{"id":"https://openalex.org/W4308090426","doi":"https://doi.org/10.1109/hpec55821.2022.9926348","title":"Task-Parallel Programming with Constrained Parallelism","display_name":"Task-Parallel Programming with Constrained Parallelism","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4308090426","doi":"https://doi.org/10.1109/hpec55821.2022.9926348"},"language":"en","primary_location":{"id":"doi:10.1109/hpec55821.2022.9926348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5088685794","display_name":"Tsung\u2010Wei Huang","orcid":"https://orcid.org/0000-0001-9768-3378"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tsung-Wei Huang","raw_affiliation_strings":["University of Utah,Department of ECE","Department of ECE, University of Utah"],"affiliations":[{"raw_affiliation_string":"University of Utah,Department of ECE","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of ECE, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068099192","display_name":"Leslie K Hwang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leslie Hwang","raw_affiliation_strings":["Independent Researcher"],"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088685794"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":1.9338,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86585818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9980999827384949,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9965999722480774,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8980869054794312},{"id":"https://openalex.org/keywords/semaphore","display_name":"Semaphore","score":0.8337175846099854},{"id":"https://openalex.org/keywords/task-parallelism","display_name":"Task parallelism","score":0.7242695689201355},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6778650283813477},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.6409833431243896},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5697507262229919},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5184980630874634},{"id":"https://openalex.org/keywords/concurrency","display_name":"Concurrency","score":0.49902796745300293},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.45130714774131775},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4432019591331482},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4326494634151459},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.42786332964897156},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.34104907512664795},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23099511861801147},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15425440669059753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8980869054794312},{"id":"https://openalex.org/C95203288","wikidata":"https://www.wikidata.org/wiki/Q221682","display_name":"Semaphore","level":2,"score":0.8337175846099854},{"id":"https://openalex.org/C42992933","wikidata":"https://www.wikidata.org/wiki/Q691169","display_name":"Task parallelism","level":3,"score":0.7242695689201355},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6778650283813477},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.6409833431243896},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5697507262229919},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5184980630874634},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.49902796745300293},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.45130714774131775},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4432019591331482},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4326494634151459},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.42786332964897156},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.34104907512664795},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23099511861801147},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15425440669059753},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec55821.2022.9926348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G8322500626","display_name":null,"funder_award_id":"CCF-2126672,CCF-2144523 (CAREER),OAC-2209957","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W581518716","https://openalex.org/W1864199185","https://openalex.org/W1984848758","https://openalex.org/W1986864222","https://openalex.org/W2052917384","https://openalex.org/W2078794610","https://openalex.org/W2079577430","https://openalex.org/W2080409033","https://openalex.org/W2087440962","https://openalex.org/W2098147619","https://openalex.org/W2121893797","https://openalex.org/W2124404374","https://openalex.org/W2171226522","https://openalex.org/W2336894004","https://openalex.org/W2345178427","https://openalex.org/W2397503904","https://openalex.org/W2620006440","https://openalex.org/W2770975515","https://openalex.org/W2904487346","https://openalex.org/W2963366311","https://openalex.org/W2982022996","https://openalex.org/W2986763848","https://openalex.org/W2997798154","https://openalex.org/W2997948262","https://openalex.org/W3005126554","https://openalex.org/W3035450830","https://openalex.org/W3041526861","https://openalex.org/W3111098492","https://openalex.org/W3113443077","https://openalex.org/W3128148487","https://openalex.org/W3134181251","https://openalex.org/W3188917597","https://openalex.org/W3198396679","https://openalex.org/W3211357163","https://openalex.org/W4200128939","https://openalex.org/W4205834599","https://openalex.org/W4248722156","https://openalex.org/W4252769808","https://openalex.org/W4280571788","https://openalex.org/W4283390926","https://openalex.org/W4293025123","https://openalex.org/W4312874675","https://openalex.org/W4320067872","https://openalex.org/W6770339811","https://openalex.org/W6838593289"],"related_works":["https://openalex.org/W2003935582","https://openalex.org/W2950520577","https://openalex.org/W74409296","https://openalex.org/W1554644772","https://openalex.org/W2494130044","https://openalex.org/W2468095077","https://openalex.org/W2567390125","https://openalex.org/W2593878938","https://openalex.org/W305742777","https://openalex.org/W29548032"],"abstract_inverted_index":{"Task":[0],"graph":[1,68],"programming":[2,131],"model":[3,132,170],"(TGPM)":[4],"has":[5],"become":[6],"central":[7],"to":[8,44,63,109,148,179],"a":[9,37,45,54,79,83,101,111,129,134],"wide":[10],"range":[11],"of":[12,21,36,75,97,138,159],"scientific":[13],"computing":[14],"applications":[15,59],"because":[16],"it":[17],"enables":[18],"top-down":[19],"optimization":[20],"parallelism":[22,62,99],"that":[23,118],"governs":[24],"the":[25,41,50,67,73,155],"macro-scale":[26],"performance.":[27],"Existing":[28],"TGPMs":[29,90],"focus":[30],"on":[31],"expressing":[32],"tasks":[33],"and":[34,39,113,133,157],"dependencies":[35],"workload":[38,177],"leave":[40],"scheduling":[42,56,116,135],"details":[43],"library":[46],"runtime.":[47],"While":[48],"maximizing":[49],"task":[51,61,102],"concurrency":[52],"is":[53,119],"typical":[55],"goal,":[57],"many":[58],"require":[60],"be":[64,141],"constrained":[65,98,150],"during":[66],"execution.":[69],"Examples":[70],"are":[71],"limiting":[72],"number":[74],"worker":[76],"threads":[77],"in":[78,100,162],"subgraph":[80],"or":[81],"relating":[82],"conflict":[84],"between":[85],"two":[86],"tasks.":[87],"However,":[88],"mainstream":[89],"have":[91,105,153],"largely":[92],"ignored":[93],"this":[94,125],"important":[95],"feature":[96],"graph.":[103],"Users":[104],"no":[106],"choice":[107],"but":[108],"implement":[110],"separate":[112],"often":[114],"sophisticated":[115],"solution":[117],"neither":[120],"generalizable":[121],"nor":[122],"scalable.":[123],"In":[124],"paper,":[126],"we":[127],"propose":[128],"semaphore":[130,169],"method":[136],"both":[137],"which":[139],"can":[140],"easily":[142],"integrated":[143],"into":[144],"an":[145,166,173],"existing":[146],"TGPM":[147],"support":[149],"parallelism.":[151],"We":[152],"demonstrated":[154],"effectiveness":[156],"efficiency":[158],"our":[160,168],"approach":[161],"real":[163],"applications.":[164],"As":[165],"example,":[167],"speeds":[171],"up":[172,178],"industrial":[174],"circuit":[175],"placement":[176],"28%.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}