{"id":"https://openalex.org/W3089593787","doi":"https://doi.org/10.1145/3410463.3414667","title":"Approximate Pattern Matching for On-Chip Interconnect Traffic Prediction","display_name":"Approximate Pattern Matching for On-Chip Interconnect Traffic Prediction","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089593787","doi":"https://doi.org/10.1145/3410463.3414667","mag":"3089593787"},"language":"en","primary_location":{"id":"doi:10.1145/3410463.3414667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410463.3414667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques","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/A5083149379","display_name":"Vignesh Adhinarayanan","orcid":"https://orcid.org/0000-0002-7011-7082"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vignesh Adhinarayanan","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058539554","display_name":"Wu-chun Feng","orcid":"https://orcid.org/0000-0002-6015-0727"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wu-chun Feng","raw_affiliation_strings":["Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083149379"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.6931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67813589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9933000206947327,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9933000206947327,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9905999898910522,"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":0.9800999760627747,"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/interconnection","display_name":"Interconnection","score":0.6545283794403076},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.6427211761474609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6261054277420044},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5219696760177612},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5126189589500427},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4741056561470032},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46874478459358215},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4507578909397125},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.4267827868461609},{"id":"https://openalex.org/keywords/integrated-circuit-design","display_name":"Integrated circuit design","score":0.4179608225822449},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3661414384841919},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3595266342163086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.125238835811615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1123940646648407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08810579776763916},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08064684271812439},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07685434818267822}],"concepts":[{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.6545283794403076},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.6427211761474609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261054277420044},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5219696760177612},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5126189589500427},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4741056561470032},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46874478459358215},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4507578909397125},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.4267827868461609},{"id":"https://openalex.org/C74524168","wikidata":"https://www.wikidata.org/wiki/Q1074539","display_name":"Integrated circuit design","level":2,"score":0.4179608225822449},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3661414384841919},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3595266342163086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.125238835811615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1123940646648407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08810579776763916},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08064684271812439},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07685434818267822},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3410463.3414667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410463.3414667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2154612269"],"related_works":["https://openalex.org/W4382130817","https://openalex.org/W2038859986","https://openalex.org/W2104315811","https://openalex.org/W2142217172","https://openalex.org/W4230312832","https://openalex.org/W1982273910","https://openalex.org/W1929041301","https://openalex.org/W2032882110","https://openalex.org/W2536819812","https://openalex.org/W2118339691"],"abstract_inverted_index":{"Emerging":[0],"multi-chip":[1],"module":[2],"GPUs":[3],"(MCM-GPUs)":[4],"expend":[5],"over":[6],"17%":[7],"of":[8,33],"the":[9,30],"total":[10],"power":[11,31],"budget":[12],"on":[13],"chip":[14,24],"interconnects":[15],"and":[16,59,74,78],"this":[17],"fraction":[18],"is":[19],"expected":[20],"to":[21,41,50,70],"increase":[22],"as":[23,55],"size":[25],"increases.":[26],"Towards":[27],"proactively":[28],"managing":[29],"consumption":[32],"these":[34],"interconnects,":[35],"we":[36],"propose":[37],"approximate":[38],"pattern":[39],"matching":[40],"predict":[42],"future":[43],"interconnect":[44],"traffic":[45],"from":[46,72],"past":[47,51],"observations.":[48],"Compared":[49],"prediction":[52,68],"techniques":[53],"such":[54],"Markov":[56],"model":[57],"(MM)":[58],"history":[60],"table":[61],"(HT),":[62],"our":[63],"proposed":[64],"technique":[65],"reduces":[66],"average":[67],"error":[69],"2.66%":[71],"7.11%":[73],"3.83%":[75],"for":[76],"MM":[77],"HT,":[79],"respectively.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
