{"id":"https://openalex.org/W2106867391","doi":"https://doi.org/10.1109/tvlsi.2008.2000595","title":"Hybrid-Type CAM Design for Both Power and Performance Efficiency","display_name":"Hybrid-Type CAM Design for Both Power and Performance Efficiency","publication_year":2008,"publication_date":"2008-07-29","ids":{"openalex":"https://openalex.org/W2106867391","doi":"https://doi.org/10.1109/tvlsi.2008.2000595","mag":"2106867391"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2008.2000595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2008.2000595","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5110844364","display_name":"Yen-Jen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yen-Jen Chang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","Dept. of Comput. Sci. & Eng., Nat. ChungHsing Univ., Taichung"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Nat. ChungHsing Univ., Taichung","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053463025","display_name":"Yuan-Hong Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Hong Liao","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","Dept. of Comput. Sci. & Eng., Nat. ChungHsing Univ., Taichung"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Nat. ChungHsing Univ., Taichung","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110844364"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":3.4661,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.92879402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"8","first_page":"965","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9973000288009644,"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":0.996399998664856,"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":0.6040089130401611},{"id":"https://openalex.org/keywords/nand-gate","display_name":"NAND gate","score":0.5384947657585144},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5300502777099609},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.4828351140022278},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4588932991027832},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.44743508100509644},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.43200254440307617},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.43107378482818604},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41652777791023254},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33948153257369995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26044750213623047},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.2580755352973938},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2559657692909241},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.18639138340950012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16236084699630737},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10108682513237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040089130401611},{"id":"https://openalex.org/C124296912","wikidata":"https://www.wikidata.org/wiki/Q575178","display_name":"NAND gate","level":3,"score":0.5384947657585144},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5300502777099609},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.4828351140022278},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4588932991027832},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.44743508100509644},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.43200254440307617},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.43107378482818604},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41652777791023254},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33948153257369995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26044750213623047},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2580755352973938},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2559657692909241},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.18639138340950012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16236084699630737},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10108682513237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2008.2000595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2008.2000595","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1646419119","https://openalex.org/W1982231668","https://openalex.org/W1997117014","https://openalex.org/W2010620141","https://openalex.org/W2043493229","https://openalex.org/W2062143991","https://openalex.org/W2078732484","https://openalex.org/W2129440239","https://openalex.org/W2152621759","https://openalex.org/W2161573394","https://openalex.org/W2170876797","https://openalex.org/W6637128988"],"related_works":["https://openalex.org/W2385875016","https://openalex.org/W2072593933","https://openalex.org/W2376165157","https://openalex.org/W2800677231","https://openalex.org/W2289495474","https://openalex.org/W2622975717","https://openalex.org/W2082018612","https://openalex.org/W2526548852","https://openalex.org/W2116651186","https://openalex.org/W2350469736"],"abstract_inverted_index":{"Content-addressable":[0],"memory":[1],"(CAM)":[2],"is":[3,43,78,161],"a":[4,27,49,75,143],"hardware":[5],"table":[6],"that":[7,119,165],"can":[8,107,123],"compare":[9],"the":[10,15,22,38,57,61,65,69,86,92,98,110,120,125,134,139,150,155,167],"search":[11,126,156],"data":[12,17],"with":[13,64],"all":[14,85],"stored":[16],"in":[18],"parallel.":[19],"Due":[20],"to":[21,55,133,147],"parallel":[23],"comparison":[24],"feature":[25],"where":[26],"large":[28],"amount":[29],"of":[30,41,60,68,113,158,166],"transistors":[31],"are":[32,89],"active":[33],"on":[34],"each":[35],"lookup,":[36],"however,":[37],"power":[39,66,111],"consumption":[40,112,128],"CAM":[42,51,63,76,87,122,141],"usually":[44],"considerable.":[45],"This":[46],"paper":[47],"presents":[48],"hybrid-type":[50,121,140],"design":[52,106,160],"which":[53],"aims":[54],"combine":[56],"performance":[58,157],"advantage":[59],"NOR-type":[62,136,169],"efficiency":[67],"NAND-type":[70],"CAM.":[71,114,137,170],"In":[72],"our":[73,105,159],"design,":[74],"word":[77],"divided":[79],"into":[80],"two":[81],"segments,":[82],"and":[83,102],"then":[84],"cells":[88],"decoupled":[90],"from":[91],"match":[93,99,152],"line.":[94],"By":[95],"minimizing":[96],"both":[97],"line":[100,153],"capacitances":[101],"switching":[103],"activities,":[104],"largely":[108],"reduce":[109,124],"The":[115],"experimental":[116],"results":[117],"show":[118],"energy":[127],"by":[129],"roughly":[130],"89%":[131],"compared":[132],"traditional":[135,168],"Because":[138],"provides":[142],"fast":[144],"pull-down":[145],"path":[146],"speed":[148],"up":[149],"lightweight":[151],"discharge,":[154],"even":[162],"better":[163],"than":[164]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
