{"id":"https://openalex.org/W2987081155","doi":"https://doi.org/10.1145/3295500.3356147","title":"Adaptive neural network-based approximation to accelerate eulerian fluid simulation","display_name":"Adaptive neural network-based approximation to accelerate eulerian fluid simulation","publication_year":2019,"publication_date":"2019-11-07","ids":{"openalex":"https://openalex.org/W2987081155","doi":"https://doi.org/10.1145/3295500.3356147","mag":"2987081155"},"language":"en","primary_location":{"id":"doi:10.1145/3295500.3356147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3295500.3356147","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3295500.3356147","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3295500.3356147","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102994344","display_name":"Wenqian Dong","orcid":"https://orcid.org/0000-0002-8376-6647"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenqian Dong","raw_affiliation_strings":["University of California"],"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049590110","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0003-0855-3390"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["University of California"],"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457291","display_name":"Zhen Xie","orcid":"https://orcid.org/0000-0002-2761-0306"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Xie","raw_affiliation_strings":["University of California"],"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567014","display_name":"Li Dong","orcid":"https://orcid.org/0000-0002-2134-9266"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["University of California"],"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102994344"],"corresponding_institution_ids":["https://openalex.org/I2803209242"],"apc_list":null,"apc_paid":null,"fwci":11.6999,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9843017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8324869871139526},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7352617979049683},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6401034593582153},{"id":"https://openalex.org/keywords/fluid-simulation","display_name":"Fluid simulation","score":0.5851882100105286},{"id":"https://openalex.org/keywords/eulerian-path","display_name":"Eulerian path","score":0.5580835938453674},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.46559226512908936},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4393364489078522},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3672749400138855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30250459909439087},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2760658860206604},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09258604049682617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8324869871139526},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7352617979049683},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6401034593582153},{"id":"https://openalex.org/C59032088","wikidata":"https://www.wikidata.org/wiki/Q1434937","display_name":"Fluid simulation","level":2,"score":0.5851882100105286},{"id":"https://openalex.org/C43058520","wikidata":"https://www.wikidata.org/wiki/Q624580","display_name":"Eulerian path","level":3,"score":0.5580835938453674},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.46559226512908936},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4393364489078522},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3672749400138855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30250459909439087},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2760658860206604},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09258604049682617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3295500.3356147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3295500.3356147","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3295500.3356147","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.11832","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.11832","pdf_url":"https://arxiv.org/pdf/2008.11832","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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3295500.3356147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3295500.3356147","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3295500.3356147","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1308124067","display_name":null,"funder_award_id":"1718194","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2459876197","display_name":"CSR: Small: Collaborative Research: Exploring Portable Data Placement on Massively Parallel Platforms with Heterogeneous Memory Architectures","funder_award_id":"1617967","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2742825199","display_name":null,"funder_award_id":"NS-1617967, CCF-1553645 ,CCF-171819","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7968365520","display_name":null,"funder_award_id":"CCF-1553645","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8434336419","display_name":"CAREER: Application-centric, Reliable and Efficient High Performance Computing","funder_award_id":"1553645","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2987081155.pdf","grobid_xml":"https://content.openalex.org/works/W2987081155.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W42202159","https://openalex.org/W82764054","https://openalex.org/W161859867","https://openalex.org/W602627171","https://openalex.org/W1686810756","https://openalex.org/W1966158133","https://openalex.org/W1985694256","https://openalex.org/W1994612178","https://openalex.org/W1997654684","https://openalex.org/W2016316738","https://openalex.org/W2017032799","https://openalex.org/W2073730395","https://openalex.org/W2074702228","https://openalex.org/W2076077791","https://openalex.org/W2080144738","https://openalex.org/W2096320147","https://openalex.org/W2105347394","https://openalex.org/W2106291522","https://openalex.org/W2111073471","https://openalex.org/W2119803205","https://openalex.org/W2163605009","https://openalex.org/W2168493287","https://openalex.org/W2170854520","https://openalex.org/W2181101938","https://openalex.org/W2226799981","https://openalex.org/W2237109911","https://openalex.org/W2293598046","https://openalex.org/W2295428826","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2356652130","https://openalex.org/W2463686631","https://openalex.org/W2501995758","https://openalex.org/W2541993794","https://openalex.org/W2554302513","https://openalex.org/W2578028941","https://openalex.org/W2604272474","https://openalex.org/W2707890836","https://openalex.org/W2746842762","https://openalex.org/W2766839578","https://openalex.org/W2766966408","https://openalex.org/W2787513570","https://openalex.org/W2809899846","https://openalex.org/W2883600281","https://openalex.org/W2886189612","https://openalex.org/W2920803465","https://openalex.org/W2920848790","https://openalex.org/W2949507647","https://openalex.org/W2951384764","https://openalex.org/W2963122961","https://openalex.org/W2963225922","https://openalex.org/W2963345431","https://openalex.org/W2964164125","https://openalex.org/W2971250823","https://openalex.org/W3099305384","https://openalex.org/W3104397553","https://openalex.org/W4229754601","https://openalex.org/W4232691409","https://openalex.org/W4234337589","https://openalex.org/W4235375376","https://openalex.org/W4237089331","https://openalex.org/W4285719527","https://openalex.org/W4295364049","https://openalex.org/W4297810741","https://openalex.org/W6604704034","https://openalex.org/W6654749217","https://openalex.org/W6706955873"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"The":[0,9,18],"Eulerian":[1,52],"fluid":[2,24,53,135],"simulation":[3,25,80,87,109,136,148],"is":[4],"an":[5,67,139],"important":[6],"HPC":[7],"application.":[8,65],"neural":[10,27,48,69,76,97,129],"network":[11,70,130],"has":[12],"been":[13],"applied":[14],"to":[15,43,81,99,103],"accelerate":[16,22],"it.":[17],"current":[19],"methods":[20],"that":[21,60,118],"the":[23,38,45,51,79,83,91,96,105,133,151],"with":[26,112,126],"networks":[28,49,77,98],"lack":[29],"flexibility":[30],"and":[31,41,64,86,122,132],"generalization.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,116],"tackle":[37],"above":[39],"limitation":[40],"aim":[42],"enhance":[44],"applicability":[46],"of":[47],"in":[50],"simulation.":[54],"We":[55],"introduce":[56],"Smart-fluidnet,":[57],"a":[58,127],"framework":[59],"automates":[61],"model":[62,131],"generation":[63],"Given":[66],"existing":[68],"as":[71],"input,":[72],"Smart-fluidnet":[73,93,119],"generates":[74],"multiple":[75],"before":[78],"meet":[82],"execution":[84],"time":[85],"quality":[88,149],"requirement.":[89],"During":[90],"simulation,":[92],"dynamically":[94],"switches":[95],"make":[100],"best":[101],"efforts":[102],"reach":[104],"user's":[106],"requirement":[107],"on":[108,138],"quality.":[110],"Evaluating":[111],"20,480":[113],"input":[114],"problems,":[115],"show":[117],"achieves":[120],"1.46x":[121],"590x":[123],"speedup":[124],"comparing":[125],"state-of-the-art":[128,152],"original":[134],"respectively":[137],"NVIDIA":[140],"Titan":[141],"X":[142],"Pascal":[143],"GPU,":[144],"while":[145],"providing":[146],"better":[147],"than":[150],"model.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-11-22T00:00:00"}
