{"id":"https://openalex.org/W2370861011","doi":"https://doi.org/10.1145/2902961.2902968","title":"Trellis-search based Dynamic Multi-Path Connection Allocation for TDM-NoCs","display_name":"Trellis-search based Dynamic Multi-Path Connection Allocation for TDM-NoCs","publication_year":2016,"publication_date":"2016-05-13","ids":{"openalex":"https://openalex.org/W2370861011","doi":"https://doi.org/10.1145/2902961.2902968","mag":"2370861011"},"language":"en","primary_location":{"id":"doi:10.1145/2902961.2902968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2902961.2902968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th edition on Great Lakes Symposium on VLSI","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/A5077521546","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-9961-9051"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Dresden University of Technology, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Dresden University of Technology, Dresden, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060536506","display_name":"Emil Mat\u00fa\u0161","orcid":"https://orcid.org/0000-0002-2150-7201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emil Matus","raw_affiliation_strings":["Dresden University of Technology, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Dresden University of Technology, Dresden, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022117288","display_name":"Gerhard Fettweis","orcid":"https://orcid.org/0000-0003-4622-1311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerhard P. Fettweis","raw_affiliation_strings":["Dresden University of Technology, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Dresden University of Technology, Dresden, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077521546"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7372,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85853639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":1.0,"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":1.0,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9987000226974487,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930991649627686},{"id":"https://openalex.org/keywords/trellis","display_name":"Trellis (graph)","score":0.6098089814186096},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5816769599914551},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.522217869758606},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.46392473578453064},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4209710359573364},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3848751187324524},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3214683532714844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20306828618049622},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.17530769109725952},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12143656611442566},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10543942451477051}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930991649627686},{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.6098089814186096},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5816769599914551},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.522217869758606},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.46392473578453064},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4209710359573364},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3848751187324524},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3214683532714844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20306828618049622},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.17530769109725952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12143656611442566},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10543942451477051},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2902961.2902968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2902961.2902968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th edition on Great Lakes Symposium on VLSI","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":15,"referenced_works":["https://openalex.org/W1508757285","https://openalex.org/W1966707968","https://openalex.org/W1999309919","https://openalex.org/W2012959791","https://openalex.org/W2027226719","https://openalex.org/W2044764132","https://openalex.org/W2120242077","https://openalex.org/W2120538858","https://openalex.org/W2123437866","https://openalex.org/W2131939151","https://openalex.org/W2147332904","https://openalex.org/W2170815072","https://openalex.org/W2444333404","https://openalex.org/W2548209754","https://openalex.org/W2975487723"],"related_works":["https://openalex.org/W2614896695","https://openalex.org/W2031125189","https://openalex.org/W4285195826","https://openalex.org/W2364605271","https://openalex.org/W2247533527","https://openalex.org/W4292200770","https://openalex.org/W2499973849","https://openalex.org/W2390235546","https://openalex.org/W2954284861","https://openalex.org/W3036465205"],"abstract_inverted_index":{"This":[0],"paper":[1,43],"proposes":[2],"a":[3],"centralized":[4],"approach":[5],"for":[6,9],"connection":[7,57],"allocation":[8,58,72],"TDM-based":[10],"NoCs":[11],"by":[12],"making":[13],"use":[14],"of":[15],"dedicated":[16],"hardware":[17,68],"unit":[18],"called":[19],"NoCManager":[20,86],"that":[21],"employs":[22],"trellis-based":[23],"search":[24,39,82],"algorithm":[25],"enabling":[26],"dynamic":[27],"parallel":[28,80],"multi-path,":[29],"multi-slot":[30],"allocation.":[31],"Be":[32],"different":[33],"to":[34,49,79],"the":[35,44,60,64],"previous":[36,55],"unrolled":[37],"trellis":[38],"algorithm,":[40],"in":[41],"this":[42],"folded":[45],"architecture":[46],"is":[47],"employed":[48],"achieve":[50],"efficiency.":[51],"In":[52],"comparison":[53],"with":[54],"TDM":[56],"methods,":[59],"proposed":[61],"design":[62],"has":[63],"following":[65],"advantages:":[66],"(1)":[67],"supported":[69],"low-latency,":[70],"high-throughput":[71],"mechanism,":[73],"(2)":[74],"improved":[75],"success":[76],"rate":[77],"due":[78],"multi-path":[81],"and":[83],"(3)":[84],"efficient":[85],"architecture.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
