{"id":"https://openalex.org/W2743026413","doi":"https://doi.org/10.1587/elex.14.20170769","title":"An efficient energy and thermal-aware mapping for regular network-on-chip","display_name":"An efficient energy and thermal-aware mapping for regular network-on-chip","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2743026413","doi":"https://doi.org/10.1587/elex.14.20170769","mag":"2743026413"},"language":"en","primary_location":{"id":"doi:10.1587/elex.14.20170769","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170769","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/17/14_14.20170769/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/elex/14/17/14_14.20170769/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101556245","display_name":"Changqing Xu","orcid":"https://orcid.org/0000-0002-3827-8820"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changqing Xu","raw_affiliation_strings":["School of Microelectronics, Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003046468","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-4794-862X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["School of Microelectronics, Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039575274","display_name":"Zhangming Zhu","orcid":"https://orcid.org/0000-0002-7764-1928"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangming Zhu","raw_affiliation_strings":["School of Microelectronics, Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402361","display_name":"Yintang Yang","orcid":"https://orcid.org/0000-0001-9745-5404"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YinTang Yang","raw_affiliation_strings":["School of Microelectronics, Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xidian University","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101556245"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.036,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79954716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"17","first_page":"20170769","last_page":"20170769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9883000254631042,"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/energy-consumption","display_name":"Energy consumption","score":0.7014808654785156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6341593265533447},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6254738569259644},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5923815369606018},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5841212868690491},{"id":"https://openalex.org/keywords/energy-balance","display_name":"Energy balance","score":0.5249887704849243},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.52132648229599},{"id":"https://openalex.org/keywords/nanometre","display_name":"Nanometre","score":0.48408496379852295},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.47877633571624756},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4531160295009613},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4483548104763031},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4469812214374542},{"id":"https://openalex.org/keywords/many-core","display_name":"Many core","score":0.4232948422431946},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41990113258361816},{"id":"https://openalex.org/keywords/network-on-a-chip","display_name":"Network on a chip","score":0.41138380765914917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34217774868011475},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2731356620788574},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20208987593650818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1438010036945343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12597399950027466},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08831408619880676},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07278957962989807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06466755270957947}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7014808654785156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341593265533447},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6254738569259644},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5923815369606018},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5841212868690491},{"id":"https://openalex.org/C2777423268","wikidata":"https://www.wikidata.org/wiki/Q3663116","display_name":"Energy balance","level":2,"score":0.5249887704849243},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.52132648229599},{"id":"https://openalex.org/C77066764","wikidata":"https://www.wikidata.org/wiki/Q178674","display_name":"Nanometre","level":2,"score":0.48408496379852295},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.47877633571624756},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4531160295009613},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4483548104763031},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4469812214374542},{"id":"https://openalex.org/C3020431745","wikidata":"https://www.wikidata.org/wiki/Q25325220","display_name":"Many core","level":2,"score":0.4232948422431946},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41990113258361816},{"id":"https://openalex.org/C128519102","wikidata":"https://www.wikidata.org/wiki/Q339554","display_name":"Network on a chip","level":2,"score":0.41138380765914917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34217774868011475},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2731356620788574},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20208987593650818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1438010036945343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12597399950027466},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08831408619880676},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07278957962989807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06466755270957947},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/elex.14.20170769","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170769","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/17/14_14.20170769/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/elex.14.20170769","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170769","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/17/14_14.20170769/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"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/W2743026413.pdf","grobid_xml":"https://content.openalex.org/works/W2743026413.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1975545370","https://openalex.org/W1975908267","https://openalex.org/W1981222294","https://openalex.org/W2004138854","https://openalex.org/W2005756498","https://openalex.org/W2022673945","https://openalex.org/W2081612546","https://openalex.org/W2103066735","https://openalex.org/W2129960401","https://openalex.org/W2136181851","https://openalex.org/W2142386205","https://openalex.org/W2155759572","https://openalex.org/W2161502197","https://openalex.org/W2217311036","https://openalex.org/W2326709068","https://openalex.org/W2415438488","https://openalex.org/W2465608688","https://openalex.org/W2482317766","https://openalex.org/W2515625540","https://openalex.org/W4250661686","https://openalex.org/W4252689830"],"related_works":["https://openalex.org/W2378207389","https://openalex.org/W2390975623","https://openalex.org/W2392110728","https://openalex.org/W2373057837","https://openalex.org/W2373401521","https://openalex.org/W2364270094","https://openalex.org/W2358497372","https://openalex.org/W2000192708","https://openalex.org/W2067511169","https://openalex.org/W2743026413"],"abstract_inverted_index":{"Chip":[0],"temperature":[1,34,105],"and":[2,27,35,71,80,99,112],"energy":[3,36,97,116],"consumption":[4,37,98,117],"become":[5],"one":[6],"of":[7,25,63],"the":[8,33,52,61,103,115],"most":[9],"critical":[10],"design":[11],"issues":[12],"with":[13,22],"technology":[14],"scaling":[15],"to":[16,67,109],"nanometre-scale,":[17],"especially":[18],"for":[19],"NoC":[20,47],"systems":[21],"large":[23],"number":[24],"cores":[26],"shrunken":[28],"core":[29,62],"size.":[30],"To":[31],"balance":[32,95],"on":[38,56],"NoC-based":[39],"multi-cores":[40],"system,":[41],"this":[42,64],"paper":[43],"proposes":[44],"an":[45],"efficient":[46],"mapping":[48,89],"approach":[49,90],"in":[50],"which":[51,101],"hyper-heuristic":[53],"algorithm":[54,70],"based":[55],"genetic":[57,72],"operators":[58],"(HAGO)":[59],"is":[60],"approach.":[65],"Compared":[66],"simulated":[68],"annealing":[69],"algorithm,":[73],"HAGO":[74],"demonstrates":[75],"a":[76,93],"faster":[77],"convergence":[78],"speed":[79],"excellent":[81],"stability.":[82],"Experimental":[83],"results":[84],"show":[85],"that":[86],"our":[87],"proposed":[88],"can":[91],"make":[92],"better":[94],"between":[96],"temperature,":[100],"reduces":[102],"peak":[104],"from":[106],"365.2":[107],"K":[108,111],"352":[110],"only":[113],"increases":[114],"by":[118],"1.12%.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}