{"id":"https://openalex.org/W3021278669","doi":"https://doi.org/10.1109/access.2020.2991099","title":"Strength Check of Aircraft Parts Based on Multi-GPU Clusters for Fast Calculation of Sparse Linear Equations","display_name":"Strength Check of Aircraft Parts Based on Multi-GPU Clusters for Fast Calculation of Sparse Linear Equations","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3021278669","doi":"https://doi.org/10.1109/access.2020.2991099","mag":"3021278669"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2991099","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991099","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079791.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101769540","display_name":"Yuhua Zhang","orcid":"https://orcid.org/0000-0003-4844-9053"},"institutions":[{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Baoji University of Arts and Sciences, Baoji, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Baoji University of Arts and Sciences, Baoji, China","institution_ids":["https://openalex.org/I2799293361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080596069","display_name":"Binxing Hu","orcid":"https://orcid.org/0000-0003-3576-4839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binxing Hu","raw_affiliation_strings":["Aerospace System Engineering Shanghai, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3576-4839","affiliations":[{"raw_affiliation_string":"Aerospace System Engineering Shanghai, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1757,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56285491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"8","issue":null,"first_page":"77188","last_page":"77203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9805999994277954,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8327953815460205},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.63592529296875},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.6191211938858032},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.6126585006713867},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5702046751976013},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5693871378898621},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5183635354042053},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4009069502353668},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.351705402135849}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327953815460205},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.63592529296875},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.6191211938858032},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.6126585006713867},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5702046751976013},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5693871378898621},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5183635354042053},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4009069502353668},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.351705402135849},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2991099","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991099","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:314db53c018a45359c7aa9dbf19fe03c","is_oa":true,"landing_page_url":"https://doaj.org/article/314db53c018a45359c7aa9dbf19fe03c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 77188-77203 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2991099","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991099","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079791.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3495028400","display_name":null,"funder_award_id":"ZK2018097","funder_id":"https://openalex.org/F4320321448","funder_display_name":"Baoji University of Arts And Sciences"}],"funders":[{"id":"https://openalex.org/F4320321448","display_name":"Baoji University of Arts And Sciences","ror":"https://ror.org/05nx0xs09"},{"id":"https://openalex.org/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3021278669.pdf","grobid_xml":"https://content.openalex.org/works/W3021278669.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W164384110","https://openalex.org/W1598064945","https://openalex.org/W1928233266","https://openalex.org/W1981885118","https://openalex.org/W2009853648","https://openalex.org/W2010585027","https://openalex.org/W2014344607","https://openalex.org/W2014730252","https://openalex.org/W2035080386","https://openalex.org/W2046074714","https://openalex.org/W2067951191","https://openalex.org/W2074093855","https://openalex.org/W2095420020","https://openalex.org/W2105672886","https://openalex.org/W2120719592","https://openalex.org/W2124007994","https://openalex.org/W2154111453","https://openalex.org/W2154118576","https://openalex.org/W2291092806","https://openalex.org/W2318641113","https://openalex.org/W2327922682","https://openalex.org/W2329018331","https://openalex.org/W2329460376","https://openalex.org/W2530001924","https://openalex.org/W2539871928","https://openalex.org/W2568149362","https://openalex.org/W2621332667","https://openalex.org/W2725248182","https://openalex.org/W2760185815","https://openalex.org/W2762392833","https://openalex.org/W2766754718","https://openalex.org/W2781571299","https://openalex.org/W2782095686","https://openalex.org/W2785736712","https://openalex.org/W2795643163","https://openalex.org/W2901510060","https://openalex.org/W2909509959","https://openalex.org/W2913245501","https://openalex.org/W2940938108","https://openalex.org/W2944006771","https://openalex.org/W2963934882","https://openalex.org/W2965014183","https://openalex.org/W2970363975","https://openalex.org/W2978619376","https://openalex.org/W2979448231","https://openalex.org/W2980442279","https://openalex.org/W2993866276","https://openalex.org/W2997220374","https://openalex.org/W2997619752","https://openalex.org/W2997945685","https://openalex.org/W2998079531","https://openalex.org/W6662058050"],"related_works":["https://openalex.org/W2365612721","https://openalex.org/W1983864973","https://openalex.org/W2063502215","https://openalex.org/W2114781389","https://openalex.org/W2380565408","https://openalex.org/W2887042214","https://openalex.org/W95536010","https://openalex.org/W2526784484","https://openalex.org/W2077700531","https://openalex.org/W1509943448"],"abstract_inverted_index":{"In":[0,102],"order":[1,103],"to":[2,11,27,86,104,161,172,244],"improve":[3],"the":[4,7,13,29,39,44,51,61,73,81,94,98,106,112,117,121,146,155,174,179,185,218,226,233,242,255],"cost-effectiveness":[5],"ratio,":[6],"next-generation":[8],"vehicle":[9,260],"needs":[10],"meet":[12],"requirements":[14],"of":[15,35,43,53,63,67,72,83,108,111,116,120,128,187,190,196,222,259],"reuse,":[16],"while":[17],"adopting":[18],"a":[19,64,87,123,165],"lighter":[20],"structural":[21],"weight,":[22],"so":[23],"it":[24],"is":[25,143,158],"necessary":[26],"realize":[28,173],"strength":[30,257],"calculation":[31,110,221],"and":[32,91,126,201,207,211,235,250,252],"condition":[33],"monitoring":[34,46],"key":[36,95,118],"components":[37,85,96,119],"in":[38,97,145,164,178,225,238],"digital":[40],"twin.":[41],"Most":[42],"current":[45],"methods":[47],"are":[48,205,215],"based":[49,136],"on":[50,137,217],"characteristics":[52],"various":[54],"data":[55,176],"acquisition":[56],"systems,":[57],"but":[58],"they":[59],"need":[60],"support":[62],"large":[65,160],"number":[66],"flight":[68],"data.":[69],"The":[70,220],"disadvantages":[71],"above":[74],"strategy":[75],"can":[76,253],"be":[77,162],"avoided":[78],"by":[79],"reducing":[80],"structure":[82],"aircraft":[84],"finite":[88,113],"element":[89,114],"model":[90,115],"quickly":[92,249],"checking":[93],"health":[99],"management":[100],"system.":[101],"solve":[105,245],"problem":[107,186],"fast":[109,256],"aircraft,":[122],"parallel":[124],"algorithm":[125,234],"framework":[127],"large-scale":[129,246],"sparse":[130,156,228,247],"matrix":[131,157,191,197,229,248],"preprocessing":[132,194],"conjugate":[133],"gradient":[134],"method":[135],"CUDA(Compute":[138],"Unified":[139],"Device":[140],"Architecture)":[141],"technology":[142],"proposed":[144,237],"multi":[147],"GPU(Graphics":[148],"Processing":[149],"Unit)":[150],"workstation":[151],"cluster":[152],"environment.":[153,183],"Once":[154],"too":[159],"processed":[163],"single":[166],"workstation,":[167],"this":[168,239],"paper":[169,240],"discusses":[170],"how":[171],"optimized":[175],"segmentation":[177],"distributed":[180],"multi-GPU":[181],"computing":[182],"For":[184],"iterative":[188],"solution":[189],"preprocessing,":[192],"two":[193],"strategies":[195,214],"bandwidth":[198],"reduction":[199],"parallelization":[200],"incomplete":[202],"Cholesky":[203],"decomposition":[204],"proposed,":[206],"asynchronous":[208],"task":[209],"concurrency":[210],"load":[212],"balancing":[213],"designed":[216],"architecture.":[219],"some":[223],"examples":[224],"standard":[227],"database":[230],"shows":[231],"that":[232],"architecture":[236],"have":[241],"ability":[243],"efficiently,":[251],"complete":[254],"verification":[258],"components.":[261]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}