{"id":"https://openalex.org/W1553800774","doi":"https://doi.org/10.1109/hipc.2014.7116896","title":"GPU parallelization of the stochastic on-time arrival problem","display_name":"GPU parallelization of the stochastic on-time arrival problem","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1553800774","doi":"https://doi.org/10.1109/hipc.2014.7116896","mag":"1553800774"},"language":"en","primary_location":{"id":"doi:10.1109/hipc.2014.7116896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2014.7116896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 21st International Conference on High Performance Computing (HiPC)","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/A5061646272","display_name":"Maleen Abeydeera","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Maleen Abeydeera","raw_affiliation_strings":["Electronic and Telecommunication Engineering, University of Moratuwa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Telecommunication Engineering, University of Moratuwa","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075292776","display_name":"Samitha Samaranayake","orcid":"https://orcid.org/0000-0002-5459-3898"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samitha Samaranayake","raw_affiliation_strings":["Systems Engineering, University of California, Berkely","Systems Engineering, University of California Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering, University of California, Berkely","institution_ids":[]},{"raw_affiliation_string":"Systems Engineering, University of California Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"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":5,"citation_normalized_percentile":{"value":0.12841959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"43","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.8414629697799683},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7235552072525024},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6847947239875793},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.6046838760375977},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5241183042526245},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5101149678230286},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.49819302558898926},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48871374130249023},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.46115541458129883},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.4206158518791199},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40802866220474243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27787965536117554},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23130160570144653},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08384361863136292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8414629697799683},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7235552072525024},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6847947239875793},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6046838760375977},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5241183042526245},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5101149678230286},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.49819302558898926},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48871374130249023},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.46115541458129883},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.4206158518791199},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40802866220474243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27787965536117554},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23130160570144653},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08384361863136292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hipc.2014.7116896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2014.7116896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 21st International Conference on High Performance Computing (HiPC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1497479016","https://openalex.org/W1537634146","https://openalex.org/W1604276976","https://openalex.org/W1813030236","https://openalex.org/W1974399255","https://openalex.org/W1982444443","https://openalex.org/W2011822474","https://openalex.org/W2042022756","https://openalex.org/W2046236705","https://openalex.org/W2061159612","https://openalex.org/W2084634989","https://openalex.org/W2111065254","https://openalex.org/W2122967662","https://openalex.org/W2168109789","https://openalex.org/W2168148394","https://openalex.org/W2171924949","https://openalex.org/W2398179450","https://openalex.org/W2401054706","https://openalex.org/W6629953547","https://openalex.org/W6632224712","https://openalex.org/W6636025607","https://openalex.org/W6671500556","https://openalex.org/W6676846651"],"related_works":["https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W2023572661","https://openalex.org/W4245975140","https://openalex.org/W2532592438","https://openalex.org/W1977763331","https://openalex.org/W2062253548","https://openalex.org/W4225414539","https://openalex.org/W4289522463"],"abstract_inverted_index":{"The":[0,22],"Stochastic":[1],"On-Time":[2],"Arrival":[3],"(SOTA)":[4],"problem":[5],"has":[6],"recently":[7],"been":[8],"studied":[9],"as":[10],"an":[11,155],"alternative":[12],"to":[13,25,77,101],"traditional":[14],"shortest-path":[15],"formulations":[16],"in":[17,147],"situations":[18],"with":[19,43,53,162],"hard":[20],"deadlines.":[21],"goal":[23],"is":[24,58,72,117],"find":[26],"a":[27,39,59,87,108,163],"routing":[28],"strategy":[29,89],"that":[30,140],"maximizes":[31],"the":[32,36,44,48,66,78,92,102,123,134,141],"probability":[33],"of":[34,47,69,82,98,115,122,128,133],"reaching":[35],"destination":[37],"within":[38],"pre-specified":[40],"time":[41,165],"budget,":[42],"edge":[45,156],"weights":[46],"graph":[49],"being":[50],"random":[51],"variables":[52],"arbitrary":[54],"distributions.":[55],"While":[56],"this":[57],"practically":[60],"useful":[61],"formulation":[62],"for":[63,90,159],"vehicle":[64],"routing,":[65],"commercial":[67],"deployment":[68],"such":[70],"methods":[71],"not":[73],"currently":[74],"feasible":[75],"due":[76],"high":[79],"computational":[80],"complexity":[81],"existing":[83],"solutions.":[84],"We":[85,137],"present":[86],"parallelization":[88,121],"improving":[91],"computation":[93],"times":[94],"by":[95],"multiple":[96],"orders":[97],"magnitude":[99,116,129],"compared":[100],"single":[103,113],"threaded":[104],"CPU":[105],"implementations,":[106],"using":[107,150],"CUDA":[109],"GPU":[110,135],"implementation.":[111],"A":[112],"order":[114,127],"achieved":[118],"via":[119,130],"naive":[120],"problem,":[124],"and":[125,154],"another":[126],"optimal":[131],"utilization":[132],"resources.":[136],"also":[138],"show":[139],"runtime":[142],"can":[143],"be":[144],"further":[145],"reduced":[146],"certain":[148],"cases":[149],"dynamic":[151],"thread":[152],"assignment":[153],"clustering":[157],"method":[158],"accelerating":[160],"queries":[161],"small":[164],"budget.":[166]},"counts_by_year":[{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}