{"id":"https://openalex.org/W2164939341","doi":"https://doi.org/10.1145/2463209.2488801","title":"Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks","display_name":"Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks","publication_year":2013,"publication_date":"2013-05-28","ids":{"openalex":"https://openalex.org/W2164939341","doi":"https://doi.org/10.1145/2463209.2488801","mag":"2164939341"},"language":"en","primary_location":{"id":"doi:10.1145/2463209.2488801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463209.2488801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual Design Automation Conference","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/A5049740452","display_name":"Naoya Onizawa","orcid":"https://orcid.org/0000-0002-4855-7081"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Naoya Onizawa","raw_affiliation_strings":["McGill University Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091600002","display_name":"Warren J. Gross","orcid":"https://orcid.org/0000-0002-6226-6037"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Warren J. Gross","raw_affiliation_strings":["McGill University Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049740452"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.3152,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63592536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9361000061035156,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.933899998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7822280526161194},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6064774990081787},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5170179605484009},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.5150856375694275},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4900437593460083},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4862881600856781},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.48384180665016174},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4803253710269928},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4624393880367279},{"id":"https://openalex.org/keywords/memory-architecture","display_name":"Memory architecture","score":0.4375648498535156},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4297502338886261},{"id":"https://openalex.org/keywords/dissipation","display_name":"Dissipation","score":0.41890838742256165},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.402111679315567},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3488145172595978},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.12913456559181213},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10197681188583374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10019916296005249},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0842447578907013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822280526161194},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6064774990081787},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5170179605484009},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.5150856375694275},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4900437593460083},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4862881600856781},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.48384180665016174},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4803253710269928},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4624393880367279},{"id":"https://openalex.org/C2779602883","wikidata":"https://www.wikidata.org/wiki/Q15544750","display_name":"Memory architecture","level":2,"score":0.4375648498535156},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4297502338886261},{"id":"https://openalex.org/C135402231","wikidata":"https://www.wikidata.org/wiki/Q898440","display_name":"Dissipation","level":2,"score":0.41890838742256165},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.402111679315567},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3488145172595978},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12913456559181213},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10197681188583374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10019916296005249},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0842447578907013},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463209.2488801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463209.2488801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7900000214576721,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1971458779","https://openalex.org/W1977602574","https://openalex.org/W1999064874","https://openalex.org/W2008749436","https://openalex.org/W2062143991","https://openalex.org/W2083602826","https://openalex.org/W2110850401","https://openalex.org/W2117207900","https://openalex.org/W2121160181","https://openalex.org/W2128084896","https://openalex.org/W2142269587","https://openalex.org/W2149949040","https://openalex.org/W2153246888","https://openalex.org/W2232837659","https://openalex.org/W3139942419"],"related_works":["https://openalex.org/W1989420504","https://openalex.org/W2125477157","https://openalex.org/W4321273133","https://openalex.org/W2093404141","https://openalex.org/W3103704822","https://openalex.org/W2282934097","https://openalex.org/W2047264287","https://openalex.org/W2104200744","https://openalex.org/W2165082655","https://openalex.org/W2769783699"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,44,51,90],"novel":[3],"architecture":[4,14],"for":[5],"low-power":[6],"area-efficient":[7],"large-scale":[8],"IP":[9,23],"lookup":[10],"engines.":[11],"The":[12,35,59,74],"proposed":[13,60,83],"greatly":[15],"increases":[16],"memory":[17],"efficiency":[18],"by":[19,40],"storing":[20,31],"associations":[21,46],"between":[22],"addresses":[24,56],"and":[25,78,87],"their":[26],"output":[27],"rules":[28,36],"instead":[29],"of":[30,54,81,89],"these":[32],"data":[33],"themselves.":[34],"can":[37],"be":[38],"determined":[39],"simple":[41],"hardware":[42,61,84],"using":[43],"few":[45],"read":[47],"from":[48],"SRAMs,":[49],"eliminating":[50],"power-hungry":[52],"search":[53],"input":[55],"in":[57],"TCAMs.":[58],"that":[62],"stores":[63],"100,000":[64],"144-bit":[65],"entries":[66],"is":[67],"evaluated":[68],"under":[69],"TSMC":[70],"65nm":[71],"CMOS":[72],"technology.":[73],"dynamic":[75],"power":[76],"dissipation":[77],"the":[79,82],"area":[80],"are":[85],"4.6%":[86],"30.6%":[88],"traditional":[91],"TCAM,":[92],"respectively":[93],"while":[94],"maintaining":[95],"comparable":[96],"throughput.":[97]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
