{"id":"https://openalex.org/W2766235884","doi":"https://doi.org/10.1109/jssc.2017.2739178","title":"1.4Gsearch/s 2-Mb/mm<sup>2</sup> TCAM Using Two-Phase-Pre-Charge ML Sensing and Power-Grid Pre-Conditioning to Reduce &lt;italic&gt;Ldi/dt&lt;/italic&gt; Power-Supply Noise by 50%","display_name":"1.4Gsearch/s 2-Mb/mm<sup>2</sup> TCAM Using Two-Phase-Pre-Charge ML Sensing and Power-Grid Pre-Conditioning to Reduce &lt;italic&gt;Ldi/dt&lt;/italic&gt; Power-Supply Noise by 50%","publication_year":2017,"publication_date":"2017-10-23","ids":{"openalex":"https://openalex.org/W2766235884","doi":"https://doi.org/10.1109/jssc.2017.2739178","mag":"2766235884"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2017.2739178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2017.2739178","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","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/A5039528959","display_name":"Igor Arsovski","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Igor Arsovski","raw_affiliation_strings":["GLOBALFOUNDRIES, Essex Junction, VT, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Essex Junction, VT, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059792932","display_name":"Akhilesh Patil","orcid":"https://orcid.org/0000-0001-9029-6287"},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akhilesh Patil","raw_affiliation_strings":["GLOBALFOUNDRIES, Essex Junction, VT, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Essex Junction, VT, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036762140","display_name":"R. Houle","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert M. Houle","raw_affiliation_strings":["GLOBALFOUNDRIES, Essex Junction, VT, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Essex Junction, VT, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061083306","display_name":"Michael Fragano","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael T. Fragano","raw_affiliation_strings":["GLOBALFOUNDRIES, Essex Junction, VT, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Essex Junction, VT, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055172790","display_name":"Ramon Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramon Rodriguez","raw_affiliation_strings":["GLOBALFOUNDRIES, Essex Junction, VT, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Essex Junction, VT, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386561","display_name":"Raymond Kim","orcid":"https://orcid.org/0000-0002-7580-8640"},"institutions":[{"id":"https://openalex.org/I35662394","display_name":"GlobalFoundries (United States)","ror":"https://ror.org/02h0ps145","country_code":"US","type":"company","lineage":["https://openalex.org/I35662394"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Kim","raw_affiliation_strings":["GLOBALFOUNDRIES, Endicott, NY, USA"],"affiliations":[{"raw_affiliation_string":"GLOBALFOUNDRIES, Endicott, NY, USA","institution_ids":["https://openalex.org/I35662394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032262829","display_name":"Van Butler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Butler","raw_affiliation_strings":["Green Mountain Semiconductor, Burlington, VT, USA"],"affiliations":[{"raw_affiliation_string":"Green Mountain Semiconductor, Burlington, VT, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039528959"],"corresponding_institution_ids":["https://openalex.org/I35662394"],"apc_list":null,"apc_paid":null,"fwci":2.6189,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.90647116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"1","first_page":"155","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9991999864578247,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9954000115394592,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9847000241279602,"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/noise","display_name":"Noise (video)","score":0.6902787685394287},{"id":"https://openalex.org/keywords/ternary-operation","display_name":"Ternary operation","score":0.5071349143981934},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.4449974000453949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43093812465667725},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41725316643714905},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.411379873752594},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.399656742811203},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3251349925994873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23480704426765442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13178348541259766},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07811012864112854}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6902787685394287},{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.5071349143981934},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.4449974000453949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43093812465667725},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41725316643714905},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.411379873752594},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.399656742811203},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3251349925994873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23480704426765442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13178348541259766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07811012864112854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2017.2739178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2017.2739178","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1590455533","https://openalex.org/W1968310982","https://openalex.org/W1986214719","https://openalex.org/W1989206638","https://openalex.org/W6635272033","https://openalex.org/W6642391461"],"related_works":["https://openalex.org/W2137740981","https://openalex.org/W1989420504","https://openalex.org/W2041845676","https://openalex.org/W2125477157","https://openalex.org/W4321273133","https://openalex.org/W2050720944","https://openalex.org/W2093404141","https://openalex.org/W3103704822","https://openalex.org/W2771357549","https://openalex.org/W2158622082"],"abstract_inverted_index":{"This":[0,40],"paper":[1],"describes":[2],"two":[3],"power-supply":[4],"noise":[5,60,98,109,128],"(Ldi/dt)":[6],"management":[7],"techniques":[8],"implemented":[9],"in":[10,83],"a":[11,20,31,42,63],"14-nm":[12],"ternary":[13],"content-addressable":[14],"memory":[15],"(TCAM)":[16],"compiler":[17],"that":[18],"allows":[19],"2K":[21],"\u00d7":[22],"640":[23],"b":[24],"instance":[25],"to":[26,105,120],"perform":[27],"1.4Gsearches/s":[28],"while":[29],"achieving":[30],"density":[32,49],"of":[33,90],"2":[34],"Mb/mm":[35],"<sup":[36],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[38],".":[39],"represents":[41],"15%":[43],"better":[44,48],"performance":[45],"and":[46,94,125],"10%":[47],"than":[50],"previous":[51],"state-of-the-art":[52],"TCAM.":[53],"The":[54,101],"first":[55],"technique":[56,103],"reduces":[57],"the":[58,73,84,91,96,107],"within-cycle":[59,97],"by":[61,99,110,129],"employing":[62],"two-phase":[64],"match":[65],"line":[66],"(ML)":[67],"pre-charge":[68,74],"circuit":[69],"which":[70],"shuts":[71],"off":[72],"shoot-through":[75],"current":[76,123],"on":[77],"easy-to-detect":[78],"multibit":[79],"mismatched":[80],"MLs":[81],"early":[82],"cycle":[85],"thereby":[86],"approximately":[87],"saving":[88],"60%":[89],"ML":[92],"power":[93],"reducing":[95],"49.7%.":[100],"second":[102],"is":[104],"reduce":[106,126],"multicycle":[108],"inserting":[111],"targeted":[112],"dummy":[113],"search":[114],"operations":[115],"during":[116],"low-current":[117],"demand":[118,124],"periods":[119],"flatten":[121],"out":[122],"Ldi/dt":[127],"another":[130],"50%.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}