{"id":"https://openalex.org/W2963924987","doi":"https://doi.org/10.1109/nocs.2016.7579336","title":"Constructing large-scale low-latency network from small optimal networks","display_name":"Constructing large-scale low-latency network from small optimal networks","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2963924987","doi":"https://doi.org/10.1109/nocs.2016.7579336","mag":"2963924987"},"language":"en","primary_location":{"id":"doi:10.1109/nocs.2016.7579336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nocs.2016.7579336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Tenth IEEE/ACM International Symposium on Networks-on-Chip (NOCS)","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/A5035408201","display_name":"Ryosuke Mizuno","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryosuke Mizuno","raw_affiliation_strings":["Department of Physics Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Physics Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025342980","display_name":"Yawara Ishida","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yawara Ishida","raw_affiliation_strings":["Research Institute for Mathematical Science Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Research Institute for Mathematical Science Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035408201"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":2.0672,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89324372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10374","display_name":"Advanced Graph Theory Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6275389194488525},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5115700364112854},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5038127303123474},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48277416825294495},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.44598639011383057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35926535725593567},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3336111307144165},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1530667543411255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6275389194488525},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5115700364112854},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5038127303123474},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48277416825294495},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.44598639011383057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35926535725593567},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3336111307144165},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1530667543411255},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nocs.2016.7579336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nocs.2016.7579336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Tenth IEEE/ACM International Symposium on Networks-on-Chip (NOCS)","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":14,"referenced_works":["https://openalex.org/W187504211","https://openalex.org/W1529108889","https://openalex.org/W1981159511","https://openalex.org/W2009852526","https://openalex.org/W2019338982","https://openalex.org/W2066462456","https://openalex.org/W2099162650","https://openalex.org/W2167990241","https://openalex.org/W2212629603","https://openalex.org/W2592570088","https://openalex.org/W6631868311","https://openalex.org/W6685018546","https://openalex.org/W6688625763","https://openalex.org/W6734199282"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"The":[0,80,117],"construction":[1],"of":[2,11,56,98,119,129,138,146,178,190,216,224],"large-scale,":[3],"low-latency":[4,120],"networks":[5,36,46,75,85,121],"becomes":[6],"difficult":[7],"as":[8,107,125],"the":[9,16,54,84,96,176,201,206,211,217,220],"number":[10,137,145],"nodes":[12,139],"increases.":[13],"In":[14,153],"general,":[15],"way":[17],"to":[18,43,63,76,159],"construct":[19,34,44,77,160],"a":[20,108,112,126,135,143,188],"theoretically":[21],"optimal":[22,48,164],"solution":[23],"is":[24,28,42,67,82,111,219],"unknown.":[25],"However,":[26],"it":[27],"known":[29,74],"that":[30,68,83],"some":[31],"methods":[32],"can":[33,70,104,122],"suboptimal":[35,50,166],"with":[37,134],"low-latency.":[38],"One":[39,66],"such":[40],"method":[41,89],"large-scale":[45,78],"from":[47,115,163],"or":[49,165],"small":[51,131,167],"networks,":[52],"using":[53,170],"product":[55],"graphs.":[57],"There":[58],"are":[59],"two":[60],"major":[61],"advantages":[62],"this":[64,88,154],"method.":[65],"we":[69,156,186],"reuse":[71],"small,":[72],"already":[73],"networks.":[79],"other":[81],"obtained":[86],"by":[87,169],"have":[90],"graph":[91,189,218],"theoretical":[92],"symmetry,":[93],"which":[94,110,198],"reduces":[95],"overhead":[97],"communication":[99],"between":[100,148],"nodes.":[101],"A":[102],"network":[103],"be":[105,123],"viewed":[106],"\"graph\",":[109],"mathematical":[113,127],"term":[114],"combinatorics.":[116],"design":[118],"treated":[124],"problem":[128],"finding":[130],"diameter":[132,179,196],"graphs":[133,162,168,223],"given":[136,144],"(called":[140,151],"\"order\")":[141],"and":[142,195,227],"connections":[147],"each":[149],"node":[150],"\"degree\").":[152],"paper,":[155],"overview":[157],"how":[158],"large":[161],"graph-theoretical":[171],"products.":[172],"We":[173],"focus":[174],"on":[175],"case":[177],"2":[180],"in":[181,222],"particular.":[182],"As":[183],"an":[184],"example,":[185],"introduce":[187],"order":[191,225],"256,":[192],"degree":[193,228],"22":[194],"2,":[197],"granted":[199],"us":[200],"Deepest":[202],"Improvement":[203],"Award":[204],"at":[205],"\"Graph":[207],"Golf\"":[208],"competition.":[209],"Moreover,":[210],"average":[212],"shortest":[213],"path":[214],"length":[215],"smallest":[221],"256":[226],"22.":[229]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}