{"id":"https://openalex.org/W2900379535","doi":"https://doi.org/10.1145/3240765.3240811","title":"FELIX","display_name":"FELIX","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2900379535","doi":"https://doi.org/10.1145/3240765.3240811","mag":"2900379535"},"language":"en","primary_location":{"id":"doi:10.1145/3240765.3240811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3240811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","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/A5079372283","display_name":"Saransh Gupta","orcid":"https://orcid.org/0000-0001-5814-3934"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saransh Gupta","raw_affiliation_strings":["UC San Diego","CSE Department, UC San Diego, La Jolla, CA, 92093, USA"],"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]},{"raw_affiliation_string":"CSE Department, UC San Diego, La Jolla, CA, 92093, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033221192","display_name":"Mohsen Imani","orcid":"https://orcid.org/0000-0002-5761-0622"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["UC San Diego","CSE Department, UC San Diego, La Jolla, CA, 92093, USA"],"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]},{"raw_affiliation_string":"CSE Department, UC San Diego, La Jolla, CA, 92093, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025573294","display_name":"Tajana Rosing","orcid":"https://orcid.org/0000-0002-6954-997X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I2800935791","display_name":"UC San Diego Health System","ror":"https://ror.org/01kbfgm16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tajana Rosing","raw_affiliation_strings":["UC San Diego","CSE Department, UC San Diego, La Jolla, CA, 92093, USA"],"affiliations":[{"raw_affiliation_string":"UC San Diego","institution_ids":["https://openalex.org/I2800935791"]},{"raw_affiliation_string":"CSE Department, UC San Diego, La Jolla, CA, 92093, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079372283"],"corresponding_institution_ids":["https://openalex.org/I2800935791","https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":8.0705,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.97994568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8644895553588867},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6530452370643616},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.54289710521698},{"id":"https://openalex.org/keywords/sense-amplifier","display_name":"Sense amplifier","score":0.5423775911331177},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5122372508049011},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.509952187538147},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4715801775455475},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4492664039134979},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4425842761993408},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.38316965103149414},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36571502685546875},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3650120496749878},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.26364052295684814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8644895553588867},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6530452370643616},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.54289710521698},{"id":"https://openalex.org/C32666082","wikidata":"https://www.wikidata.org/wiki/Q7450979","display_name":"Sense amplifier","level":3,"score":0.5423775911331177},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5122372508049011},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.509952187538147},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4715801775455475},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4492664039134979},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4425842761993408},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.38316965103149414},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36571502685546875},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3650120496749878},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.26364052295684814},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240765.3240811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3240811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G492869783","display_name":null,"funder_award_id":"CRISP-JUMP","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G5695734910","display_name":null,"funder_award_id":"1527034, 1730158","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1578783943","https://openalex.org/W1969349120","https://openalex.org/W2020704360","https://openalex.org/W2025674646","https://openalex.org/W2030165200","https://openalex.org/W2037227137","https://openalex.org/W2048466306","https://openalex.org/W2061071837","https://openalex.org/W2063598276","https://openalex.org/W2066280488","https://openalex.org/W2068849277","https://openalex.org/W2070862086","https://openalex.org/W2081729575","https://openalex.org/W2111619626","https://openalex.org/W2114094169","https://openalex.org/W2396622873","https://openalex.org/W2407339173","https://openalex.org/W2499900168","https://openalex.org/W2588236721","https://openalex.org/W2625133503","https://openalex.org/W2744849844","https://openalex.org/W2750066038","https://openalex.org/W2771100829","https://openalex.org/W2790344283","https://openalex.org/W2799257450","https://openalex.org/W2799290373","https://openalex.org/W2799942529","https://openalex.org/W2807837291","https://openalex.org/W2809429070","https://openalex.org/W3120740533","https://openalex.org/W4229976825","https://openalex.org/W4252173333","https://openalex.org/W6634343353","https://openalex.org/W6742680666"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W1569655464","https://openalex.org/W2891987081","https://openalex.org/W2030843684","https://openalex.org/W2115150433"],"abstract_inverted_index":{"The":[0],"Internet":[1],"of":[2,10,16,48,58,65,151,166],"Things":[3],"(IoT)":[4],"has":[5],"led":[6],"to":[7,74,95,125,204,225],"the":[8,56,63,70,76,91,141,149,164,170,226],"emergence":[9],"big":[11],"data.":[12],"Processing":[13],"this":[14,41],"amount":[15,150],"data":[17,31,110,117],"poses":[18],"a":[19,33,102,175],"challenge":[20],"for":[21,185],"current":[22],"computing":[23,179],"systems.":[24,39],"PIM":[25,59,72,144,228],"enables":[26],"in-place":[27],"computation":[28],"which":[29,54,106],"reduces":[30],"movement,":[32],"major":[34],"latency":[35,139],"bottleneck":[36],"in":[37,86,134,154],"conventional":[38],"In":[40],"paper,":[42],"we":[43,173],"propose":[44],"an":[45],"in-memory":[46,104,152],"implementation":[47],"fast":[49],"and":[50,83,132,197,219],"energy-efficient":[51],"logic":[52,73],"(FELIX)":[53],"combines":[55],"functionality":[57],"with":[60,136],"memories.":[61],"To":[62,162],"best":[64],"authors&#x0027;":[66],"knowledge,":[67],"FELIX":[68,191,207],"is":[69,101],"first":[71],"enable":[75,96],"single":[77,97,122],"cycle":[78,98,123],"NOR,":[79],"NOT,":[80],"NAND,":[81],"minority,":[82],"OR":[84],"directly":[85],"crossbar":[87],"memory.":[88],"We":[89,119,146],"exploit":[90],"voltage":[92],"threshold-based":[93],"memristors":[94],"operations.":[99],"It":[100],"purely":[103],"execution":[105],"neither":[107],"reads":[108],"out":[109],"nor":[111],"changes":[112],"sense":[113],"amplifiers,":[114],"while":[115],"preserving":[116],"in-memory.":[118],"extend":[120],"these":[121],"operations":[124],"implement":[126],"more":[127],"complex":[128],"functions":[129],"like":[130],"XOR":[131],"addition":[133],"memory":[135,222],"2&#x00D7;":[137],"lower":[138,199],"than":[140],"fastest":[142,227],"published":[143],"technique.":[145,229],"also":[147,209],"increase":[148],"parallelism":[153],"our":[155,167],"design":[156,168,174],"by":[157],"segmenting":[158],"bitlines":[159],"using":[160,189],"switches.":[161],"evaluate":[163],"efficiency":[165],"at":[169],"system":[171],"level,":[172],"FELIX-based":[176],"HyperDimensional":[177],"(HD)":[178],"accelerator.":[180],"Our":[181],"evaluation":[182],"shows":[183],"that":[184],"all":[186],"applications":[187],"tested":[188],"HD,":[190],"provides":[192],"on":[193,211],"average":[194,212],"128.8&#x00D7;":[195],"speedup":[196],"5,589.3&#x00D7;":[198],"energy":[200,215],"consumption":[201],"as":[202,223],"compared":[203,224],"AMD":[205],"GPU.":[206],"HD":[208],"achieves":[210],"2.21&#x00D7;":[213],"higher":[214],"efficiency,":[216],"1.86&#x00D7;":[217],"speedup,":[218],"1.68&#x00D7;":[220],"less":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2018-11-16T00:00:00"}
