{"id":"https://openalex.org/W2144114751","doi":"https://doi.org/10.1109/ipdps.2004.1302956","title":"An algorithm for geometric load balancing with two constraints","display_name":"An algorithm for geometric load balancing with two constraints","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W2144114751","doi":"https://doi.org/10.1109/ipdps.2004.1302956","mag":"2144114751"},"language":"en","primary_location":{"id":"doi:10.1109/ipdps.2004.1302956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2004.1302956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.","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/A5100707536","display_name":"Jiyoun Kim","orcid":"https://orcid.org/0000-0002-9681-9285"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyoun Kim","raw_affiliation_strings":["Advanced Computer Architecture Laboratory, EECS Department, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Computer Architecture Laboratory, EECS Department, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113772974","display_name":"Marios C. Papaefthymiou","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Papaefthymiou","raw_affiliation_strings":["Advanced Computer Architecture Laboratory, EECS Department, University of Michigan, Ann Arbor, MI, USA","Dept., of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Computer Architecture Laboratory, EECS Department, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Dept., of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042110720","display_name":"Ammara Tayyab","orcid":"https://orcid.org/0009-0009-0330-9437"},"institutions":[{"id":"https://openalex.org/I4210156936","display_name":"IBM Research - Austin","ror":"https://ror.org/05gjbbg60","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210156936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Tayyab","raw_affiliation_strings":["IBM Microelectronics, Austin, TX, USA","[IBM Microelectronics, Austin, TX, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Microelectronics, Austin, TX, USA","institution_ids":["https://openalex.org/I4210156936"]},{"raw_affiliation_string":"[IBM Microelectronics, Austin, TX, USA]","institution_ids":["https://openalex.org/I4210156936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2656231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"40","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9988999962806702,"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/heuristic","display_name":"Heuristic","score":0.6514434218406677},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.6370565891265869},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.623234212398529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5221034288406372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5202987790107727},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.510615885257721},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5061220526695251},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.49448299407958984},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4100741446018219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3846825361251831},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.37814441323280334},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3098953366279602},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25954681634902954}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6514434218406677},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.6370565891265869},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.623234212398529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5221034288406372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5202987790107727},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.510615885257721},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5061220526695251},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.49448299407958984},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4100741446018219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3846825361251831},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.37814441323280334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3098953366279602},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25954681634902954},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdps.2004.1302956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2004.1302956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W149360705","https://openalex.org/W1569967833","https://openalex.org/W1871429317","https://openalex.org/W1981893977","https://openalex.org/W1996639891","https://openalex.org/W2043839703","https://openalex.org/W2080961998","https://openalex.org/W2081188973","https://openalex.org/W2106978190","https://openalex.org/W2111516947","https://openalex.org/W2127391575","https://openalex.org/W2155373197","https://openalex.org/W2158975664","https://openalex.org/W3137027499","https://openalex.org/W6606080097","https://openalex.org/W6634096400","https://openalex.org/W6678786054"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2101798774","https://openalex.org/W4229495955"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"We":[4,62],"describe":[5],"an":[6,74],"algorithm":[7,31],"for":[8,66,95],"partitioning":[9,169],"2-weighted":[10],"geometric":[11,56,131,160],"graphs,":[12],"so":[13],"that":[14,65,77],"each":[15],"of":[16,116,123],"the":[17,79,114,121,126],"two":[18,67,80],"weights":[19,81],"is":[20,28,32,113,120],"evenly":[21],"distributed":[22],"among":[23],"all":[24],"partitions":[25,143],"and":[26,55,92,105,118,153],"cutsize":[27],"minimal.":[29],"This":[30],"applicable":[33],"to":[34,59],"load":[35,50],"balancing":[36],"problems":[37],"in":[38,47,107,125],"parallel":[39],"computing,":[40],"including":[41],"scientific":[42],"computation":[43],"or":[44],"circuit":[45],"optimization,":[46],"which":[48],"computational":[49],"depends":[51],"on":[52,84,102],"multiple":[53],"factors,":[54],"proximity":[57],"needs":[58],"be":[60],"preserved.":[61],"first":[63],"show":[64],"continuous":[68],"weight":[69],"distributions,":[70],"there":[71],"always":[72],"exists":[73],"L-shape":[75],"separator":[76],"divides":[78],"exactly.":[82],"Based":[83],"this":[85],"fact,":[86],"we":[87],"then":[88],"give":[89],"a":[90,159,167],"practical":[91],"efficient":[93],"heuristic":[94,100,140,165],"2/sup":[96],"p/-way":[97],"partitioning.":[98],"Our":[99],"relies":[101],"recursive":[103],"bipartitioning":[104],"runs":[106],"O(nlgn+m2/sup":[108],"p/)":[109],"time,":[110],"where":[111],"n":[112],"number":[115,122],"vertices":[117],"m":[119],"rows":[124],"graph.":[127],"In":[128],"experiments":[129],"with":[130,144,162,170],"graphs":[132],"obtained":[133],"from":[134],"placed":[135],"benchmark":[136],"VLSI":[137],"circuits,":[138],"our":[139,164],"generates":[141],"balanced":[142],"imbalance":[145,173],"no":[146],"greater":[147],"than":[148],"2%,":[149],"very":[150],"short":[151],"runtimes,":[152],"good":[154],"cutsizes.":[155],"For":[156],"example,":[157],"given":[158],"graph":[161],"n>100,000,":[163],"computes":[166],"32-way":[168],"0.46%":[171],"maximum":[172],"within":[174],"0.5":[175],"second.":[176]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}