998047},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.521840512752533},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.44007256627082825},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4105171859264374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39599472284317017},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36017054319381714},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3515275716781616},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33712661266326904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21103736758232117},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isvlsi.2002.1016878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi.2002.1016878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE Computer Society Annual Symposium on VLSI. New Paradigms for VLSI Systems Design. ISVLSI 2002","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2039731046","https://openalex.org/W2071693325","https://openalex.org/W2093842169","https://openalex.org/W2105441386","https://openalex.org/W2105742976","https://openalex.org/W2107085700","https://openalex.org/W2156992164","https://openalex.org/W2157762496","https://openalex.org/W2159962702","https://openalex.org/W4255068003","https://openalex.org/W6682819323"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W2171015181","https://openalex.org/W4239447582","https://openalex.org/W1484403103","https://openalex.org/W2521947294","https://openalex.org/W2150836909"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,8,34,73,81,88,116,135,149,173],"latency-constrained":[3],"scheduling":[4,24,151],"algorithm":[5,52,158],"to":[6,16,125,130,147,154],"optimize":[7],"design":[9],"for":[10,165],"dynamic":[11,54],"power":[12,18,55,127,161],"Usage":[13],"of":[14,65,78,99,137,163,172],"forces":[15,138],"model":[17],"is":[19,90,104,118],"motivated":[20],"by":[21,28,56],"the":[22,45,76,93,101,107,111,166,170],"force-directed":[23],"(FDS)":[25],"heuristic":[26],"proposed":[27],"Paulin":[29],"and":[30,38,75,97,143],"Knight":[31],"(1989).":[32],"Given":[33],"dataflow":[35],"graph":[36],"(DFG)":[37],"an":[39],"input":[40],"data":[41,49],"environment,":[42],"we":[43,133],"profile":[44],"DFG":[46,68],"with":[47,120],"representative":[48],"streams.":[50],"Our":[51],"reduces":[53],"reducing":[57],"switched":[58,63],"capacitance":[59,64,86],"inside":[60,87],"resources.":[61],"The":[62],"combinations":[66],"among":[67],"operations,":[69],"which":[70],"could":[71],"share":[72],"resource,":[74],"probability":[77,98],"selecting":[79,100],"such":[80],"combination,":[82],"are":[83,145],"evaluated.":[84],"Switched":[85],"module":[89],"modeled":[91,105],"as":[92,106],"spring":[94],"constant":[95],"k":[96],"corresponding":[102,124],"combination":[103,123],"displacement":[108],"x,":[109],"in":[110],"force":[112,117],"equation":[113],"F=kx.":[114],"Thus,":[115],"associated":[119],"each":[121],"feasible":[122],"its":[126],"cost.":[128],"Due":[129],"numerous":[131],"possibilities,":[132],"obtain":[134],"distribution":[136],"whose":[139],"mean,":[140],"standard":[141],"deviation,":[142],"skew":[144],"used":[146],"make":[148],"power-optimal":[150],"decision.":[152],"Compared":[153],"original":[155],"FDS,":[156],"our":[157],"shows":[159],"average":[160],"savings":[162],"16.4%":[164],"same":[167],"throughput":[168],"at":[169],"cost":[171],"nominal":[174],"area":[175],"overhead.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
