{"id":"https://openalex.org/W4212861636","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712544","title":"Heterogeneous Memory Architecture Accommodating Processing-in-Memory on SoC for AIoT Applications","display_name":"Heterogeneous Memory Architecture Accommodating Processing-in-Memory on SoC for AIoT Applications","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4212861636","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712544"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac52403.2022.9712544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712544","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5055110598","display_name":"Kangyi Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangyi Qiu","raw_affiliation_strings":["Institute of Artificial Intelligence, Peking University,Beijing,China","Institute of Artificial Intelligence, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020613063","display_name":"Yaojun Zhang","orcid":"https://orcid.org/0000-0002-9752-4729"},"institutions":[{"id":"https://openalex.org/I76308706","display_name":"Microchip Technology (Germany)","ror":"https://ror.org/05bqd9t64","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093228","https://openalex.org/I76308706"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yaojun Zhang","raw_affiliation_strings":["Pimchip Technology Co., Ltd.,Beijing,China","Pimchip Technology Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Pimchip Technology Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I76308706"]},{"raw_affiliation_string":"Pimchip Technology Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043075091","display_name":"Bonan Yan","orcid":"https://orcid.org/0000-0002-3052-9330"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bonan Yan","raw_affiliation_strings":["Institute of Artificial Intelligence, Peking University,Beijing,China","Institute of Artificial Intelligence, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Peking University,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012603707","display_name":"Ru Huang","orcid":"https://orcid.org/0000-0001-7545-0987"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Huang","raw_affiliation_strings":["School of Integrated Circuits, Peking University,Beijing,China","School of Integrated Circuits, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055110598"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.8575,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62992922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9984999895095825,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9980000257492065,"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":0.7733743786811829},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5881334543228149},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5852474570274353},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5823810696601868},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.576349139213562},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.4895542562007904},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4833192825317383},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4699452221393585},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.460604727268219},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4500768184661865},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.44074028730392456},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3483818471431732},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13425418734550476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733743786811829},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5881334543228149},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5852474570274353},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5823810696601868},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.576349139213562},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.4895542562007904},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4833192825317383},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4699452221393585},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.460604727268219},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4500768184661865},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.44074028730392456},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3483818471431732},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13425418734550476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/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/asp-dac52403.2022.9712544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712544","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1967894204","https://openalex.org/W2129003230","https://openalex.org/W2293587938","https://openalex.org/W2776052384","https://openalex.org/W2909534142","https://openalex.org/W2913104037","https://openalex.org/W2920242713","https://openalex.org/W2945951882","https://openalex.org/W2964810732","https://openalex.org/W2967433097","https://openalex.org/W3011347095","https://openalex.org/W3013241373","https://openalex.org/W3015980402","https://openalex.org/W3042493405","https://openalex.org/W3043571714","https://openalex.org/W3044192339","https://openalex.org/W3092108775","https://openalex.org/W3119933723","https://openalex.org/W3185238080","https://openalex.org/W6679218950","https://openalex.org/W6757924340","https://openalex.org/W6774875199"],"related_works":["https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2760721665","https://openalex.org/W2107954672","https://openalex.org/W3161249280","https://openalex.org/W330130819","https://openalex.org/W2267059662","https://openalex.org/W2288610023","https://openalex.org/W2112044895","https://openalex.org/W3137340192"],"abstract_inverted_index":{"Processing-In-Memory":[0],"(PIM)":[1],"technologies":[2],"is":[3],"one":[4],"of":[5,49,60,119,131],"most":[6],"promising":[7],"candidates":[8],"for":[9,173],"AIoT":[10],"applications":[11],"due":[12],"to":[13,30,54,56,96],"its":[14],"attractive":[15],"characteristics,":[16],"such":[17],"as":[18,143,145],"low":[19],"computation":[20],"latency,":[21],"large":[22],"throughput":[23],"and":[24,99,111,126,170,180],"high":[25,129],"power":[26,142],"efficiency.":[27],"However,":[28],"how":[29],"efficiently":[31],"utilize":[32],"PIM":[33,61,77,106,132,181],"with":[34,76,150,177],"System-on-Chip":[35],"(SoC)":[36],"architecture":[37,53],"has":[38],"been":[39],"scarcely":[40],"discussed.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,64,88],"demonstrate":[46],"a":[47,66],"series":[48],"solution":[50,124],"from":[51],"hardware":[52,110],"algorithm":[55],"maximize":[57,127],"the":[58,73,117,120,128,151,164],"benefits":[59],"design.":[62],"First,":[63],"propose":[65,90],"Heterogeneous":[67],"Memory":[68],"Architecture":[69],"(HMA)":[70],"that":[71,159],"facilitates":[72],"existing":[74],"SoC":[75],"via":[78],"high-throughput":[79],"on-chip":[80],"buses.":[81],"Then,":[82],"based":[83],"on":[84,105],"given":[85],"HMA":[86,92,109,112,136],"structure,":[87],"also":[89,157],"an":[91],"tensor":[93,113],"mapping":[94,114],"approach":[95,115],"partition":[97],"tensors":[98],"deploy":[100],"general":[101],"matrix":[102],"multiplication":[103],"operations":[104],"structures.":[107],"Both":[108],"harnesses":[116],"programmability":[118],"mature":[121],"embedded":[122],"CPU":[123],"stack":[125],"efficiency":[130],"technology.":[133],"The":[134,155],"whole":[135],"system":[137],"can":[138,162],"save":[139],"416":[140],"x":[141],"well":[144],"44.6%":[146],"design":[147,161],"area":[148],"compare":[149,176],"latest":[152],"accelerator":[153],"solutions.":[154],"evaluation":[156],"shows":[158],"our":[160],"reduce":[163],"operation":[165],"latency":[166],"by":[167],"430":[168],"\u00d7":[169,172],"11":[171],"TinyML":[174],"applications,":[175],"state-of-art":[178],"baseline":[179],"without":[182],"optimization,":[183],"respectively.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
