{"id":"https://openalex.org/W3187219548","doi":"https://doi.org/10.1108/ijwis-03-2021-0032","title":"Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks","display_name":"Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks","publication_year":2021,"publication_date":"2021-08-05","ids":{"openalex":"https://openalex.org/W3187219548","doi":"https://doi.org/10.1108/ijwis-03-2021-0032","mag":"3187219548"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-03-2021-0032","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2021-0032","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","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/A5037906958","display_name":"Alexander D\u00f6schl","orcid":"https://orcid.org/0000-0003-0625-9921"},"institutions":[{"id":"https://openalex.org/I174004417","display_name":"Munich University of Applied Sciences","ror":"https://ror.org/012k1v959","country_code":"DE","type":"education","lineage":["https://openalex.org/I174004417"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander D\u00f6schl","raw_affiliation_strings":["Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany","institution_ids":["https://openalex.org/I174004417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053515576","display_name":"Max-Emanuel Keller","orcid":"https://orcid.org/0000-0001-7923-3365"},"institutions":[{"id":"https://openalex.org/I174004417","display_name":"Munich University of Applied Sciences","ror":"https://ror.org/012k1v959","country_code":"DE","type":"education","lineage":["https://openalex.org/I174004417"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Max-Emanuel Keller","raw_affiliation_strings":["Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany","institution_ids":["https://openalex.org/I174004417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042685867","display_name":"Peter Mandl","orcid":"https://orcid.org/0000-0003-4508-7667"},"institutions":[{"id":"https://openalex.org/I174004417","display_name":"Munich University of Applied Sciences","ror":"https://ror.org/012k1v959","country_code":"DE","type":"education","lineage":["https://openalex.org/I174004417"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Mandl","raw_affiliation_strings":["Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, HM Hochschule M\u00fcnchen University of Applied Sciences, Munich, Germany","institution_ids":["https://openalex.org/I174004417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174004417"],"apc_list":null,"apc_paid":null,"fwci":0.8315,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78787879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"4","first_page":"377","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8822448253631592},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.8402871489524841},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7851496934890747},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.752524733543396},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7345685958862305},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6034344434738159},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5038456320762634},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.48066818714141846},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.4764010012149811},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4598217308521271},{"id":"https://openalex.org/keywords/computer-cluster","display_name":"Computer cluster","score":0.4574134051799774},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43694907426834106},{"id":"https://openalex.org/keywords/yarn","display_name":"Yarn","score":0.42684322595596313},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41623276472091675},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3719848394393921},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2942221164703369},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.2782110571861267},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08384791016578674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8822448253631592},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.8402871489524841},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7851496934890747},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.752524733543396},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7345685958862305},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6034344434738159},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5038456320762634},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.48066818714141846},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.4764010012149811},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4598217308521271},{"id":"https://openalex.org/C29140674","wikidata":"https://www.wikidata.org/wiki/Q206637","display_name":"Computer cluster","level":2,"score":0.4574134051799774},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43694907426834106},{"id":"https://openalex.org/C2778787235","wikidata":"https://www.wikidata.org/wiki/Q49007","display_name":"Yarn","level":2,"score":0.42684322595596313},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41623276472091675},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3719848394393921},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2942221164703369},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.2782110571861267},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08384791016578674},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-03-2021-0032","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2021-0032","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W2011020535","https://openalex.org/W2016939324","https://openalex.org/W2028499920","https://openalex.org/W2058385539","https://openalex.org/W2131975293","https://openalex.org/W2216541755","https://openalex.org/W2507290484","https://openalex.org/W2612954225","https://openalex.org/W2755227905","https://openalex.org/W2767478150","https://openalex.org/W2782565904","https://openalex.org/W2783921626","https://openalex.org/W2785187918","https://openalex.org/W2913429977","https://openalex.org/W2968599549","https://openalex.org/W3125666216","https://openalex.org/W3138798301","https://openalex.org/W4250981202","https://openalex.org/W4312584427"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W2056717482","https://openalex.org/W2153506571","https://openalex.org/W3104348697","https://openalex.org/W2030707850","https://openalex.org/W2393490604","https://openalex.org/W2375309128","https://openalex.org/W2123689981"],"abstract_inverted_index":{"Purpose":[0],"This":[1,251],"paper":[2,54],"aims":[3],"to":[4,79,156,189,261],"evaluate":[5],"different":[6,213],"approaches":[7,215],"for":[8,46,66,114,123,184,211],"the":[9,85,132,145,160,173,185,190,195,198,212,219,232],"parallelization":[10,214,235],"of":[11,131,162,170,201,221,234,238,246],"compute-intensive":[12],"tasks.":[13,171],"The":[14,53,88,116,129],"study":[15,65],"compares":[16,255],"a":[17,38,56,63,92,109],"Java":[18,93],"multi-threaded":[19,94,196],"algorithm,":[20,95],"distributed":[21,30,96,265],"computing":[22,97],"solutions":[23,71,98,133,203],"with":[24,44,99,112,134,152,242],"MapReduce":[25,100],"(Apache":[26,34,101,105],"Hadoop)":[27,102],"and":[28,37,82,103,108,125,137],"resilient":[29],"data":[31,247],"set":[32],"(RDD)":[33],"Spark)":[35,106],"paradigms":[36,107],"graphics":[39],"processing":[40,146,199,243],"unit":[41],"(GPU)":[42],"approach":[43,111],"Numba":[45,113],"compute":[47],"unified":[48],"device":[49],"architecture":[50],"(CUDA).":[51],"Design/methodology/approach":[52],"uses":[55],"simple":[57],"but":[58],"computationally":[59,263],"intensive":[60,264],"puzzle":[61],"as":[62],"case":[64],"experiments.":[67],"To":[68],"find":[69],"all":[70,202],"using":[72],"brute":[73],"force":[74],"search,":[75],"15!":[76],"permutations":[77],"had":[78],"be":[80],"computed":[81],"tested":[83],"against":[84],"solution":[86],"rules.":[87],"experimental":[89],"application":[90,209],"comprises":[91],"RDD":[104],"GPU":[110],"CUDA.":[115],"implementations":[117],"were":[118],"benchmarked":[119],"on":[120,258],"Amazon-EC2":[121],"instances":[122],"performance":[124,161,233],"scalability":[126],"measurements.":[127],"Findings":[128],"comparison":[130],"Apache":[135,138],"Hadoop":[136],"Spark":[139,153,163,191],"under":[140],"Amazon":[141],"EMR":[142],"showed":[143],"that":[144,229],"time":[147],"measured":[148],"in":[149,253],"CPU":[150],"minutes":[151],"was":[154],"up":[155],"30%":[157],"lower,":[158],"while":[159],"especially":[164],"benefits":[165],"from":[166,194,218],"an":[167],"increasing":[168],"number":[169],"With":[172],"CUDA":[174],"implementation,":[175,197],"more":[176],"than":[177],"16":[178],"times":[179,200],"faster":[180],"execution":[181],"is":[182],"achievable":[183],"same":[186],"price":[187],"compared":[188],"solution.":[192],"Apart":[193],"scale":[204],"approximately":[205],"linearly.":[206],"Finally,":[207],"several":[208],"suggestions":[210],"are":[216,226],"derived":[217],"insights":[220],"this":[222],"study.":[223],"Originality/value":[224],"There":[225],"numerous":[227],"studies":[228,240],"have":[230],"examined":[231],"approaches.":[236],"Most":[237],"these":[239,256],"deal":[241],"large":[244],"amounts":[245],"or":[248],"mathematical":[249],"problems.":[250],"work,":[252],"contrast,":[254],"technologies":[257],"their":[259],"ability":[260],"implement":[262],"algorithms.":[266]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}