{"id":"https://openalex.org/W2976987982","doi":"https://doi.org/10.1109/hpec.2019.8916366","title":"Message Scheduling for Performant, Many-Core Belief Propagation","display_name":"Message Scheduling for Performant, Many-Core Belief Propagation","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2976987982","doi":"https://doi.org/10.1109/hpec.2019.8916366","mag":"2976987982"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2019.8916366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.11469","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042652043","display_name":"Mark Van der Merwe","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark Van der Merwe","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, USA","University of Utah, School of Computing, Salt Lake City, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, School of Computing, Salt Lake City, USA#TAB#","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015629734","display_name":"V. Roshan Joseph","orcid":"https://orcid.org/0000-0002-9430-5301"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinu Joseph","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, USA","University of Utah, School of Computing, Salt Lake City, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, School of Computing, Salt Lake City, USA#TAB#","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069846379","display_name":"Ganesh Gopalakrishnan","orcid":"https://orcid.org/0000-0002-3705-0031"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ganesh Gopalakrishnan","raw_affiliation_strings":["School of Computing, University of Utah, Salt Lake City, USA","University of Utah, School of Computing, Salt Lake City, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah, Salt Lake City, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"University of Utah, School of Computing, Salt Lake City, USA#TAB#","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042652043"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13691827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9962999820709229,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.9198055863380432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8614746332168579},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.6937305331230164},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6396382451057434},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6393990516662598},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5939761400222778},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5668066740036011},{"id":"https://openalex.org/keywords/randomized-algorithm","display_name":"Randomized algorithm","score":0.5260743498802185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4092590808868408},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.40076953172683716},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39324918389320374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31433823704719543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15916171669960022},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1366538405418396},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12103486061096191}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.9198055863380432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8614746332168579},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.6937305331230164},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6396382451057434},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6393990516662598},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5939761400222778},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5668066740036011},{"id":"https://openalex.org/C128669082","wikidata":"https://www.wikidata.org/wiki/Q583461","display_name":"Randomized algorithm","level":2,"score":0.5260743498802185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4092590808868408},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.40076953172683716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39324918389320374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31433823704719543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15916171669960022},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1366538405418396},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12103486061096191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/hpec.2019.8916366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.11469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.11469","pdf_url":"https://arxiv.org/pdf/1909.11469","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2976987982","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1909.11469.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1909.11469","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.11469","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.11469","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.11469","pdf_url":"https://arxiv.org/pdf/1909.11469","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1159014390","display_name":null,"funder_award_id":"1704715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G389587649","display_name":"SHF: Small: Indy: Toward Safe and Fast Compiler Flags","funder_award_id":"1817073","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2976987982.pdf","grobid_xml":"https://content.openalex.org/works/W2976987982.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1525888637","https://openalex.org/W1555946726","https://openalex.org/W1560512119","https://openalex.org/W1809663628","https://openalex.org/W2021548416","https://openalex.org/W2026129786","https://openalex.org/W2058942559","https://openalex.org/W2059212813","https://openalex.org/W2067017781","https://openalex.org/W2074982700","https://openalex.org/W2078063076","https://openalex.org/W2098678088","https://openalex.org/W2098903349","https://openalex.org/W2100034662","https://openalex.org/W2100584922","https://openalex.org/W2107173440","https://openalex.org/W2153278369","https://openalex.org/W2160988325","https://openalex.org/W2165949176","https://openalex.org/W2167149929","https://openalex.org/W2543424871","https://openalex.org/W2545705404","https://openalex.org/W2572767837","https://openalex.org/W2773131141","https://openalex.org/W6631424144","https://openalex.org/W6633434192","https://openalex.org/W6638475473","https://openalex.org/W6665451062","https://openalex.org/W6674866097","https://openalex.org/W6675196758","https://openalex.org/W6746625741"],"related_works":["https://openalex.org/W2991069726","https://openalex.org/W1548834885","https://openalex.org/W2135449963","https://openalex.org/W2906405651","https://openalex.org/W2161550262","https://openalex.org/W2950909787","https://openalex.org/W2037017016","https://openalex.org/W2752401934","https://openalex.org/W3136416950","https://openalex.org/W2987375765","https://openalex.org/W2783001783","https://openalex.org/W2905428125","https://openalex.org/W1481131999","https://openalex.org/W94363386","https://openalex.org/W3192514716","https://openalex.org/W2163801249","https://openalex.org/W3170086499","https://openalex.org/W2735817425","https://openalex.org/W2785879382","https://openalex.org/W2910390025"],"abstract_inverted_index":{"Belief":[0],"Propagation":[1],"(BP)":[2],"is":[3,48,68],"a":[4,82,96,123],"message-passing":[5],"algorithm":[6,34,46,76],"for":[7,87],"approximate":[8],"inference":[9,42],"over":[10],"Probabilistic":[11],"Graphical":[12,54],"Models":[13],"(PGMs),":[14],"finding":[15],"many":[16],"applications":[17],"such":[18],"as":[19],"computer":[20],"vision,":[21],"error-correcting":[22],"codes,":[23],"and":[24,30,100,105],"protein-folding.":[25],"While":[26],"general,":[27],"the":[28,33,70,75,137],"convergence":[29,101],"speed":[31,99],"of":[32,72,84],"has":[35],"limited":[36],"its":[37],"practical":[38],"use":[39],"on":[40,89,103,136],"difficult":[41],"problems.":[43],"As":[44],"an":[45],"that":[47,93,107],"highly":[49],"amenable":[50],"to":[51,114],"parallelization,":[52],"many-core":[53,66],"Processing":[55],"Units":[56],"(GPUs)":[57],"could":[58],"significantly":[59],"improve":[60],"BP":[61,64,88,94,130],"performance.":[62,79],"Improving":[63],"through":[65],"systems":[67],"non-trivial:":[69],"scheduling":[71,86,127],"messages":[73],"in":[74],"strongly":[77],"affects":[78],"We":[80,91],"present":[81,122],"study":[83],"message":[85,109,126],"GPUs.":[90],"demonstrate":[92],"exhibits":[95],"tradeoff":[97],"between":[98],"based":[102],"parallelism":[104],"show":[106],"existing":[108,134],"schedulings":[110],"are":[111],"not":[112],"able":[113],"utilize":[115],"this":[116,119],"tradeoff.":[117],"To":[118],"end,":[120],"we":[121],"novel":[124],"randomized":[125],"approach,":[128],"Randomized":[129],"(RnBP),":[131],"which":[132],"outperforms":[133],"methods":[135],"GPU.":[138]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}