{"id":"https://openalex.org/W2549748540","doi":"https://doi.org/10.1109/iccd.2016.7753309","title":"SPMario: Scale up MapReduce with I/O-Oriented Scheduling for the GPU","display_name":"SPMario: Scale up MapReduce with I/O-Oriented Scheduling for the GPU","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2549748540","doi":"https://doi.org/10.1109/iccd.2016.7753309","mag":"2549748540"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.2016.7753309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","raw_type":"proceedings-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/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA, U.S.A","institution_ids":["https://openalex.org/I36258959","https://openalex.org/I160856358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077363344","display_name":"Hung\u2010Wei Tseng","orcid":"https://orcid.org/0000-0001-8383-5203"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung-Wei Tseng","raw_affiliation_strings":["Department of Computer Science, North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005764203","display_name":"Steven Swanson","orcid":"https://orcid.org/0000-0002-5896-1037"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Swanson","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA, U.S.A","institution_ids":["https://openalex.org/I36258959","https://openalex.org/I160856358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3807,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87370124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9966999888420105,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8764891624450684},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7676137685775757},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6925646066665649},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.667999267578125},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4971297085285187},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47740545868873596},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.45697009563446045},{"id":"https://openalex.org/keywords/job-scheduler","display_name":"Job scheduler","score":0.43003350496292114},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39206790924072266},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22743868827819824},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.1081104576587677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10365334153175354},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.07745823264122009},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.05232059955596924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8764891624450684},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7676137685775757},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6925646066665649},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.667999267578125},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4971297085285187},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47740545868873596},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.45697009563446045},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.43003350496292114},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39206790924072266},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22743868827819824},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.1081104576587677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10365334153175354},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.07745823264122009},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.05232059955596924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.2016.7753309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W68188327","https://openalex.org/W207128216","https://openalex.org/W1264773896","https://openalex.org/W1897307202","https://openalex.org/W1972343800","https://openalex.org/W1991126176","https://openalex.org/W2023745841","https://openalex.org/W2079026848","https://openalex.org/W2121341638","https://openalex.org/W2129817042","https://openalex.org/W2130479976","https://openalex.org/W2132836512","https://openalex.org/W2157729530","https://openalex.org/W2161190431","https://openalex.org/W2173213060","https://openalex.org/W4248767818","https://openalex.org/W6602738393","https://openalex.org/W6628139786"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2149404148","https://openalex.org/W1980160788","https://openalex.org/W44553394"],"abstract_inverted_index":{"The":[0,60],"popularity":[1],"of":[2,20,27,51,65],"GPUs":[3],"in":[4,25,31,115,126],"general":[5],"purpose":[6],"computation":[7],"has":[8],"prompted":[9],"efforts":[10],"to":[11,43,87,113,122],"scale":[12],"up":[13,45,86,112,121],"MapReduce":[14,41],"systems":[15],"with":[16,54],"GPUs,":[17],"but":[18],"lack":[19],"efficient":[21],"I/O":[22,57,98,105,129],"handling":[23],"results":[24],"underutilization":[26],"shared":[28],"system":[29,52,72],"resources":[30,53],"existing":[32],"systems.":[33],"This":[34],"paper":[35],"presents":[36],"SPMario,":[37],"a":[38,63,69],"scale-up":[39],"GPU":[40,91,127],"framework":[42],"speed":[44],"job":[46,78,83],"execution":[47,84,117],"and":[48,89,95,119,124,128],"boost":[49,90],"utilization":[50,92],"the":[55,76],"new":[56],"Oriented":[58,106],"Scheduling.":[59],"evaluation":[61],"on":[62],"set":[64],"representative":[66],"benchmarks":[67],"against":[68],"highly-optimized":[70],"baseline":[71],"shows":[73],"that":[74],"for":[75,97],"single":[77],"cases,":[79],"SPMario":[80],"can":[81],"speedup":[82],"by":[85,93,111,120],"2.28\u00d7,":[88],"2.12\u00d7":[94],"2.51\u00d7":[96],"utilization.":[99],"When":[100],"scheduling":[101,110],"two":[102],"jobs":[103],"together,":[104],"Scheduling":[107],"outperforms":[108],"round-robin":[109],"13.54%":[114],"total":[116],"time,":[118],"12.27%":[123],"14.92%":[125],"utilization,":[130],"respectively.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}