{"id":"https://openalex.org/W2731831065","doi":null,"title":"GPU Acceleration of MPS for Three-Dimensional Sloshing","display_name":"GPU Acceleration of MPS for Three-Dimensional Sloshing","publication_year":2017,"publication_date":"2017-06-27","ids":{"openalex":"https://openalex.org/W2731831065","mag":"2731831065"},"language":"en","primary_location":{"id":"mag:2731831065","doi":null,"is_oa":false,"landing_page_url":"https://sci-en-tech.com/ICCM/index.php/iccm2017/2017/paper/view/2648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The 8th International Conference on Computational Methods (ICCM2017)","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5100441942","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-8832-4012","observed_orcids":["https://orcid.org/0000-0002-8832-4012"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0002-8832-4012","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016743771","display_name":"Decheng Wan","orcid":"https://orcid.org/0000-0002-1279-3891","observed_orcids":["https://orcid.org/0000-0002-1279-3891"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Decheng Wan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0002-1279-3891","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13842733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11694","display_name":"Fluid Dynamics Simulations and Interactions","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11694","display_name":"Fluid Dynamics Simulations and Interactions","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":9.999999747378752e-05,"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/T10514","display_name":"Numerical methods in engineering","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/moving-particle-semi-implicit-method","display_name":"moving particle semi-implicit method","score":0.9819999933242798},{"id":"https://openalex.org/keywords/gpu-acceleration","display_name":"GPU acceleration","score":0.9110000133514404},{"id":"https://openalex.org/keywords/lagrangian-particle-methods","display_name":"Lagrangian particle methods","score":0.6930000185966492},{"id":"https://openalex.org/keywords/computation-cost-reduction","display_name":"computation cost reduction","score":0.6949999928474426},{"id":"https://openalex.org/keywords/large-scale-particle-simulation","display_name":"large-scale particle simulation","score":0.6579999923706055},{"id":"https://openalex.org/keywords/nonlinear-free-surface-flow","display_name":"nonlinear free surface flow","score":0.6389999985694885},{"id":"https://openalex.org/keywords/cpu-vs-gpu-performance-comparison","display_name":"CPU vs GPU performance comparison","score":0.6980000138282776}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.9085644483566284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7363133430480957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702443540096283},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.6821373701095581},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6190449595451355},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5817797780036926},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4318855404853821},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.42945927381515503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2923036217689514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15601995587348938},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14155256748199463},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.07111474871635437},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2731831065","doi":null,"is_oa":false,"landing_page_url":"https://sci-en-tech.com/ICCM/index.php/iccm2017/2017/paper/view/2648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The 8th International Conference on Computational Methods (ICCM2017)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W168292629","https://openalex.org/W1973420123","https://openalex.org/W1994458369","https://openalex.org/W2001620021","https://openalex.org/W2022687669","https://openalex.org/W2046681197","https://openalex.org/W2085686297","https://openalex.org/W2089153514","https://openalex.org/W2288379707","https://openalex.org/W2335366984","https://openalex.org/W2421065471","https://openalex.org/W2924506786","https://openalex.org/W2924840962"],"related_works":["https://openalex.org/W2889884210","https://openalex.org/W3115854494","https://openalex.org/W2907478953","https://openalex.org/W2892972449","https://openalex.org/W4206019945","https://openalex.org/W4362473788","https://openalex.org/W2055425659","https://openalex.org/W2889854117","https://openalex.org/W2028800890","https://openalex.org/W2964368453"],"abstract_inverted_index":{"In":[0,74],"this":[1],"paper,":[2],"the":[3,40,45,54,83,95,103,109,120,131,143],"application":[4],"of":[5,36,47,64,88,91,105,113,129,146],"a":[6,22,61,127,135],"GPU-based":[7,114,132],"particle":[8,17,48],"method":[9,20,24],"to":[10,29,59,81,101],"three-dimensional":[11],"sloshing":[12],"problem":[13],"is":[14,21,39,57,79,98,148],"presented.":[15],"Moving":[16],"semi-implicit":[18],"(MPS)":[19],"Lagrangian":[23],"which":[25,69],"can":[26],"be":[27],"used":[28],"simulate":[30,60],"nonlinear":[31],"flow":[32],"effectively.":[33],"But":[34],"one":[35,76],"its":[37],"drawbacks":[38],"high":[41],"computation":[42,86,144],"cost":[43,87],"with":[44,122,138],"increase":[46],"number.":[49],"Based":[50],"on":[51],"modified":[52],"MPS,":[53],"MPS-GPU-SJTU":[55],"solver":[56,115,133,140],"developed":[58],"large":[62],"sum":[63],"particles":[65],"by":[66,118,124],"using":[67],"GPU":[68,147],"supports":[70],"large-scale":[71],"scientific":[72],"computations.":[73],"addition,":[75],"optimization":[77],"strategy":[78],"applied":[80],"reduce":[82],"storage":[84],"and":[85,111],"Poisson":[89],"equation":[90],"pressure":[92],"(PPE).":[93],"Then":[94],"convergent":[96],"validation":[97],"carried":[99],"out":[100],"verify":[102],"accuracy":[104,110],"present":[106],"solver.":[107],"And":[108,142],"performance":[112],"are":[116],"investigated":[117],"comparing":[119],"results":[121],"those":[123],"CPU.":[125,152],"As":[126],"summary":[128],"results,":[130],"shows":[134],"good":[136],"agreement":[137],"CPU":[139],"(MLParticle-SJTU).":[141],"efficiency":[145],"much":[149],"higher":[150],"than":[151]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2017-07-14T00:00:00"}
