{"id":"https://openalex.org/W2079756411","doi":"https://doi.org/10.1145/1810085.1810101","title":"High-throughput Bayesian network learning using heterogeneous multicore computers","display_name":"High-throughput Bayesian network learning using heterogeneous multicore computers","publication_year":2010,"publication_date":"2010-06-02","ids":{"openalex":"https://openalex.org/W2079756411","doi":"https://doi.org/10.1145/1810085.1810101","mag":"2079756411","pmid":"https://pubmed.ncbi.nlm.nih.gov/28819655"},"language":"en","primary_location":{"id":"doi:10.1145/1810085.1810101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1810085.1810101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5557010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027174942","display_name":"Michael D. Linderman","orcid":"https://orcid.org/0000-0002-9643-7148"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael D. Linderman","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089543524","display_name":"Robert V. Bruggner","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Bruggner","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069170863","display_name":"Vivek R. Athalye","orcid":"https://orcid.org/0000-0001-6167-2562"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek Athalye","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102114110","display_name":"Teresa H. Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teresa H. Meng","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046286565","display_name":"Narges Bani Asadi","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narges Bani Asadi","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033995613","display_name":"Garry P. Nolan","orcid":"https://orcid.org/0000-0002-8862-9043"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garry P. Nolan","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027174942"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":6.0629,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96110188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2010","issue":null,"first_page":"95","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8039432168006897},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6656481027603149},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.65828537940979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4871325194835663},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.48708629608154297},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4803229868412018},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4723312258720398},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.42775222659111023},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4263794422149658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41762563586235046},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2381286323070526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039432168006897},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6656481027603149},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.65828537940979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871325194835663},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.48708629608154297},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4803229868412018},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4723312258720398},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.42775222659111023},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4263794422149658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41762563586235046},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2381286323070526},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1810085.1810101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1810085.1810101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},{"id":"pmid:28819655","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28819655","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICS ... : proceedings of the ... ACM International Conference on Supercomputing. International Conference on Supercomputing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:5557010","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5557010","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICS","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5557010","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5557010","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICS","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6842070396","display_name":null,"funder_award_id":"R01 CA130826-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1565709818","https://openalex.org/W1963818584","https://openalex.org/W1978507093","https://openalex.org/W1986557818","https://openalex.org/W2002555321","https://openalex.org/W2035731741","https://openalex.org/W2038254572","https://openalex.org/W2053775054","https://openalex.org/W2054444654","https://openalex.org/W2073307618","https://openalex.org/W2080794684","https://openalex.org/W2109426995","https://openalex.org/W2121082877","https://openalex.org/W2159080219","https://openalex.org/W2400246838","https://openalex.org/W6633901960"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W2188106786","https://openalex.org/W1554198325"],"abstract_inverted_index":{"Aberrant":[0],"intracellular":[1],"signaling":[2],"plays":[3],"an":[4,39,122],"important":[5,54],"role":[6],"in":[7],"many":[8],"diseases.":[9],"The":[10,92],"causal":[11],"structure":[12,33],"of":[13,34,70,98,135],"signal":[14],"transduction":[15],"networks":[16,55],"can":[17,130],"be":[18],"modeled":[19],"as":[20],"Bayesian":[21,35],"Networks":[22,36],"(BNs),":[23],"and":[24,156],"computationally":[25],"learned":[26],"from":[27,126],"experimental":[28],"data.":[29],"However,":[30],"learning":[31,78],"the":[32,102,116,148,160],"(BNs)":[37],"is":[38,47,81,95],"NP-hard":[40],"problem":[41],"that,":[42],"even":[43],"with":[44],"fast":[45],"heuristics,":[46],"too":[48],"time":[49],"consuming":[50],"for":[51,77,107],"large,":[52],"clinically":[53],"(20-50":[56],"nodes).":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,118,143,146],"present":[62],"a":[63,71,108,132],"novel":[64],"graphics":[65],"processing":[66],"unit":[67],"(GPU)-accelerated":[68],"implementation":[69,94],"Monte":[72],"Carlo":[73],"Markov":[74],"Chain-based":[75],"algorithm":[76],"BNs":[79],"that":[80,129],"up":[82],"to":[83,120,152],"7.5-fold":[84],"faster":[85],"than":[86],"current":[87],"general-purpose":[88],"processor":[89],"(GPP)-based":[90],"implementations.":[91,163],"GPU-based":[93],"just":[96],"one":[97],"several":[99],"implementations":[100],"within":[101],"larger":[103],"application,":[104,124],"each":[105],"optimized":[106],"different":[109,161],"input":[110],"or":[111],"machine":[112],"configuration.":[113],"We":[114],"describe":[115],"methodology":[117],"use":[119,147],"build":[121],"extensible":[123],"assembled":[125],"these":[127],"variants,":[128],"target":[131],"broad":[133],"range":[134],"heterogeneous":[136],"systems,":[137],"e.g.,":[138],"GPUs,":[139],"multicore":[140],"GPPs.":[141],"Specifically":[142],"show":[144],"how":[145],"Merge":[149],"programming":[150],"model":[151],"efficiently":[153],"integrate,":[154],"test":[155],"intelligently":[157],"select":[158],"among":[159],"potential":[162]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}