{"id":"https://openalex.org/W3007849603","doi":"https://doi.org/10.1109/mdat.2020.2974910","title":"GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation","display_name":"GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3007849603","doi":"https://doi.org/10.1109/mdat.2020.2974910","mag":"3007849603"},"language":"en","primary_location":{"id":"doi:10.1109/mdat.2020.2974910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdat.2020.2974910","pdf_url":null,"source":{"id":"https://openalex.org/S4210176427","display_name":"IEEE Design and Test","issn_l":"2168-2356","issn":["2168-2356","2168-2364"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Design & Test","raw_type":"journal-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/A5040952356","display_name":"Shaoyi Peng","orcid":"https://orcid.org/0000-0001-9963-1504"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaoyi Peng","raw_affiliation_strings":["University of California at Riverside, Riverside, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058844682","display_name":"Sheldon X.-D. Tan","orcid":"https://orcid.org/0000-0003-2119-6869"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheldon X.-D. Tan","raw_affiliation_strings":["University of California at Riverside, Riverside, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040952356"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":3.7994,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94478253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"37","issue":"3","first_page":"78","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9983000159263611,"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/T10739","display_name":"Electromagnetic Scattering and Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lu-decomposition","display_name":"LU decomposition","score":0.761783242225647},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7611433863639832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610058784484863},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6852872967720032},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6365415453910828},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5394338965415955},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5192980170249939},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4986758232116699},{"id":"https://openalex.org/keywords/incomplete-lu-factorization","display_name":"Incomplete LU factorization","score":0.4180452823638916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34497231245040894},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06258124113082886},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06019344925880432},{"id":"https://openalex.org/keywords/computational-chemistry","display_name":"Computational chemistry","score":0.05726879835128784}],"concepts":[{"id":"https://openalex.org/C123213974","wikidata":"https://www.wikidata.org/wiki/Q833089","display_name":"LU decomposition","level":4,"score":0.761783242225647},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7611433863639832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610058784484863},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6852872967720032},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6365415453910828},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5394338965415955},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5192980170249939},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4986758232116699},{"id":"https://openalex.org/C134978465","wikidata":"https://www.wikidata.org/wiki/Q1654069","display_name":"Incomplete LU factorization","level":4,"score":0.4180452823638916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34497231245040894},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06258124113082886},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06019344925880432},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.05726879835128784},{"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},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mdat.2020.2974910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdat.2020.2974910","pdf_url":null,"source":{"id":"https://openalex.org/S4210176427","display_name":"IEEE Design and Test","issn_l":"2168-2356","issn":["2168-2356","2168-2364"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Design & Test","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1710458826","display_name":null,"funder_award_id":"CCF-1816361","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6660498235","display_name":null,"funder_award_id":"CCF-1527324","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1520511539","https://openalex.org/W1998894100","https://openalex.org/W2020561008","https://openalex.org/W2035080386","https://openalex.org/W2041999884","https://openalex.org/W2055094346","https://openalex.org/W2058569192","https://openalex.org/W2118076222","https://openalex.org/W2132450860","https://openalex.org/W2136834900","https://openalex.org/W2208934446","https://openalex.org/W2887698420"],"related_works":["https://openalex.org/W2766762530","https://openalex.org/W2602301532","https://openalex.org/W2375608986","https://openalex.org/W2060455298","https://openalex.org/W2964496048","https://openalex.org/W2904573237","https://openalex.org/W3096060745","https://openalex.org/W4289119257","https://openalex.org/W1973739845","https://openalex.org/W1997196200"],"abstract_inverted_index":{"Editor's":[0],"note:":[1],"Many":[2],"scientific":[3],"computing":[4],"problems,":[5],"including":[6],"circuit":[7],"simulations,":[8],"rely":[9],"on":[10],"efficient":[11],"lower-upper":[12],"(LU)":[13],"decomposition":[14],"of":[15,22],"sparse":[16,46],"matrices.":[17],"Prior":[18],"studies":[19],"took":[20],"advantage":[21],"GPUs":[23],"to":[24,43],"parallelize":[25],"LU":[26,47],"decomposition,":[27],"but":[28],"they":[29],"suffer":[30],"from":[31],"nontrivial":[32],"data":[33],"dependencies.":[34],"This":[35],"article":[36],"presents":[37],"a":[38],"new":[39],"method,":[40],"called":[41],"GLU3.0,":[42],"accelerate":[44],"GPU-based":[45],"factorization.":[48],"-Umit":[49],"Ogras,":[50],"Arizona":[51],"State":[52],"University.":[53]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}