{"id":"https://openalex.org/W2289632169","doi":"https://doi.org/10.1109/socc.2015.7406979","title":"A high speed and low power content-addressable memory(CAM) using pipelined scheme","display_name":"A high speed and low power content-addressable memory(CAM) using pipelined scheme","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2289632169","doi":"https://doi.org/10.1109/socc.2015.7406979","mag":"2289632169"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2015.7406979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2015.7406979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 28th IEEE International System-on-Chip Conference (SOCC)","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/A5007164230","display_name":"Shixiong Jiang","orcid":"https://orcid.org/0000-0001-9374-6458"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shixiong Jiang","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112124434","display_name":"Pengzhan Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengzhan Yan","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108456717","display_name":"Ramalingam Sridhar","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramalingam Sridhar","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, Buffalo, New Yorks","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.3295,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63407894,"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":"345","last_page":"349"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9807999730110168,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.967199981212616,"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":0.7909029126167297},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7076365947723389},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.6265790462493896},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6220080852508545},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.568244993686676},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5426130890846252},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.536920428276062},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.5137249231338501},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4858133792877197},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48153525590896606},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45370927453041077},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45161086320877075},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4263523817062378},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32088199257850647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1739669144153595},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11715635657310486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909029126167297},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7076365947723389},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.6265790462493896},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6220080852508545},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.568244993686676},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5426130890846252},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.536920428276062},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.5137249231338501},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4858133792877197},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48153525590896606},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45370927453041077},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45161086320877075},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4263523817062378},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32088199257850647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1739669144153595},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11715635657310486},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2015.7406979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2015.7406979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 28th IEEE International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2000119008","https://openalex.org/W2043493229","https://openalex.org/W2055611966","https://openalex.org/W2062143991","https://openalex.org/W2102064395","https://openalex.org/W2103664004","https://openalex.org/W2106867391","https://openalex.org/W2119023272","https://openalex.org/W2149055332","https://openalex.org/W2151811992","https://openalex.org/W3103704822"],"related_works":["https://openalex.org/W2159099865","https://openalex.org/W1989420504","https://openalex.org/W2125477157","https://openalex.org/W4321273133","https://openalex.org/W3103704822","https://openalex.org/W2093404141","https://openalex.org/W2109692706","https://openalex.org/W2771357549","https://openalex.org/W2050720944","https://openalex.org/W2041845676"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"technique":[5,25,70],"to":[6,19,27,72,90,105],"design":[7],"high":[8],"performance":[9],"Content-addressable":[10],"memories(CAMs),":[11],"with":[12],"lower":[13],"power":[14,63,92],"and":[15,97],"latency":[16],"as":[17,103],"compared":[18,104],"other":[20],"similar":[21],"structures.":[22],"The":[23,68,84],"first":[24],"is":[26,45,65,71],"pipeline":[28],"the":[29,59,62,74],"search":[30,80],"operation":[31,36],"by":[32,57,77],"distributing":[33],"single":[34],"matching":[35],"into":[37],"several":[38],"segments":[39],"for":[40],"different":[41],"search-line":[42,50],"registers.":[43],"Speed":[44],"improved":[46],"significantly":[47],"since":[48],"four":[49],"registers":[51,82],"are":[52],"comparing":[53],"in":[54],"parallel.":[55],"Meanwhile,":[56],"disabling":[58],"subsequent":[60],"segments,":[61],"consumption":[64],"also":[66],"reduced.":[67],"second":[69],"improve":[73],"speed":[75],"further":[76],"using":[78],"multi-bank":[79],"data":[81],"structure.":[83],"experimental":[85],"results":[86],"show":[87],"that":[88],"up":[89],"37.32%":[91],"savings":[93],"can":[94,100],"be":[95,101],"obtained":[96],"90.79%":[98],"time":[99],"shrieked":[102],"conventional":[106],"NOR-type":[107],"CAM":[108],"design.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
