{"id":"https://openalex.org/W4250061251","doi":"https://doi.org/10.1109/cgo.2019.8661167","title":"Automatic Parallelization of Irregular x86-64 Loops","display_name":"Automatic Parallelization of Irregular x86-64 Loops","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W4250061251","doi":"https://doi.org/10.1109/cgo.2019.8661167"},"language":"en","primary_location":{"id":"doi:10.1109/cgo.2019.8661167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgo.2019.8661167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)","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/A5019625135","display_name":"Brandon Neth","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brandon Neth","raw_affiliation_strings":["Department of Computer Science, University of Arizona, Tucson, Arizona, 85719, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Arizona, Tucson, Arizona, 85719, United States of America","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022191670","display_name":"Michelle Mills Strout","orcid":"https://orcid.org/0000-0001-7646-4766"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Mills Strout","raw_affiliation_strings":["Department of Computer Science, University of Arizona, Tucson, Arizona, 85719, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Arizona, Tucson, Arizona, 85719, United States of America","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019625135"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31554918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9926000237464905,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9869999885559082,"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":0.8895552754402161},{"id":"https://openalex.org/keywords/x86","display_name":"x86","score":0.8640844821929932},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7312617897987366},{"id":"https://openalex.org/keywords/automatic-parallelization","display_name":"Automatic parallelization","score":0.5898534059524536},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.534565269947052},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5083281397819519},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.4732794463634491},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.47096115350723267},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.4486267864704132},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.410831093788147},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.15489959716796875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8895552754402161},{"id":"https://openalex.org/C170723468","wikidata":"https://www.wikidata.org/wiki/Q182933","display_name":"x86","level":3,"score":0.8640844821929932},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7312617897987366},{"id":"https://openalex.org/C164833996","wikidata":"https://www.wikidata.org/wiki/Q2323839","display_name":"Automatic parallelization","level":3,"score":0.5898534059524536},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.534565269947052},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5083281397819519},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.4732794463634491},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.47096115350723267},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.4486267864704132},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.410831093788147},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.15489959716796875},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cgo.2019.8661167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgo.2019.8661167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2166312568","https://openalex.org/W2084977540","https://openalex.org/W2120726537","https://openalex.org/W3091552597","https://openalex.org/W3028954238","https://openalex.org/W2143549041","https://openalex.org/W2322902219","https://openalex.org/W2123607806","https://openalex.org/W4385785001","https://openalex.org/W4250061251"],"abstract_inverted_index":{"Productivity":[0],"languages":[1,21],"such":[2],"as":[3],"Python":[4],"and":[5],"R":[6],"are":[7,82],"growing":[8],"in":[9,12,56],"popularity":[10],"especially":[11],"the":[13,27,48,57,84,94],"development":[14,28],"of":[15,86],"data":[16],"analysis":[17],"algorithms.":[18],"While":[19],"these":[20],"provide":[22],"powerful":[23],"tools":[24],"to":[25,35,41,46,63,69,112],"accelerate":[26],"process,":[29],"they":[30],"incur":[31],"heavy":[32],"overhead":[33,44],"due":[34],"their":[36],"interpreted":[37],"nature.":[38],"One":[39],"approach":[40],"remove":[42],"this":[43],"is":[45],"specialize":[47],"interpreter":[49],"for":[50],"a":[51,105],"given":[52],"script.":[53],"Then,":[54],"loops":[55,75,88,103],"specialized":[58],"code":[59],"can":[60],"be":[61],"parallelized":[62],"further":[64],"improve":[65],"performance.":[66],"In":[67],"contrast":[68],"previous":[70],"work":[71],"that":[72,109],"targets":[73],"LLVM":[74],"with":[76,89],"affine":[77],"memory":[78],"access":[79,91],"patterns,":[80],"we":[81,100],"investigating":[83],"problem":[85],"parallelizing":[87],"irregular":[90],"patterns":[92],"at":[93],"x86":[95],"level.":[96],"To":[97],"do":[98],"so,":[99],"split":[101],"hot":[102],"into":[104],"sequential":[106],"master":[107],"thread":[108],"sends":[110],"tasks":[111],"parallel":[113],"worker":[114],"threads.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}