{"id":"https://openalex.org/W4383501699","doi":"https://doi.org/10.1109/aicas57966.2023.10168640","title":"Three Challenges in ReRAM-Based Process-In-Memory for Neural Network","display_name":"Three Challenges in ReRAM-Based Process-In-Memory for Neural Network","publication_year":2023,"publication_date":"2023-06-11","ids":{"openalex":"https://openalex.org/W4383501699","doi":"https://doi.org/10.1109/aicas57966.2023.10168640"},"language":"en","primary_location":{"id":"doi:10.1109/aicas57966.2023.10168640","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas57966.2023.10168640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5100665681","display_name":"Ziyi Yang","orcid":"https://orcid.org/0009-0003-6065-8840"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyi Yang","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002119595","display_name":"Kehan Liu","orcid":"https://orcid.org/0000-0002-1610-4299"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehan Liu","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112733268","display_name":"Yiru Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiru Duan","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101221472","display_name":"Mingjia Fan","orcid":"https://orcid.org/0000-0002-1987-3173"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjia Fan","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000044793","display_name":"Qiyue Zhang","orcid":"https://orcid.org/0000-0003-1956-7093"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyue Zhang","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057257864","display_name":"Zhou Jin","orcid":"https://orcid.org/0000-0002-0632-9494"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Jin","raw_affiliation_strings":["China University of Petroleum, Beijing,Beijing,China,102249"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum, Beijing,Beijing,China,102249","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100665681"],"corresponding_institution_ids":["https://openalex.org/I204553293"],"apc_list":null,"apc_paid":null,"fwci":0.3918,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59192629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10472","display_name":"Semiconductor materials and devices","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.9156612157821655},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8191165924072266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7190024852752686},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.479289710521698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4708658754825592},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.44624441862106323},{"id":"https://openalex.org/keywords/in-memory-processing","display_name":"In-Memory Processing","score":0.4201989769935608},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3877335786819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22427719831466675},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18095755577087402},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1627124547958374},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1419467329978943}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.9156612157821655},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8191165924072266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190024852752686},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.479289710521698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4708658754825592},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.44624441862106323},{"id":"https://openalex.org/C123593499","wikidata":"https://www.wikidata.org/wiki/Q6008583","display_name":"In-Memory Processing","level":5,"score":0.4201989769935608},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3877335786819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22427719831466675},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18095755577087402},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1627124547958374},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1419467329978943},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.0},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas57966.2023.10168640","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas57966.2023.10168640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2536491920","https://openalex.org/W2736591611","https://openalex.org/W2827033417","https://openalex.org/W2962903741","https://openalex.org/W3035990767","https://openalex.org/W3036662047","https://openalex.org/W3100078588","https://openalex.org/W3111375540","https://openalex.org/W3133588229","https://openalex.org/W3133754064","https://openalex.org/W3134195144","https://openalex.org/W3134750800","https://openalex.org/W3200591480","https://openalex.org/W3212372726","https://openalex.org/W3213454114","https://openalex.org/W4200187633","https://openalex.org/W4200279771","https://openalex.org/W4200477077","https://openalex.org/W4210819681","https://openalex.org/W4220882094","https://openalex.org/W4221118949","https://openalex.org/W4226313376","https://openalex.org/W4280509186","https://openalex.org/W4280543111","https://openalex.org/W4280587271","https://openalex.org/W4280592620","https://openalex.org/W4280607397","https://openalex.org/W4280614391","https://openalex.org/W4280641199","https://openalex.org/W4294691303","https://openalex.org/W4308090791","https://openalex.org/W4312121112","https://openalex.org/W4312121163","https://openalex.org/W4318685218","https://openalex.org/W4318686070","https://openalex.org/W4318686686","https://openalex.org/W4319303202","https://openalex.org/W6776488958","https://openalex.org/W6791211223","https://openalex.org/W6791463985","https://openalex.org/W6791634667","https://openalex.org/W6801483480","https://openalex.org/W6809622522"],"related_works":["https://openalex.org/W3137037072","https://openalex.org/W4308870977","https://openalex.org/W2983750276","https://openalex.org/W3164445786","https://openalex.org/W2802367674","https://openalex.org/W2993390155","https://openalex.org/W2912892722","https://openalex.org/W2562493617","https://openalex.org/W2157007809","https://openalex.org/W2891417865"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"has":[3,55],"been":[4,56],"successfully":[5],"applied":[6],"to":[7],"various":[8],"fields":[9],"of":[10,14,34,84,112,117,132],"natural":[11],"science.":[12],"One":[13],"the":[15,22,29,44,82,94,115,130],"biggest":[16],"challenges":[17],"in":[18],"AI":[19,48,77],"acceleration":[20],"is":[21],"performance":[23],"and":[24,32,40,91,101,125,128],"energy":[25],"bottleneck":[26],"caused":[27],"by":[28],"limited":[30],"capacity":[31],"bandwidth":[33],"massive":[35],"data":[36],"movement":[37],"between":[38],"memory":[39,65],"processing":[41],"units.":[42],"In":[43,67],"past":[45],"decade,":[46],"much":[47],"accelerator":[49],"work":[50],"based":[51],"on":[52,59,75,88],"process-in-memory":[53],"(PIM)":[54],"studied,":[57],"especially":[58],"emerging":[60],"non-volatile":[61],"resistive":[62],"random":[63],"access":[64],"(ReRAM).":[66],"this":[68],"paper,":[69],"we":[70,99],"provide":[71,102],"a":[72],"comprehensive":[73],"perspective":[74],"ReRAM-based":[76],"accelerators,":[78],"including":[79],"software-hardware":[80],"co-design,":[81],"status":[83],"chip":[85],"fabrications,":[86],"researches":[87],"ReRAM":[89],"non-idealities,":[90],"support":[92,108],"for":[93,105,109],"EDA":[95,133],"tool":[96],"chain.":[97],"Finally,":[98],"summarize":[100],"three":[103],"directions":[104],"future":[106],"trends:":[107],"complex":[110],"patterns":[111],"models,":[113],"addressing":[114,129],"impact":[116],"non-idealities":[118],"such":[119],"as":[120],"improving":[121],"endurance,":[122],"process":[123],"perturbations,":[124],"leakage":[126],"current,":[127],"lack":[131],"tools.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
