{"id":"https://openalex.org/W3033414186","doi":"https://doi.org/10.1145/3385209.3385220","title":"Evaluating Huge Matrix Multiplication on Real Hadoop Cluster","display_name":"Evaluating Huge Matrix Multiplication on Real Hadoop Cluster","publication_year":2020,"publication_date":"2020-02-19","ids":{"openalex":"https://openalex.org/W3033414186","doi":"https://doi.org/10.1145/3385209.3385220","mag":"3033414186"},"language":"en","primary_location":{"id":"doi:10.1145/3385209.3385220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3385209.3385220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Intelligent Information Technology","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/A5024061356","display_name":"Phan Duy Hung","orcid":"https://orcid.org/0000-0002-6033-6484"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Phan Duy Hung","raw_affiliation_strings":["FPT University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"FPT University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013891954","display_name":"Nguyen Ngoc Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Ngoc Chung","raw_affiliation_strings":["FPT University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"FPT University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024061356"],"corresponding_institution_ids":["https://openalex.org/I109689652"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.080593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9965999722480774,"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":0.9965999722480774,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9745000004768372,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/multiplication","display_name":"Multiplication (music)","score":0.8032251596450806},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.7956371307373047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799631357192993},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6451044082641602},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5949592590332031},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5469827651977539},{"id":"https://openalex.org/keywords/reducer","display_name":"Reducer","score":0.5115243196487427},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5069394707679749},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.42927491664886475},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4257824420928955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3365859091281891},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.232956200838089},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21990564465522766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1352454125881195},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07451131939888}],"concepts":[{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.8032251596450806},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.7956371307373047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799631357192993},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6451044082641602},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5949592590332031},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5469827651977539},{"id":"https://openalex.org/C2776985865","wikidata":"https://www.wikidata.org/wiki/Q26820931","display_name":"Reducer","level":2,"score":0.5115243196487427},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5069394707679749},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.42927491664886475},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4257824420928955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3365859091281891},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.232956200838089},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21990564465522766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1352454125881195},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07451131939888},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3385209.3385220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3385209.3385220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Intelligent Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W603723648","https://openalex.org/W2053525776","https://openalex.org/W2753656749","https://openalex.org/W2765921039","https://openalex.org/W2783386318","https://openalex.org/W2786920163","https://openalex.org/W2921368371","https://openalex.org/W2942610608","https://openalex.org/W2945994271","https://openalex.org/W2972033788","https://openalex.org/W2998606243","https://openalex.org/W4311816347"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063","https://openalex.org/W2093666864"],"abstract_inverted_index":{"The":[0,90],"matrix":[1,74,139],"multiplication":[2,75,140],"is":[3,51,133],"the":[4,25,95,115,122,131],"dominant":[5],"of":[6,27,97,117],"many":[7],"business":[8],"applications":[9],"such":[10],"as":[11],"calculate":[12],"profits":[13],"based":[14],"on":[15,61,70,137],"price":[16],"and":[17,37,64,99,119],"quantity":[18],"matrices,":[19],"predict":[20],"various":[21],"weather":[22],"phenomena":[23],"following":[24],"study":[26,68],"Markov":[28],"Chains,":[29],"create":[30],"Similarities":[31],"table":[32],"in":[33,48,79],"a":[34,71,111],"recommendation":[35],"system":[36],"so":[38],"forth.":[39],"Some":[40],"real":[41],"word":[42],"problems,":[43],"matrices":[44,63],"are":[45,58],"very":[46,52],"large":[47],"size":[49],"that":[50,93],"time-consuming":[53],"operation":[54],"even":[55],"though":[56],"there":[57],"execution":[59,104,123],"strategies":[60],"regular":[62],"sparse":[65],"matrices.":[66],"This":[67],"focuses":[69],"recently":[72],"parallel":[73],"approach":[76],"using":[77],"MapReduce":[78],"big":[80],"data":[81],"by":[82],"tuning":[83],"Hadoop":[84],"configuration":[85],"parameters":[86],"to":[87,110],"improve":[88],"performance.":[89],"results":[91],"show":[92],"changing":[94],"number":[96,116],"mappers":[98,118],"reducer":[100],"numbers":[101],"would":[102],"reduce":[103],"time.":[105,141],"However,":[106],"it":[107],"only":[108],"decreases":[109],"certain":[112],"value,":[113],"if":[114],"reducers":[120],"continues,":[121],"time":[124],"does":[125],"not":[126,134],"decrease.":[127],"In":[128],"addition,":[129],"increasing":[130],"DataNode":[132],"much":[135],"impact":[136],"reducing":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}