{"id":"https://openalex.org/W4210588783","doi":"https://doi.org/10.1109/3dic52383.2021.9687615","title":"A Review of 3D-Dynamic Random-Access Memory based Near-Memory Computation","display_name":"A Review of 3D-Dynamic Random-Access Memory based Near-Memory Computation","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W4210588783","doi":"https://doi.org/10.1109/3dic52383.2021.9687615"},"language":"en","primary_location":{"id":"doi:10.1109/3dic52383.2021.9687615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dic52383.2021.9687615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International 3D Systems Integration Conference (3DIC)","raw_type":"proceedings-article"},"type":"review","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/A5048806501","display_name":"Prasanth Prabu Ravichandiran","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prasanth Prabu Ravichandiran","raw_affiliation_strings":["North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA,27695"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA,27695","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074605796","display_name":"Paul D. Franzon","orcid":"https://orcid.org/0000-0002-6048-5770"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul D. Franzon","raw_affiliation_strings":["North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA,27695"],"affiliations":[{"raw_affiliation_string":"North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA,27695","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048806501"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.7019,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.70474665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"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/bottleneck","display_name":"Bottleneck","score":0.911868691444397},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.8634239435195923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8446975946426392},{"id":"https://openalex.org/keywords/dynamic-random-access-memory","display_name":"Dynamic random-access memory","score":0.6723037362098694},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6376116275787354},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6188856959342957},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5731922388076782},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5520843267440796},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5482346415519714},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5361233949661255},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.5078805088996887},{"id":"https://openalex.org/keywords/memory-architecture","display_name":"Memory architecture","score":0.4978291988372803},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.45674577355384827},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42704853415489197},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4168643355369568},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3716547191143036},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3625810146331787},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.30357635021209717},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.2785415053367615},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.22435417771339417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16779062151908875},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14626485109329224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09526130557060242}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.911868691444397},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.8634239435195923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8446975946426392},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.6723037362098694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6376116275787354},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6188856959342957},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5731922388076782},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5520843267440796},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5482346415519714},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5361233949661255},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.5078805088996887},{"id":"https://openalex.org/C2779602883","wikidata":"https://www.wikidata.org/wiki/Q15544750","display_name":"Memory architecture","level":2,"score":0.4978291988372803},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.45674577355384827},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42704853415489197},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4168643355369568},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3716547191143036},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3625810146331787},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30357635021209717},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.2785415053367615},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.22435417771339417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16779062151908875},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14626485109329224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09526130557060242},{"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},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dic52383.2021.9687615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dic52383.2021.9687615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International 3D Systems Integration Conference (3DIC)","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":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1984704950","https://openalex.org/W2024818089","https://openalex.org/W2045431893","https://openalex.org/W2086112773","https://openalex.org/W2093524602","https://openalex.org/W2289252105","https://openalex.org/W2335240678","https://openalex.org/W2522548197","https://openalex.org/W2546503017","https://openalex.org/W2552200656","https://openalex.org/W2556370608","https://openalex.org/W2562985778","https://openalex.org/W2582737986","https://openalex.org/W2605347906","https://openalex.org/W2606722458","https://openalex.org/W2612654866","https://openalex.org/W2766489088","https://openalex.org/W2768900401","https://openalex.org/W2801000640","https://openalex.org/W2812853021","https://openalex.org/W2887018074","https://openalex.org/W2897706246","https://openalex.org/W2912631384","https://openalex.org/W2940722902","https://openalex.org/W2945146780","https://openalex.org/W2949792175","https://openalex.org/W3005783121","https://openalex.org/W3013347742","https://openalex.org/W3042598257","https://openalex.org/W3083505238","https://openalex.org/W3088805269","https://openalex.org/W4239722617","https://openalex.org/W4243519499"],"related_works":["https://openalex.org/W2127001124","https://openalex.org/W2533585248","https://openalex.org/W2094308961","https://openalex.org/W2806599233","https://openalex.org/W2142111686","https://openalex.org/W4386903460","https://openalex.org/W2473808647","https://openalex.org/W4205208341","https://openalex.org/W3146887517","https://openalex.org/W3011606802"],"abstract_inverted_index":{"The":[0],"growth":[1],"of":[2,31,43],"Neural":[3],"Networks":[4],"(NNs)":[5],"and":[6,34,66,99,102],"Machine":[7],"Learning":[8],"(ML)":[9],"usage":[10],"has":[11,35],"rapidly":[12],"increased":[13],"over":[14],"the":[15,27,40,44,56,60],"last":[16],"decade.":[17],"Traditional":[18],"dynamic":[19],"random-access":[20],"memory":[21],"(DRAM)":[22],"is":[23,48],"struggling":[24],"to":[25,54,59],"meet":[26],"computational,":[28],"throughput":[29,65],"demands":[30],"these":[32],"NNs":[33],"become":[36],"a":[37,75,90],"bottleneck":[38],"in":[39,63],"system.":[41],"One":[42],"commonly":[45],"proposed":[46],"solutions":[47],"Near-Memory":[49],"Computation":[50],"(NMC)":[51],"hardware":[52],"accelerators":[53],"move":[55],"computation":[57],"closer":[58],"data":[61],"resulting":[62],"improved":[64],"reduced":[67],"power":[68],"consumption.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"analyze":[74],"few":[76],"critical":[77],"NMC":[78],"architecture":[79],"implementations,":[80],"specifically":[81],"those":[82],"with":[83],"3D-Stacked":[84],"DRAM":[85],"memory.":[86],"We":[87],"have":[88],"organized":[89],"literature":[91],"review":[92],"across":[93],"structures,":[94],"configuration,":[95],"application,":[96],"performance":[97],"metrics,":[98],"present":[100],"challenges":[101],"opportunities.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
