{"id":"https://openalex.org/W2009562125","doi":"https://doi.org/10.1109/ipdpsw.2010.5470689","title":"On the parallelisation of MCMC by speculative chain execution","display_name":"On the parallelisation of MCMC by speculative chain execution","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W2009562125","doi":"https://doi.org/10.1109/ipdpsw.2010.5470689","mag":"2009562125"},"language":"en","primary_location":{"id":"doi:10.1109/ipdpsw.2010.5470689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2010.5470689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Parallel &amp; Distributed Processing, Workshops and Phd Forum (IPDPSW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5020479969","display_name":"Jonathan Byrd","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan M R Byrd","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, UK","Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051267613","display_name":"Stephen A. Jarvis","orcid":"https://orcid.org/0000-0002-1249-2167"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen A Jarvis","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, UK","Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081010150","display_name":"Abhir Bhalerao","orcid":"https://orcid.org/0000-0001-8830-329X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abhir H Bhalerao","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, UK","Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK#TAB#","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9990000128746033,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.8302830457687378},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8167888522148132},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5732897520065308},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5643465518951416},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47637245059013367},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44295674562454224},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43981972336769104},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4231938123703003},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4231346547603607},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.41043156385421753},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.38006889820098877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3281725347042084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22980010509490967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21008384227752686},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15585851669311523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08189952373504639}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302830457687378},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8167888522148132},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5732897520065308},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5643465518951416},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47637245059013367},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44295674562454224},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43981972336769104},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4231938123703003},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4231346547603607},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.41043156385421753},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.38006889820098877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3281725347042084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22980010509490967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21008384227752686},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15585851669311523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08189952373504639},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ipdpsw.2010.5470689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2010.5470689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Parallel &amp; Distributed Processing, Workshops and Phd Forum (IPDPSW)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:47412","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.190.3797","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.3797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://text.www2.warwick.ac.uk/fac/sci/dcs/research/hpsg/publications/pubs/mtaap.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/36bcc63f-197e-41d1-ae24-f00e143240f4","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/36bcc63f-197e-41d1-ae24-f00e143240f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W95300099","https://openalex.org/W1512696101","https://openalex.org/W1965122996","https://openalex.org/W1989782792","https://openalex.org/W2048971218","https://openalex.org/W2072329064","https://openalex.org/W2106706098","https://openalex.org/W2117443107","https://openalex.org/W2137926939","https://openalex.org/W2141310108","https://openalex.org/W2162654726","https://openalex.org/W4255053812","https://openalex.org/W6603925280","https://openalex.org/W6630651213","https://openalex.org/W6647959318","https://openalex.org/W6668521081","https://openalex.org/W6677711463"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W2144453115","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2326041751","https://openalex.org/W2025467172"],"abstract_inverted_index":{"The":[0],"increasing":[1],"availability":[2],"of":[3,15,51,73,120,142,196],"multi-core":[4],"and":[5,34,58,64,116,188],"multiprocessor":[6],"architectures":[7,182],"provides":[8],"new":[9],"opportunities":[10],"for":[11,28,38,69],"improving":[12,70],"the":[13,71,89,105,109,121,128,132,140,165],"performance":[14,72],"many":[16],"computer":[17],"simulations.":[18],"Markov":[19,74,136],"Chain":[20,75],"Monte":[21,76],"Carlo":[22,77],"(MCMC)":[23],"simulations":[24,78],"are":[25],"widely":[26],"used":[27],"approximate":[29],"counting":[30],"problems,":[31],"Bayesian":[32],"inference":[33],"as":[35,209],"a":[36,48,193],"means":[37],"estimating":[39],"very":[40],"high-dimensional":[41],"integrals.":[42],"As":[43],"such":[44],"MCMC":[45],"has":[46],"had":[47],"wide":[49],"variety":[50],"applications":[52],"in":[53,168,184,207],"fields":[54],"including":[55],"computational":[56],"biology":[57],"physics,":[59],"financial":[60],"econometrics,":[61],"machine":[62],"learning":[63],"image":[65],"processing.":[66,216],"One":[67],"method":[68,113],"is":[79],"to":[80,84,96,134,151,198],"use":[81],"SMP":[82],"machines":[83],"perform":[85,135,183],"'speculative":[86],"moves',":[87],"reducing":[88],"runtime":[90,169,194],"whilst":[91],"producing":[92],"statistically":[93],"identical":[94],"results":[95],"conventional":[97,202],"sequential":[98,215],"implementations.":[99],"In":[100],"this":[101,175,186],"paper":[102],"we":[103,162],"examine":[104],"circumstances":[106],"under":[107],"which":[108],"original":[110],"speculative":[111,149,203],"moves":[112,204],"performs":[114],"poorly,":[115],"consider":[117],"how":[118,179],"some":[119],"situations":[122],"can":[123,163],"be":[124,146,172],"addressed":[125],"by":[126,148,174],"refining":[127],"implementation.":[129],"We":[130,177],"extend":[131],"technique":[133],"Chains":[137],"speculatively,":[138],"expanding":[139],"range":[141],"algorithms":[143],"that":[144,170,191],"maybe":[145],"accelerated":[147],"execution":[150,208],"those":[152],"with":[153],"non-uniform":[154],"move":[155],"processing":[156],"times.":[157],"By":[158],"simulating":[159],"program":[160],"runs":[161],"predict":[164],"theoretical":[166],"reduction":[167,195],"may":[171],"achieved":[173],"technique.":[176],"compare":[178],"efficiently":[180],"different":[181],"using":[185,201],"method,":[187],"present":[189],"experiments":[190],"demonstrate":[192],"up":[197],"35-42%":[199],"where":[200],"would":[205],"result":[206],"slow,":[210],"if":[211],"not":[212],"slower,":[213],"than":[214]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
