{"id":"https://openalex.org/W2610338990","doi":"https://doi.org/10.1109/isqed.2017.7918340","title":"CAP: Configurable resistive associative processor for near-data computing","display_name":"CAP: Configurable resistive associative processor for near-data computing","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2610338990","doi":"https://doi.org/10.1109/isqed.2017.7918340","mag":"2610338990"},"language":"en","primary_location":{"id":"doi:10.1109/isqed.2017.7918340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed.2017.7918340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th International Symposium on Quality Electronic Design (ISQED)","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/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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["CSE Department, University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"CSE Department, University of California San Diego, La Jolla, CA, 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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tajana Rosing","raw_affiliation_strings":["CSE Department, University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"CSE Department, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033221192"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.7345,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72048663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9966999888420105,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9897000193595886,"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":0.8182195425033569},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6978281140327454},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.5620908141136169},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.45937785506248474},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4497043788433075},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34778109192848206},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.24034270644187927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182195425033569},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6978281140327454},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.5620908141136169},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.45937785506248474},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4497043788433075},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34778109192848206},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.24034270644187927},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed.2017.7918340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed.2017.7918340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1568888158","https://openalex.org/W1605552448","https://openalex.org/W1987565267","https://openalex.org/W2020704360","https://openalex.org/W2030165200","https://openalex.org/W2042488319","https://openalex.org/W2048466306","https://openalex.org/W2067221645","https://openalex.org/W2079415017","https://openalex.org/W2103742924","https://openalex.org/W2111619626","https://openalex.org/W2346297475","https://openalex.org/W2346685430","https://openalex.org/W2352050502","https://openalex.org/W2397531454","https://openalex.org/W2399109261","https://openalex.org/W2499900168","https://openalex.org/W2527751063","https://openalex.org/W2611289746","https://openalex.org/W3102398612","https://openalex.org/W4243582817","https://openalex.org/W4252173333","https://openalex.org/W4299134008","https://openalex.org/W6634098704","https://openalex.org/W6655418220","https://openalex.org/W6704578084"],"related_works":["https://openalex.org/W1604898313","https://openalex.org/W2117014006","https://openalex.org/W4233815414","https://openalex.org/W2372170743","https://openalex.org/W1997145140","https://openalex.org/W2034384303","https://openalex.org/W2162262741","https://openalex.org/W4254805635","https://openalex.org/W1561552270","https://openalex.org/W4235489013"],"abstract_inverted_index":{"Internet":[0],"of":[1,5,9,16,43,69,179],"Things":[2],"is":[3,75],"capable":[4,68],"generating":[6],"huge":[7],"amount":[8,42],"data,":[10],"causing":[11],"high":[12],"overhead":[13],"in":[14,40,131,135,147],"terms":[15],"energy":[17,159],"and":[18,25,35,99,103,130,154,157,161,163,171],"performance":[19],"if":[20],"run":[21],"on":[22],"traditional":[23],"CPUs":[24],"GPUs.":[26],"This":[27],"inefficiency":[28],"comes":[29],"from":[30,88],"the":[31,79,85,110,145],"limited":[32],"cache":[33],"size":[34],"memory":[36,47,81,119],"bandwidth":[37],"which":[38,60],"result":[39],"large":[41],"data":[44,86,92],"movement":[45],"through":[46],"hierarchy.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,113],"propose":[53],"a":[54,115],"configurable":[55],"associative":[56,118],"processor,":[57],"called":[58],"CAP,":[59],"accelerates":[61],"computation":[62],"using":[63],"multiple":[64],"parallel":[65],"memory-based":[66],"cores":[67],"approximate":[70,138,148],"or":[71,137],"exact":[72,136],"matching.":[73],"CAP":[74,111,146],"integrated":[76],"next":[77],"to":[78,125,168],"main":[80],"so":[82],"it":[83],"fetches":[84],"directly":[87],"DRAM.":[89],"To":[90,107],"exploit":[91],"locality,":[93],"CAMs":[94],"adaptively":[95],"split":[96],"into":[97],"highly":[98,127],"less":[100],"frequent":[101,128],"components":[102],"update":[104],"at":[105],"runtime.":[106],"further":[108],"improve":[109],"efficiency,":[112],"integrate":[114],"novel":[116],"signature-based":[117],"(SIGAM)":[120],"beside":[121],"each":[122],"processing":[123],"cores,":[124],"store":[126],"patterns":[129],"runtime":[132],"retrieve":[133],"them":[134],"modes.":[139],"Our":[140],"experimental":[141],"evaluations":[142],"show":[143],"that":[144],"(exact)":[149],"mode":[150],"can":[151],"achieve":[152],"9.4\u00d7":[153],"5.3\u00d7":[155],"(7.2\u00d7":[156],"4.2\u00d7)":[158],"improvement,":[160],"4.1\u00d7":[162],"1.3\u00d7":[164],"speeds":[165],"up":[166],"compare":[167],"AMD":[169],"GPU":[170],"ASIC":[172],"CMOS-based":[173],"designs":[174],"while":[175],"providing":[176],"acceptable":[177],"quality":[178],"service.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
