{"id":"https://openalex.org/W4249030218","doi":"https://doi.org/10.1145/1133981.1134007","title":"Profile-based global live-range splitting","display_name":"Profile-based global live-range splitting","publication_year":2006,"publication_date":"2006-06-11","ids":{"openalex":"https://openalex.org/W4249030218","doi":"https://doi.org/10.1145/1133981.1134007"},"language":"en","primary_location":{"id":"doi:10.1145/1133981.1134007","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1133981.1134007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGPLAN Conference on Programming Language Design and Implementation","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/A5005605405","display_name":"Takuya Nakaike","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Nakaike","raw_affiliation_strings":["IBM Tokyo Research Laboratory, Kanagawa-ken, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Tokyo Research Laboratory, Kanagawa-ken, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067559838","display_name":"Tatsushi Inagaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsushi Inagaki","raw_affiliation_strings":["IBM Tokyo Research Laboratory, Kanagawa-ken, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Tokyo Research Laboratory, Kanagawa-ken, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109033933","display_name":"Hideaki Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideaki Komatsu","raw_affiliation_strings":["IBM Tokyo Research Laboratory, Kanagawa-ken, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Tokyo Research Laboratory, Kanagawa-ken, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006642369","display_name":"Toshio Nakatani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshio Nakatani","raw_affiliation_strings":["IBM Tokyo Research Laboratory, Kanagawa-ken, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Tokyo Research Laboratory, Kanagawa-ken, Japan","institution_ids":["https://openalex.org/I4210145865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005605405"],"corresponding_institution_ids":["https://openalex.org/I4210145865"],"apc_list":null,"apc_paid":null,"fwci":1.115,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79843237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.994700014591217,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.6133691072463989},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5798379778862},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.50250244140625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38893190026283264},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1251486837863922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133691072463989},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5798379778862},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.50250244140625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38893190026283264},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1251486837863922},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1133981.1134007","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1133981.1134007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGPLAN Conference on Programming Language Design and Implementation","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":15,"referenced_works":["https://openalex.org/W1949003947","https://openalex.org/W1969000084","https://openalex.org/W1982205631","https://openalex.org/W2003672926","https://openalex.org/W2024166156","https://openalex.org/W2065139142","https://openalex.org/W2065773673","https://openalex.org/W2066202680","https://openalex.org/W2077324087","https://openalex.org/W2093760065","https://openalex.org/W2118866757","https://openalex.org/W2142550124","https://openalex.org/W2503607315","https://openalex.org/W4250047106","https://openalex.org/W6629932122"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Live-range":[0],"splitting":[1,77,100,135],"is":[2],"a":[3,11,24,74],"technique":[4],"to":[5,23,30,34,49,130],"split":[6],"the":[7,55,62,82,92,101,111,124,139],"live":[8,93,102],"range":[9],"of":[10,18,37,61,84,126],"given":[12],"variable":[13],"into":[14],"multiple":[15],"subranges,":[16],"each":[17],"which":[19,79],"can":[20,80],"be":[21],"assigned":[22],"different":[25],"register":[26,39],"or":[27],"spilled":[28],"out":[29],"memory":[31],"in":[32,54,87,110],"order":[33],"improve":[35],"results":[36,116],"coloring":[38,141],"allocation.":[40],"Previous":[41],"techniques,":[42],"such":[43],"as":[44],"aggressive":[45,133],"live-range":[46,76,134,145],"splitting,":[47],"tend":[48],"produce":[50],"extra":[51],"spill":[52,85],"code":[53,86],"frequently":[56],"executed":[57],"(called":[58],"hot)":[59],"regions":[60,69,89],"code,":[63],"since":[64],"they":[65],"don't":[66],"distinguish":[67],"hot":[68,88],"from":[70],"others.":[71],"We":[72],"propose":[73],"new":[75,121],"algorithm,":[78],"reduce":[81],"amount":[83],"by":[90,128],"coalescing":[91],"ranges":[94,103],"based":[95],"on":[96],"profile":[97],"information":[98],"after":[99],"at":[104],"every":[105],"join":[106],"and":[107,136],"fork":[108],"point":[109],"control-flow":[112],"graph.":[113],"Our":[114],"experimental":[115],"have":[117],"shown":[118],"that":[119],"our":[120],"algorithm":[122,142],"improved":[123],"performance":[125],"SPECjvm98":[127],"up":[129],"33%":[131],"over":[132,138],"7%":[137],"base":[140],"without":[143],"any":[144],"splitting.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
