{"id":"https://openalex.org/W2799229073","doi":"https://doi.org/10.23919/date.2018.8342009","title":"ReCom: An efficient resistive accelerator for compressed deep neural networks","display_name":"ReCom: An efficient resistive accelerator for compressed deep neural networks","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2799229073","doi":"https://doi.org/10.23919/date.2018.8342009","mag":"2799229073"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342009","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5059787309","display_name":"Houxiang Ji","orcid":"https://orcid.org/0009-0008-8402-0127"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Houxiang Ji","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036239104","display_name":"Linghao Song","orcid":"https://orcid.org/0000-0002-7450-2842"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linghao Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, U.S.A","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053801300","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0002-7353-8798"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jiang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105352253","display_name":"Hai Li","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["Duke University, Durham, NC, US"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, US","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, U.S.A","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059787309"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":5.0213,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.95799888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"240"},"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":0.9995999932289124,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7632970213890076},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.6623813509941101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506497859954834},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5928122997283936},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5895718932151794},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5749472379684448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5670077800750732},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.43352824449539185},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42536839842796326},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4130840301513672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3935111165046692},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38103219866752625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2971571683883667},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.28325408697128296},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16160094738006592},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.11393964290618896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08090406656265259}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7632970213890076},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.6623813509941101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506497859954834},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5928122997283936},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5895718932151794},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5749472379684448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5670077800750732},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.43352824449539185},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42536839842796326},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4130840301513672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3935111165046692},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38103219866752625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2971571683883667},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.28325408697128296},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16160094738006592},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.11393964290618896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08090406656265259},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2018.8342009","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1997836507","https://openalex.org/W2013028205","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2155893237","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2442974303","https://openalex.org/W2508602506","https://openalex.org/W2516141709","https://openalex.org/W2518281301","https://openalex.org/W2613119772","https://openalex.org/W2613989746","https://openalex.org/W2962903741","https://openalex.org/W2963000224","https://openalex.org/W4233317171","https://openalex.org/W6684191040","https://openalex.org/W6725543821"],"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/W2013643406","https://openalex.org/W2199653281","https://openalex.org/W2218038495","https://openalex.org/W2532502681"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"play":[4],"a":[5,35,46,176],"key":[6],"role":[7],"in":[8,32,43,67,93],"prevailing":[9],"machine":[10],"learning":[11],"applications.":[12],"Resistive":[13],"random-access":[14],"memory":[15],"(ReRAM)":[16],"is":[17,41,111,137],"capable":[18],"of":[19,38,64,78,85],"both":[20],"computation":[21,50],"and":[22,131,151,156,170],"storage,":[23],"contributing":[24],"to":[25,48,75,105,127,175],"the":[26,61,79,101,141],"acceleration":[27],"on":[28,89],"DNNs":[29,68],"by":[30,53],"processing":[31],"memory.":[33],"Besides,":[34],"significant":[36],"amount":[37],"zero":[39,65,129],"weights":[40,66,123],"observed":[42],"DNNs,":[44],"providing":[45],"space":[47],"reduce":[49],"cost":[51],"further":[52],"skipping":[54],"ineffectual":[55],"calculations":[56],"associated":[57],"with":[58],"them.":[59],"However,":[60],"irregular":[62],"distribution":[63],"makes":[69],"it":[70],"difficult":[71],"for":[72,116,154],"resistive":[73,103,114,178],"accelerators":[74],"take":[76],"advantage":[77],"sparsity":[80],"as":[81],"expected":[82],"efficiently,":[83],"because":[84],"its":[86],"high":[87],"reliance":[88],"regular":[90],"matrix-vector":[91],"multiplication":[92],"ReRAM.":[94],"In":[95,162],"this":[96],"work,":[97],"we":[98],"propose":[99],"ReCom,":[100],"first":[102],"accelerator":[104,115],"support":[106],"sparse":[107],"DNN":[108,122,135],"processing.":[109],"ReCom":[110,165],"an":[112],"efficient":[113],"compressed":[117,126],"deep":[118],"neural":[119],"networks,":[120],"where":[121],"are":[124,159],"structurally":[125],"eliminate":[128],"parameters":[130],"become":[132],"hardware-friendly.":[133],"Zero":[134],"activation":[136],"also":[138],"considered":[139],"at":[140],"same":[142],"time.":[143],"Two":[144],"technologies,":[145],"Structurally-compressed":[146],"Weight":[147],"Oriented":[148],"Fetching":[149],"(SWOF)":[150],"In-layer":[152],"Pipeline":[153],"Memory":[155],"Computation":[157],"(IPMC),":[158],"particularly":[160],"proposed.":[161],"our":[163],"evaluation,":[164],"can":[166],"achieve":[167],"3.37\u00d7":[168],"speedup":[169],"2.41\u00d7":[171],"energy":[172],"efficiency":[173],"compared":[174],"state-of-the-art":[177],"accelerator.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14}],"updated_date":"2026-01-17T23:10:49.606395","created_date":"2025-10-10T00:00:00"}