{"id":"https://openalex.org/W2134238239","doi":"https://doi.org/10.1145/1134650.1134663","title":"In search of near-optimal optimization phase orderings","display_name":"In search of near-optimal optimization phase orderings","publication_year":2006,"publication_date":"2006-06-14","ids":{"openalex":"https://openalex.org/W2134238239","doi":"https://doi.org/10.1145/1134650.1134663","mag":"2134238239"},"language":"en","primary_location":{"id":"doi:10.1145/1134650.1134663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134650.1134663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM SIGPLAN/SIGBED conference on Language, compilers, and tool support for embedded systems","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/A5111980656","display_name":"Prasad A. Kulkarni","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prasad A. Kulkarni","raw_affiliation_strings":["Florida State University, Tallahassee, FL"],"affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108249713","display_name":"David Whalley","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David B. Whalley","raw_affiliation_strings":["Florida State University, Tallahassee, FL"],"affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004937273","display_name":"Gary Tyson","orcid":"https://orcid.org/0009-0002-5081-2843"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary S. Tyson","raw_affiliation_strings":["Florida State University, Tallahassee, FL"],"affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068264173","display_name":"Jack W. Davidson","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack W. Davidson","raw_affiliation_strings":["University of Virginia, Charlottesville, VA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111980656"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":2.2705,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87999593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"92"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7107383012771606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7094179391860962},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.6656007766723633},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6303225755691528},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5815709233283997},{"id":"https://openalex.org/keywords/optimizing-compiler","display_name":"Optimizing compiler","score":0.5681561231613159},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5343282222747803},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5297197699546814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5205853581428528},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.4450732469558716},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42963409423828125},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4233008921146393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23449206352233887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08506274223327637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107383012771606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7094179391860962},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.6656007766723633},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6303225755691528},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5815709233283997},{"id":"https://openalex.org/C190902152","wikidata":"https://www.wikidata.org/wiki/Q1325106","display_name":"Optimizing compiler","level":3,"score":0.5681561231613159},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5343282222747803},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5297197699546814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5205853581428528},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.4450732469558716},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42963409423828125},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4233008921146393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23449206352233887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08506274223327637},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1134650.1134663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134650.1134663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM SIGPLAN/SIGBED conference on Language, compilers, and tool support for embedded systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.69.2746","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.2746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.fsu.edu/~whalley/papers/lctes06b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1584183132","https://openalex.org/W1686420892","https://openalex.org/W1967022475","https://openalex.org/W1977290744","https://openalex.org/W1977467261","https://openalex.org/W2000820780","https://openalex.org/W2005985523","https://openalex.org/W2028036887","https://openalex.org/W2032094184","https://openalex.org/W2046974160","https://openalex.org/W2052934867","https://openalex.org/W2058866239","https://openalex.org/W2062868730","https://openalex.org/W2072198393","https://openalex.org/W2088056808","https://openalex.org/W2101924328","https://openalex.org/W2106296728","https://openalex.org/W2119691711","https://openalex.org/W2137311321","https://openalex.org/W2147505032","https://openalex.org/W2151694889","https://openalex.org/W2164617852","https://openalex.org/W2170216784","https://openalex.org/W2609112314","https://openalex.org/W4233894383","https://openalex.org/W4238321249","https://openalex.org/W4256325836"],"related_works":["https://openalex.org/W2002505081","https://openalex.org/W2083681681","https://openalex.org/W2577630842","https://openalex.org/W1172579163","https://openalex.org/W1488300410","https://openalex.org/W2138790427","https://openalex.org/W4246454774","https://openalex.org/W2162051035","https://openalex.org/W1597127505","https://openalex.org/W3146558274"],"abstract_inverted_index":{"Phase":[0],"ordering":[1,39,63,276],"is":[2,41,105,299],"a":[3,19,94,182,186,260,278,281,289],"long":[4],"standing":[5],"challenge":[6],"for":[7,88,128,146,181,277,300],"traditional":[8],"optimizing":[9],"compilers.":[10],"Varying":[11],"the":[12,37,48,61,110,131,139,168,175,178,208,218,222,232,264,273,311],"order":[13],"of":[14,83,112,130,151,161,190,204,221,255,263,284],"applying":[15],"optimization":[16,45,91],"phases":[17],"to":[18,35,59,65,78,85,101,107,216,245,258,292],"program":[20],"can":[21,74,118,270,313],"produce":[22,47],"different":[23,44,79,122],"code,":[24],"with":[25],"potentially":[26],"significant":[27],"performance":[28,152,220],"variation":[29],"amongst":[30],"them.":[31],"A":[32],"key":[33],"insight":[34],"addressing":[36],"phase":[38,62,80,123,275,303],"problem":[40,64],"that":[42,73,103,117,157,177,214,226,231],"many":[43],"sequences":[46],"same":[49],"code.":[50],"In":[51],"an":[52],"earlier":[53],"study,":[54],"we":[55,98,173,269,287],"used":[56],"this":[57,144],"observation":[58,176],"restate":[60],"concentrate":[66],"on":[67],"finding":[68,301],"all":[69,89,113,162],"distinct":[70,191],"function":[71,115,141,164,171,183,199,205,267,279],"instances":[72,116,206,268],"be":[75,119,314],"produced":[76,120],"due":[77],"orderings,":[81],"instead":[82],"attempting":[84],"generate":[86],"code":[87],"possible":[90,106,114],"sequences.":[92],"Using":[93],"novel":[95],"search":[96],"algorithm":[97,298,312],"were":[99],"able":[100],"show":[102,230],"it":[104],"exhaustively":[108],"enumerate":[109],"set":[111,145],"by":[121,238,251],"orderings":[124,304],"in":[125,133,225],"our":[126,134,240,253,296,306],"compiler":[127],"most":[129],"functions":[132,224],"benchmark":[135],"suite":[136],"[1].":[137],"Finding":[138],"optimal":[140,170,274,302],"instance":[142,172,200],"within":[143,280,305],"almost":[147],"any":[148],"dynamic":[149,219,234,256],"measure":[150,254],"still":[153],"appears":[154],"impractical":[155],"since":[156],"would":[158],"involve":[159],"execution/simulation":[160],"generated":[163],"instances.":[165],"To":[166],"find":[167,272],"dynamically":[169],"exploit":[174],"enumeration":[179],"space":[180],"typically":[184],"contains":[185],"very":[187],"small":[188,261],"number":[189,262],"control":[192,210],"flow":[193],"paths.":[194],"We":[195,228],"simulate":[196],"only":[197],"one":[198],"from":[201],"each":[202],"group":[203],"having":[207],"identical":[209],"flow,":[211],"and":[212,308],"use":[213],"information":[215],"estimate":[217],"remaining":[223],"group.":[227],"further":[229],"estimated":[233],"frequency":[235],"counts":[236],"obtained":[237],"using":[239,252],"method":[241],"correlate":[242],"extremely":[243],"well":[244],"simulated":[246],"processor":[247],"cycle":[248],"counts.":[249],"Thus,":[250],"frequencies":[257],"identify":[259],"best":[265],"performing":[266],"often":[271],"reasonable":[282],"amount":[283],"time.":[285],"Finally,":[286],"perform":[288],"case":[290],"study":[291],"evaluate":[293],"how":[294,310],"adept":[295],"genetic":[297],"compiler,":[307],"demonstrate":[309],"improved.":[315]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
