{"id":"https://openalex.org/W1968903770","doi":"https://doi.org/10.1515/1569396054027265","title":"Grid-based Quasi-Monte Carlo Applications","display_name":"Grid-based Quasi-Monte Carlo Applications","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1968903770","doi":"https://doi.org/10.1515/1569396054027265","mag":"1968903770"},"language":"en","primary_location":{"id":"doi:10.1515/1569396054027265","is_oa":false,"landing_page_url":"http://doi.org/10.1515/1569396054027265","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","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/A5079316675","display_name":"Yaohang Li","orcid":"https://orcid.org/0000-0003-0178-1876"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaohang Li","raw_affiliation_strings":["[North Carolina Agricultural and Technical State University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[North Carolina Agricultural and Technical State University]","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071387306","display_name":"Michael Mascagni","orcid":"https://orcid.org/0000-0003-3058-4580"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Mascagni","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2927,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78734383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12404","display_name":"Mathematical Approximation and Integration","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T12404","display_name":"Mathematical Approximation and Integration","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.996999979019165,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7128094434738159},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5787104368209839},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.561582088470459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5074209570884705},{"id":"https://openalex.org/keywords/quasi-monte-carlo-method","display_name":"Quasi-Monte Carlo method","score":0.4432186484336853},{"id":"https://openalex.org/keywords/monte-carlo-molecular-modeling","display_name":"Monte Carlo molecular modeling","score":0.36099445819854736},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24540314078330994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24440667033195496},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.2275766134262085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16946575045585632},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0676216185092926}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7128094434738159},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5787104368209839},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.561582088470459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074209570884705},{"id":"https://openalex.org/C63320529","wikidata":"https://www.wikidata.org/wiki/Q7269435","display_name":"Quasi-Monte Carlo method","level":5,"score":0.4432186484336853},{"id":"https://openalex.org/C37669827","wikidata":"https://www.wikidata.org/wiki/Q6904703","display_name":"Monte Carlo molecular modeling","level":4,"score":0.36099445819854736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24540314078330994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24440667033195496},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.2275766134262085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16946575045585632},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0676216185092926}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1515/1569396054027265","is_oa":false,"landing_page_url":"http://doi.org/10.1515/1569396054027265","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.90.2248","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.2248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://abner.ncat.edu/yaohang/publications/gridbasedquasiMonteCarlo.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:bpj:mcmeap:v:11:y:2005:i:1:p:39-55:n:3","is_oa":false,"landing_page_url":"https://doi.org/10.1515/1569396054027265","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W63254561","https://openalex.org/W1487379499","https://openalex.org/W1496954920","https://openalex.org/W1549438933","https://openalex.org/W1843970666","https://openalex.org/W1965102867","https://openalex.org/W1978934926","https://openalex.org/W2002000309","https://openalex.org/W2022735766","https://openalex.org/W2039088133","https://openalex.org/W2064936870","https://openalex.org/W2086611351","https://openalex.org/W2102827395","https://openalex.org/W2111996486","https://openalex.org/W2134321573","https://openalex.org/W2138352131","https://openalex.org/W2140332639","https://openalex.org/W2151084831","https://openalex.org/W2153609988","https://openalex.org/W2495261510","https://openalex.org/W2949835970"],"related_works":["https://openalex.org/W4294677683","https://openalex.org/W1548972748","https://openalex.org/W2374592211","https://openalex.org/W2005266888","https://openalex.org/W2026465639","https://openalex.org/W2352546530","https://openalex.org/W2364466961","https://openalex.org/W2019600130","https://openalex.org/W2088438353","https://openalex.org/W4212833344"],"abstract_inverted_index":{"Abstracts":[0],"\u2014":[1],"In":[2],"this":[3,108],"paper,":[4],"we":[5,116,132],"extend":[6],"the":[7,31,47,62,72,97,114,130,149],"techniques":[8,21,90,115,131],"used":[9,117],"in":[10,77,118,124],"Grid-based":[11,16,87,125],"Monte":[12,88,120],"Carlo":[13,18,89,94,121,127,146,166],"applications":[14,122,147],"to":[15,45,60,91,106,137,154],"quasi-Monte":[17,93,126,145,165],"applications.":[19,95,128],"These":[20],"include":[22],"an":[23,55],"N-out-of-M":[24],"strategy":[25],"for":[26,35,143],"efficiently":[27],"scheduling":[28],"subtasks":[29],"on":[30,148],"Grid,":[32,150],"lightweight":[33],"checkpointing":[34],"Grid":[36],"subtask":[37],"status":[38],"recovery,":[39],"a":[40,104,155],"partial":[41,52],"result":[42,57],"validation":[43],"scheme":[44,59],"verify":[46],"correctness":[48],"of":[49,65,85,99,113,162],"each":[50,66],"individual":[51],"result,":[53],"and":[54,110,140],"intermediate":[56],"checking":[58],"enforce":[61],"faithful":[63],"execution":[64],"subtask.":[67],"Our":[68],"analysis":[69],"shows":[70],"that":[71,159],"extremely":[73],"high":[74],"uniformity":[75],"seen":[76],"quasirandom":[78,101],"sequences":[79],"prevents":[80],"us":[81],"from":[82],"applying":[83],"many":[84,112],"our":[86],"Gridbased":[92,119],"However,":[96],"use":[98],"scrambled":[100],"sequence":[102],"becomes":[103],"key":[105],"tackling":[107],"problem,":[109],"makes":[111],"effective":[123],"All":[129],"will":[133],"describe":[134],"here":[135],"contribute":[136],"performance":[138],"improvement":[139],"trustworthiness":[141],"enhancement":[142],"large-scale":[144],"which":[151],"eventually":[152],"lead":[153],"high-performance":[156],"Grid-computing":[157],"infrastructure":[158],"is":[160],"capable":[161],"providing":[163],"trustworthy":[164],"computation":[167],"services.":[168],"1.":[169]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}