{"id":"https://openalex.org/W2794592689","doi":"https://doi.org/10.1145/3605573.3605591","title":"JSweep: A Patch-centric Data-driven Approach for Parallel Sweeps on Large-scale Meshes","display_name":"JSweep: A Patch-centric Data-driven Approach for Parallel Sweeps on Large-scale Meshes","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W2794592689","doi":"https://doi.org/10.1145/3605573.3605591","mag":"2794592689"},"language":"en","primary_location":{"id":"doi:10.1145/3605573.3605591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605573.3605591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.09876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101718584","display_name":"Jie Yan","orcid":"https://orcid.org/0009-0008-6601-1526"},"institutions":[{"id":"https://openalex.org/I4210119692","display_name":"Numerical Method (China)","ror":"https://ror.org/02ns8zp42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yan","raw_affiliation_strings":["CAEP Software Center for High Performance Numerical Simulation, China"],"raw_orcid":"https://orcid.org/0009-0008-6601-1526","affiliations":[{"raw_affiliation_string":"CAEP Software Center for High Performance Numerical Simulation, China","institution_ids":["https://openalex.org/I4210119692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103080828","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-7627-0133"},"institutions":[{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yang","raw_affiliation_strings":["Institute of Applied Physics and Computational Mathematics, China"],"raw_orcid":"https://orcid.org/0000-0002-7627-0133","affiliations":[{"raw_affiliation_string":"Institute of Applied Physics and Computational Mathematics, China","institution_ids":["https://openalex.org/I4210145278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101881960","display_name":"Aiqing Zhang","orcid":"https://orcid.org/0009-0001-4467-9268"},"institutions":[{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqing Zhang","raw_affiliation_strings":["Institute of Applied Physics and Computational Mathematics, China"],"raw_orcid":"https://orcid.org/0009-0001-4467-9268","affiliations":[{"raw_affiliation_string":"Institute of Applied Physics and Computational Mathematics, China","institution_ids":["https://openalex.org/I4210145278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054583215","display_name":"Zeyao Mo","orcid":"https://orcid.org/0000-0003-3280-5682"},"institutions":[{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyao Mo","raw_affiliation_strings":["Institute of Applied Physics and Computational Mathematics, China"],"raw_orcid":"https://orcid.org/0000-0003-3280-5682","affiliations":[{"raw_affiliation_string":"Institute of Applied Physics and Computational Mathematics, China","institution_ids":["https://openalex.org/I4210145278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"776","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9666000008583069,"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/T11106","display_name":"Data Management and Algorithms","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/polygon-mesh","display_name":"Polygon mesh","score":0.8854615688323975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7813377380371094},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5751718878746033},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.47420576214790344},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4495870769023895},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2577025294303894},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06973007321357727}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8854615688323975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813377380371094},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5751718878746033},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.47420576214790344},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4495870769023895},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2577025294303894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06973007321357727},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3605573.3605591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605573.3605591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.09876","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09876","pdf_url":"https://arxiv.org/pdf/1803.09876","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1803.09876","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.09876","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.09876","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09876","pdf_url":"https://arxiv.org/pdf/1803.09876","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W97348994","https://openalex.org/W1510878897","https://openalex.org/W1967675616","https://openalex.org/W1974544213","https://openalex.org/W1976532289","https://openalex.org/W2001746447","https://openalex.org/W2020165759","https://openalex.org/W2021893249","https://openalex.org/W2031174216","https://openalex.org/W2045271686","https://openalex.org/W2060732875","https://openalex.org/W2071567139","https://openalex.org/W2082821421","https://openalex.org/W2088092680","https://openalex.org/W2088301523","https://openalex.org/W2098554259","https://openalex.org/W2118953734","https://openalex.org/W2119149818","https://openalex.org/W2120250211","https://openalex.org/W2122747952","https://openalex.org/W2131062488","https://openalex.org/W2170616854","https://openalex.org/W2212416254","https://openalex.org/W2360680204","https://openalex.org/W2378256881","https://openalex.org/W2470714084","https://openalex.org/W2472854363","https://openalex.org/W2568664427","https://openalex.org/W2944043072","https://openalex.org/W2971869340","https://openalex.org/W3207505521","https://openalex.org/W4237634120","https://openalex.org/W4239127764","https://openalex.org/W6603975009"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W4388257798","https://openalex.org/W3183639206","https://openalex.org/W2044628889","https://openalex.org/W2365659824"],"abstract_inverted_index":{"In":[0,70],"mesh-based":[1],"numerical":[2],"simulations,":[3],"sweep":[4,11,32],"is":[5,33,89],"an":[6],"important":[7],"computation":[8],"pattern.":[9],"During":[10],"on":[12,15,58,111,116,143],"meshes,":[13],"computations":[14],"cells":[16,65],"are":[17],"strictly":[18],"ordered":[19],"by":[20],"data":[21],"dependencies":[22],"in":[23,81],"given":[24],"directions.":[25,69],"Due":[26],"to":[27,154],"this":[28,71],"order":[29],"constraint,":[30],"parallelizing":[31],"challenging,":[34],"especially":[35],"for":[36],"unstructured":[37,146],"and":[38,52,66,107,134,145],"deforming":[39],"meshes.":[40],"Meanwhile,":[41],"recent":[42],"high-fidelity":[43],"multi-physics":[44],"simulations":[45],"of":[46,64,68,87,105,128,156,158],"particle":[47],"transport,":[48,125],"including":[49],"nuclear":[50],"reactor":[51],"inertial":[53],"confinement":[54],"fusion,":[55],"require":[56],"sweeps":[57],"large":[59],"scale":[60,153],"meshes":[61,147],"with":[62,96,139,161],"billions":[63],"hundreds":[67],"paper,":[72],"we":[73,118],"present":[74],"JSweep,":[75,117],"a":[76,90,97,120],"parallel":[77,163],"data-driven":[78,93,122],"framework":[79],"integrated":[80],"the":[82],"JAxMIN":[83],"infrastructures.":[84],"The":[85],"essential":[86],"JSweep":[88,151],"general":[91],"patch-centric":[92],"abstraction,":[94],"coupled":[95],"high":[98],"performance":[99],"runtime":[100],"system":[101],"leveraging":[102],"hybrid":[103],"parallelism":[104],"MPI+threads":[106],"achieving":[108],"dynamic":[109],"communication":[110],"contemporary":[112],"multi-core":[113],"clusters.":[114],"Built":[115],"implement":[119],"representative":[121],"algorithm,":[123],"Sn":[124],"featuring":[126],"optimizations":[127],"vertex":[129],"clustering,":[130],"multi-level":[131],"priority":[132],"strategy":[133],"patch-angle":[135],"parallelism.":[136],"Experimental":[137],"evaluation":[138],"two":[140],"real-world":[141],"applications":[142],"structured":[144],"respectively,":[148],"demonstrates":[149],"that":[150],"can":[152],"tens":[155],"thousands":[157],"processor":[159],"cores":[160],"reasonable":[162],"efficiency.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-04-06T00:00:00"}
