{"id":"https://openalex.org/W2046659665","doi":"https://doi.org/10.1109/bigdata.2013.6691563","title":"Optimizing the MapReduce framework on Intel Xeon Phi coprocessor","display_name":"Optimizing the MapReduce framework on Intel Xeon Phi coprocessor","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2046659665","doi":"https://doi.org/10.1109/bigdata.2013.6691563","mag":"2046659665"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},"type":"preprint","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/A5103114808","display_name":"Mian Lu","orcid":"https://orcid.org/0009-0002-4853-8881"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Mian Lu","raw_affiliation_strings":["A * STAR, Institute of High Performance Computing","Institute of High Performance Computing, A*STAR;"],"affiliations":[{"raw_affiliation_string":"A * STAR, Institute of High Performance Computing","institution_ids":["https://openalex.org/I3004594783"]},{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR;","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433855","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-9343-3654"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077959628","display_name":"Huynh Phung Huynh","orcid":null},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huynh Phung Huynh","raw_affiliation_strings":["A * STAR, Institute of High Performance Computing","Institute of High Performance Computing, A*STAR;"],"affiliations":[{"raw_affiliation_string":"A * STAR, Institute of High Performance Computing","institution_ids":["https://openalex.org/I3004594783"]},{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR;","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013857595","display_name":"Zhongliang Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhongliang Ong","raw_affiliation_strings":["A * STAR, Institute of High Performance Computing","Institute of High Performance Computing, A*STAR;"],"affiliations":[{"raw_affiliation_string":"A * STAR, Institute of High Performance Computing","institution_ids":["https://openalex.org/I3004594783"]},{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR;","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604860","display_name":"Yun Liang","orcid":"https://orcid.org/0000-0002-9076-7998"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Liang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946576","display_name":"Bingsheng He","orcid":"https://orcid.org/0000-0001-8618-4581"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingsheng He","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001599295","display_name":"Rick Siow Mong Goh","orcid":"https://orcid.org/0000-0001-9116-1595"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rick Siow Mong Goh","raw_affiliation_strings":["Institute of High Performance Computing, A\u2217STAR","Institute of High Performance Computing, A*STAR;"],"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A\u2217STAR","institution_ids":["https://openalex.org/I3004594783"]},{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR;","institution_ids":["https://openalex.org/I3004594783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021109883","display_name":"Richard Huynh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Richard Huynh","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103114808"],"corresponding_institution_ids":["https://openalex.org/I3004594783"],"apc_list":null,"apc_paid":null,"fwci":22.06498478,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99253186,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.9983999729156494,"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/xeon-phi","display_name":"Xeon Phi","score":0.8916736841201782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8752748966217041},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7522011995315552},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.7080783247947693},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.695644199848175},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6581280827522278},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.5297157764434814},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.46114736795425415},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.44726696610450745},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22855696082115173}],"concepts":[{"id":"https://openalex.org/C96972482","wikidata":"https://www.wikidata.org/wiki/Q1049168","display_name":"Xeon Phi","level":2,"score":0.8916736841201782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8752748966217041},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7522011995315552},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.7080783247947693},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.695644199848175},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6581280827522278},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.5297157764434814},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46114736795425415},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.44726696610450745},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22855696082115173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2013.6691563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.755.1551","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.755.1551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1309.0215.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1568945110","https://openalex.org/W1982565841","https://openalex.org/W1991126176","https://openalex.org/W2006938992","https://openalex.org/W2033031014","https://openalex.org/W2050277572","https://openalex.org/W2066860750","https://openalex.org/W2099580433","https://openalex.org/W2102733233","https://openalex.org/W2104237323","https://openalex.org/W2104644701","https://openalex.org/W2120385681","https://openalex.org/W2127007746","https://openalex.org/W2128895768","https://openalex.org/W2129817042","https://openalex.org/W2133741166","https://openalex.org/W2139102017","https://openalex.org/W2139605600","https://openalex.org/W2157729530","https://openalex.org/W2161190431","https://openalex.org/W2170996201","https://openalex.org/W2173213060","https://openalex.org/W2912802084","https://openalex.org/W4248767818","https://openalex.org/W6675328473","https://openalex.org/W7047106041"],"related_works":["https://openalex.org/W2566637483","https://openalex.org/W2127324789","https://openalex.org/W1908180445","https://openalex.org/W2213533160","https://openalex.org/W2467043670","https://openalex.org/W2035419609","https://openalex.org/W3024308452","https://openalex.org/W3203561460","https://openalex.org/W2120385681","https://openalex.org/W1939907483"],"abstract_inverted_index":{"Abstract\u2014With":[0],"the":[1,12,46,54,62,68,75,80,84,95,108,120,125,142,148,164,173,181,214,236,255],"ease-of-programming,":[2],"flexibility":[3],"and":[4,26,37,144,176,217],"yet":[5],"effi-ciency,":[6],"MapReduce":[7,20,47,81,221,228],"has":[8,27],"become":[9],"one":[10],"of":[11,70,94,107],"most":[13],"popular":[14],"frameworks":[15],"for":[16,24,119,167,186,203,251],"building":[17],"big-data":[18],"applications.":[19],"was":[21],"originally":[22],"de-signed":[23],"distributed-computing,":[25],"been":[28],"extended":[29],"to":[30,78,98,104,123,140,146,180,198,212,246],"various":[31,252],"architectures,":[32],"e,g,":[33],"multi-core":[34,226],"CPUs,":[35],"GPUs":[36],"FPGAs.":[38],"In":[39,87,102],"this":[40,73],"work,":[41,89],"we":[42,90,113,136],"focus":[43],"on":[44,49,61,83,163,254],"optimizing":[45],"framework":[48,82,191,222,229,243],"Xeon":[50,85,96,215,256],"Phi,":[51],"which":[52,170],"is":[53,74,244],"latest":[55],"product":[56],"released":[57],"by":[58],"Intel":[59],"based":[60,227],"Many":[63],"Integrated":[64],"Core":[65],"Architecture.":[66],"To":[67],"best":[69],"our":[71,88,190,219,241],"knowledge,":[72],"first":[76],"work":[77],"optimize":[79],"Phi.":[86,257],"utilize":[91,137],"advanced":[92],"features":[93],"Phi":[97,216],"achieve":[99],"high":[100],"performance.":[101],"order":[103],"take":[105],"advantage":[106],"SIMD":[109,131],"vector":[110],"processing":[111],"units,":[112],"propose":[114],"a":[115,187,224],"vectorization":[116],"friendly":[117],"technique":[118],"map":[121,143],"phase":[122],"assist":[124],"auto-vectorization":[126],"as":[127,129],"well":[128],"develop":[130],"hash":[132],"computation":[133],"algorithms.":[134],"Furthermore,":[135],"MIMD":[138],"hyper-threading":[139],"pipeline":[141],"reduce":[145],"improve":[147,172],"resource":[149],"utilization.":[150],"We":[151,208],"also":[152],"eliminate":[153],"multiple":[154],"local":[155],"arrays":[156],"but":[157],"use":[158],"low":[159],"cost":[160],"atomic":[161],"operations":[162],"global":[165],"array":[166],"some":[168],"applications,":[169,235],"can":[171,192],"thread":[174],"scalability":[175],"data":[177],"locality":[178],"due":[179],"coherent":[182],"L2":[183],"caches.":[184],"Finally,":[185],"given":[188],"application,":[189],"either":[193],"automatically":[194],"detect":[195],"suitable":[196],"techniques":[197],"apply":[199],"or":[200],"provide":[201],"guideline":[202],"users":[204],"at":[205],"compilation":[206],"time.":[207],"conduct":[209],"comprehensive":[210],"experiments":[211],"benchmark":[213],"compare":[218],"optimized":[220,242],"with":[223],"state-of-the-art":[225],"(Phoenix++).":[230],"By":[231],"evaluating":[232],"six":[233],"real-world":[234],"experi-mental":[237],"results":[238],"show":[239],"that":[240],"1.2X":[245],"38X":[247],"faster":[248],"than":[249],"Phoenix++":[250],"applications":[253],"I.":[258]},"counts_by_year":[{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
