{"id":"https://openalex.org/W2940818221","doi":"https://doi.org/10.1109/tevc.2019.2912726","title":"Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems","display_name":"Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2940818221","doi":"https://doi.org/10.1109/tevc.2019.2912726","mag":"2940818221"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2019.2912726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2019.2912726","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/8974450/08695766.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/4235/8974450/08695766.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048049588","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-9899-8961"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9899-8961","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605447","display_name":"Huanhuan Chen","orcid":"https://orcid.org/0000-0002-3918-384X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3918-384X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China","School of Computer Science, University of Birmingham, Birmingham, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9386,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78239184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"1","first_page":"157","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9965999722480774,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.992900013923645,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7286767959594727},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.6072158217430115},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5865505933761597},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.5460250377655029},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5336110591888428},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.489762544631958},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.47942298650741577},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.45832550525665283},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.417169451713562},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4012688994407654},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39227819442749023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25237828493118286},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13096129894256592},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11645051836967468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286767959594727},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.6072158217430115},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5865505933761597},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.5460250377655029},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5336110591888428},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.489762544631958},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.47942298650741577},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45832550525665283},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.417169451713562},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4012688994407654},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39227819442749023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25237828493118286},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13096129894256592},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11645051836967468},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2019.2912726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2019.2912726","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/8974450/08695766.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tevc.2019.2912726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2019.2912726","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/8974450/08695766.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1261807904","display_name":null,"funder_award_id":"91846111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1450990713","display_name":"\u7ba1\u7406\u4e0e\u51b3\u7b56\u5927\u6570\u636e\u7684\u6a21\u5f0f\u8bc6\u522b\u4e0e\u654f\u611f\u5185\u5bb9\u6316\u6398\u7814\u7a76","funder_award_id":"91746209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3525752471","display_name":null,"funder_award_id":"617611360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3637990122","display_name":null,"funder_award_id":"ZDSYS201703031748284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G447899654","display_name":null,"funder_award_id":"KQTD2016112514355- 531","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G521923880","display_name":null,"funder_award_id":"KQTD2016112514355531","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5590665447","display_name":null,"funder_award_id":"2017YFC0804002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5703128235","display_name":null,"funder_award_id":"2017YFC0 804002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8435032178","display_name":null,"funder_award_id":"2017ZT07X386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G932316202","display_name":null,"funder_award_id":"2017KSYS008","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2940818221.pdf","grobid_xml":"https://content.openalex.org/works/W2940818221.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1963748537","https://openalex.org/W1970661824","https://openalex.org/W1975874136","https://openalex.org/W1981064269","https://openalex.org/W1988383714","https://openalex.org/W1989261992","https://openalex.org/W1990883510","https://openalex.org/W2000404220","https://openalex.org/W2007491773","https://openalex.org/W2012314824","https://openalex.org/W2013497292","https://openalex.org/W2015598675","https://openalex.org/W2040754088","https://openalex.org/W2047531244","https://openalex.org/W2048859059","https://openalex.org/W2059103612","https://openalex.org/W2081215702","https://openalex.org/W2086069480","https://openalex.org/W2087376002","https://openalex.org/W2090066236","https://openalex.org/W2099934773","https://openalex.org/W2101819517","https://openalex.org/W2104274529","https://openalex.org/W2105447827","https://openalex.org/W2106545286","https://openalex.org/W2106871260","https://openalex.org/W2118154846","https://openalex.org/W2121172217","https://openalex.org/W2124847194","https://openalex.org/W2139560922","https://openalex.org/W2143078383","https://openalex.org/W2144491345","https://openalex.org/W2152325608","https://openalex.org/W2159394089","https://openalex.org/W2166883710","https://openalex.org/W2170186790","https://openalex.org/W2289568068","https://openalex.org/W2318518019","https://openalex.org/W2324812159","https://openalex.org/W2345302610","https://openalex.org/W2489219000","https://openalex.org/W2606778463","https://openalex.org/W2650601600","https://openalex.org/W3145844257","https://openalex.org/W3148113800","https://openalex.org/W4230475281","https://openalex.org/W4235862740","https://openalex.org/W4238332892","https://openalex.org/W6662506334","https://openalex.org/W6662877167","https://openalex.org/W6672069221"],"related_works":["https://openalex.org/W2189025524","https://openalex.org/W2388289950","https://openalex.org/W1988994136","https://openalex.org/W2008643752","https://openalex.org/W2967532063","https://openalex.org/W1972431215","https://openalex.org/W2080975550","https://openalex.org/W2145092870","https://openalex.org/W2009731420","https://openalex.org/W3148775727"],"abstract_inverted_index":{"The":[0,108],"design":[1,45,65,102,144],"space":[2,46,66,79,145],"exploration":[3,117],"(DSE)":[4],"of":[5,80,103,111,146,167,185,198,211,223],"fault-tolerant":[6,105],"multiprocessor":[7,106],"systems":[8],"is":[9,83,118,124,133,202],"very":[10],"complex,":[11],"as":[12,72,161],"it":[13],"contains":[14],"three":[15],"interacting":[16],"NP-hard":[17],"problems:":[18],"1)":[19,115],"task":[20,23,27,32,122,147,150,177,180],"hardening;":[21],"2)":[22,142],"mapping;":[24],"and":[25,90,149,159,179,226],"3)":[26,160],"scheduling.":[28],"In":[29],"addition,":[30],"replication-based":[31],"hardening":[33,148,178],"can":[34,217],"introduce":[35],"new":[36],"tasks,":[37],"called":[38],"replicas,":[39],"into":[40],"the":[41,44,68,77,101,127,138,143,183,191,196,199,221],"system,":[42],"enlarging":[43],"further.":[47],"As":[48],"a":[49,156,162,208],"population-based":[50],"global":[51,165],"optimization":[52],"algorithm,":[53],"evolutionary":[54,128],"algorithms":[55],"(EAs)":[56],"have":[57],"been":[58],"widely":[59],"used":[60],"to":[61,137,164],"explore":[62],"this":[63,75,112],"huge":[64],"over":[67],"last":[69],"decade.":[70],"However,":[71],"analyzed":[73],"in":[74,87],"paper,":[76],"search":[78,166,171],"previous":[81],"works":[82],"highly":[84],"redundant,":[85],"resulting":[86],"poor":[88],"efficiency":[89],"scalability.":[91],"This":[92],"paper":[93,113],"proposes":[94],"an":[95],"efficient":[96],"EA-based":[97],"DSE":[98],"method":[99,201],"for":[100,175],"large-scale":[104],"systems.":[107],"main":[109],"novelties":[110],"include:":[114],"mapping":[116,123,132,151],"explicitly":[119],"separated,":[120],"i.e.,":[121],"optimized":[125],"during":[126],"search,":[129],"while":[130],"replica":[131],"constructed":[134],"heuristically":[135],"according":[136],"current":[139],"co-synthesis":[140],"state;":[141],"are":[152,173],"explored":[153],"independently":[154],"by":[155],"cooperative":[157],"co-EA;":[158],"complement":[163],"EA,":[168],"problem-specific":[169],"local":[170],"operators":[172],"designed":[174],"both":[176],"mapping,":[181],"reducing":[182],"number":[184],"fitness":[186],"evaluations":[187],"required.":[188],"Compared":[189],"with":[190],"most":[192],"relevant":[193],"state-of-the-art":[194],"method,":[195],"superiority":[197],"proposed":[200],"demonstrated":[203],"using":[204],"extensive":[205],"experiments":[206],"on":[207,220],"large":[209],"set":[210],"benchmarks,":[212],"e.g.,":[213],"1.75\u00d7~2.50\u00d7":[214],"better":[215],"results":[216],"be":[218],"obtained":[219],"benchmarks":[222],"300":[224],"tasks":[225],"30":[227],"processors.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}