{"id":"https://openalex.org/W7119062691","doi":"https://doi.org/10.1007/s42514-025-00236-z","title":"Review and analysis of performance prediction methods and tools for heterogeneous parallel programs","display_name":"Review and analysis of performance prediction methods and tools for heterogeneous parallel programs","publication_year":2026,"publication_date":"2026-01-07","ids":{"openalex":"https://openalex.org/W7119062691","doi":"https://doi.org/10.1007/s42514-025-00236-z"},"language":"en","primary_location":{"id":"doi:10.1007/s42514-025-00236-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42514-025-00236-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42514-025-00236-z.pdf","source":{"id":"https://openalex.org/S4210190911","display_name":"CCF Transactions on High Performance Computing","issn_l":"2524-4922","issn":["2524-4922","2524-4930"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on High Performance Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42514-025-00236-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Beibei Gu","orcid":"https://orcid.org/0009-0008-7715-8507"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beibei Gu","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-7715-8507","affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069766052","display_name":"Lian Zhao","orcid":"https://orcid.org/0000-0002-7451-1474"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Zhao","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369772","display_name":"Chen Li","orcid":"https://orcid.org/0000-0001-7244-3458"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122247690","display_name":"Xuebin Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebin Chi","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210108629","https://openalex.org/I4210165038"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02522231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"3","first_page":"331","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.41359999775886536,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.41359999775886536,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.3521000146865845,"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/T12127","display_name":"Software System Performance and Reliability","score":0.08550000190734863,"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/performance-prediction","display_name":"Performance prediction","score":0.5486000180244446},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5422999858856201},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5090000033378601},{"id":"https://openalex.org/keywords/symmetric-multiprocessor-system","display_name":"Symmetric multiprocessor system","score":0.37220001220703125},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.34769999980926514},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3370000123977661},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.33180001378059387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385000228881836},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46650001406669617},{"id":"https://openalex.org/C172430144","wikidata":"https://www.wikidata.org/wiki/Q17111997","display_name":"Symmetric multiprocessor system","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3650999963283539},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C108094655","wikidata":"https://www.wikidata.org/wiki/Q181593","display_name":"Sorting algorithm","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2777138346","wikidata":"https://www.wikidata.org/wiki/Q1714153","display_name":"Performance tuning","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42514-025-00236-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42514-025-00236-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42514-025-00236-z.pdf","source":{"id":"https://openalex.org/S4210190911","display_name":"CCF Transactions on High Performance Computing","issn_l":"2524-4922","issn":["2524-4922","2524-4930"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on High Performance Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42514-025-00236-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42514-025-00236-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42514-025-00236-z.pdf","source":{"id":"https://openalex.org/S4210190911","display_name":"CCF Transactions on High Performance Computing","issn_l":"2524-4922","issn":["2524-4922","2524-4930"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on High Performance Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8070347937","display_name":null,"funder_award_id":"62372428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7119062691.pdf","grobid_xml":"https://content.openalex.org/works/W7119062691.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1495002213","https://openalex.org/W1588619409","https://openalex.org/W1966629366","https://openalex.org/W1977230955","https://openalex.org/W1977901491","https://openalex.org/W1983545421","https://openalex.org/W1987786739","https://openalex.org/W2001746447","https://openalex.org/W2006846907","https://openalex.org/W2025983224","https://openalex.org/W2029023406","https://openalex.org/W2030553163","https://openalex.org/W2042120213","https://openalex.org/W2053341340","https://openalex.org/W2062011830","https://openalex.org/W2077828271","https://openalex.org/W2085396047","https://openalex.org/W2102061396","https://openalex.org/W2107158148","https://openalex.org/W2107749816","https://openalex.org/W2108177987","https://openalex.org/W2114903362","https://openalex.org/W2119078084","https://openalex.org/W2123613327","https://openalex.org/W2127746706","https://openalex.org/W2136492259","https://openalex.org/W2139250332","https://openalex.org/W2147598193","https://openalex.org/W2150881394","https://openalex.org/W2156697773","https://openalex.org/W2157108859","https://openalex.org/W2159508029","https://openalex.org/W2293735149","https://openalex.org/W2410622284","https://openalex.org/W2533204039","https://openalex.org/W2561672146","https://openalex.org/W2756568380","https://openalex.org/W2767224631","https://openalex.org/W2793620464","https://openalex.org/W2806122766","https://openalex.org/W2885584382","https://openalex.org/W2954342955","https://openalex.org/W2963353094","https://openalex.org/W2964281761","https://openalex.org/W2999925821","https://openalex.org/W3086486836","https://openalex.org/W4231684867","https://openalex.org/W4233184216","https://openalex.org/W4243412784","https://openalex.org/W4244437568","https://openalex.org/W4245845567","https://openalex.org/W4254027745","https://openalex.org/W4255653477"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"With":[1],"the":[2,46,59,88,104,125,165,217],"increasing":[3],"number":[4],"of":[5,61,91,169,180,221],"computationally":[6],"intensive":[7],"applications,":[8],"heterogeneous":[9,56,97,136,225],"systems":[10],"have":[11,150,162],"become":[12,36],"an":[13,37],"important":[14],"solution":[15],"for":[16,50,74,191],"improving":[17],"computing":[18],"performance.":[19],"In":[20],"order":[21],"to":[22,43,130,174,214],"effectively":[23],"develop":[24],"and":[25,48,68,72,76,99,102,116,127,148,158,167,188,199,210,219],"optimize":[26],"parallel":[27,52,92,132,170,222],"programs":[28,223],"running":[29],"on":[30],"these":[31],"systems,":[32,57,98],"performance":[33,54,94,107,134,145,172,192],"prediction":[34,95,108,146,173,212],"has":[35],"indispensable":[38],"part.":[39],"This":[40,78,121],"article":[41,79,122,182],"aims":[42],"comprehensively":[44],"review":[45,83,179],"methods":[47,147,187,213],"tools":[49,126,149,189],"predicting":[51],"program":[53,93,133,171],"in":[55,96,135,154,224],"analyze":[58],"characteristics":[60],"existing":[62],"technologies,":[63],"explore":[64,206],"their":[65,151],"development":[66,218],"trends,":[67],"provide":[69],"valuable":[70],"references":[71],"guidance":[73],"researchers":[75],"developers.":[77],"adopts":[80],"a":[81,175],"systematic":[82],"method,":[84],"first":[85],"sorting":[86],"out":[87],"research":[89,203],"process":[90],"then":[100],"classifying":[101],"summarizing":[103],"current":[105],"mainstream":[106],"methods,":[109],"including":[110],"analysis":[111],"model-based":[112],"prediction,":[113,115,193],"simulation-based":[114],"machine":[117],"learning":[118],"based":[119],"prediction.":[120],"also":[123],"summarizes":[124],"platforms":[128],"used":[129],"predict":[131],"systems.":[137,226],"Through":[138],"review,":[139],"it":[140],"was":[141],"found":[142],"that":[143,184],"various":[144,186],"own":[152],"advantages":[153],"feature":[155],"richness,":[156],"availability,":[157],"accuracy,":[159],"but":[160],"they":[161],"all":[163],"improved":[164],"efficiency":[166],"accuracy":[168],"certain":[176],"extent.":[177],"The":[178],"this":[181],"indicates":[183],"despite":[185],"available":[190],"there":[194],"are":[195],"still":[196],"many":[197],"challenges":[198],"unresolved":[200],"issues.":[201],"Future":[202],"should":[204],"further":[205],"more":[207],"accurate,":[208],"efficient":[209],"intelligent":[211],"better":[215],"support":[216],"optimization":[220]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-01-08T00:00:00"}
