{"id":"https://openalex.org/W4401536795","doi":"https://doi.org/10.1109/tcsii.2024.3442873","title":"A Reconfigurable Computing-in-Memory Accelerator With Dynamic Group-Based Dataflow and Dual-Input Macro Designs","display_name":"A Reconfigurable Computing-in-Memory Accelerator With Dynamic Group-Based Dataflow and Dual-Input Macro Designs","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4401536795","doi":"https://doi.org/10.1109/tcsii.2024.3442873"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2024.3442873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3442873","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5052177563","display_name":"Pufan Xu","orcid":"https://orcid.org/0000-0002-6087-0783"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pufan Xu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6087-0783","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068948522","display_name":"Xing Mou","orcid":"https://orcid.org/0000-0002-1438-2455"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Mou","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008633924","display_name":"Bin Gao","orcid":"https://orcid.org/0000-0002-2417-983X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Gao","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2417-983X","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025695117","display_name":"Qiumeng Wei","orcid":"https://orcid.org/0009-0005-0550-4835"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiumeng Wei","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-0550-4835","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082717970","display_name":"Peng Yao","orcid":"https://orcid.org/0000-0003-0172-4310"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yao","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0172-4310","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006887059","display_name":"Jianshi Tang","orcid":"https://orcid.org/0000-0001-8369-0067"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianshi Tang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8369-0067","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102499848","display_name":"He Qian","orcid":"https://orcid.org/0009-0001-9525-3232"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Qian","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040105498","display_name":"Huaqiang Wu","orcid":"https://orcid.org/0000-0001-8359-7997"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiang Wu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8359-7997","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5052177563"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09896353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"12","first_page":"4849","last_page":"4853"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.8863734006881714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6972033977508545},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.6918612122535706},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5777573585510254},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.54940265417099},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.45870861411094666},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.45547083020210266},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3600015342235565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3507536053657532},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3502976596355438},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3471246361732483},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2236248254776001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17225107550621033}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.8863734006881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972033977508545},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.6918612122535706},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5777573585510254},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.54940265417099},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45870861411094666},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.45547083020210266},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3600015342235565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3507536053657532},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3502976596355438},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3471246361732483},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2236248254776001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17225107550621033},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2024.3442873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3442873","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1680790843","display_name":null,"funder_award_id":"92064001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2190669663","display_name":null,"funder_award_id":"2021ZD0201200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2798424358","display_name":null,"funder_award_id":"62025111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G333427516","display_name":null,"funder_award_id":"92064015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G405280213","display_name":null,"funder_award_id":"92164302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2613989746","https://openalex.org/W2785141883","https://openalex.org/W2945146780","https://openalex.org/W3015982917","https://openalex.org/W3134195144","https://openalex.org/W3157110934","https://openalex.org/W4210530509","https://openalex.org/W4243519499","https://openalex.org/W4254672563","https://openalex.org/W4292121737","https://openalex.org/W4292387453","https://openalex.org/W4323022446","https://openalex.org/W4360606474","https://openalex.org/W4385217898","https://openalex.org/W4385896568","https://openalex.org/W4386736788","https://openalex.org/W4394670654","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W2171015181","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W4239447582","https://openalex.org/W2383090288","https://openalex.org/W2387846155","https://openalex.org/W1998888015"],"abstract_inverted_index":{"Non-volatile":[0],"memory-based":[1],"computing-in-memory":[2],"(nvCIM)":[3],"is":[4,52],"a":[5,67,76,99],"promising":[6],"candidate":[7],"for":[8,27,37,90],"accelerating":[9],"deep":[10],"neural":[11],"networks":[12],"(DNNs)":[13],"at":[14],"the":[15,38,87,125],"edge.":[16],"However,":[17],"current":[18],"nvCIMs":[19],"adopt":[20],"fully-pipelined":[21],"(FP)":[22],"or":[23],"layer-serial":[24],"(LS)":[25],"dataflows":[26],"all":[28],"DNN":[29],"layers,":[30],"suffering":[31],"poor":[32],"area":[33,92,137],"and":[34,93,114,140],"energy":[35,94,149],"efficiency":[36,138,150],"layer-wise-varied":[39],"workloads.":[40],"Furthermore,":[41],"their":[42],"fixed":[43],"macro":[44,103,112],"structure":[45],"results":[46],"in":[47],"resource":[48],"under-utilization,":[49],"as":[50],"it":[51,74,97],"unable":[53],"to":[54,56,86,110,121],"adapt":[55],"varying":[57],"weight":[58],"sizes.":[59],"To":[60],"address":[61],"these":[62],"issues,":[63],"this":[64],"brief":[65],"proposes":[66],"reconfigurable":[68],"nvCIM":[69,153],"with":[70,81],"dynamic":[71,77],"dataflow.":[72],"First,":[73],"contains":[75],"inter-pipelined-intra-serial":[78],"(IPIS)":[79],"dataflow":[80],"group":[82],"partition":[83],"mechanism,":[84],"adapting":[85],"diverse":[88],"workloads":[89],"high":[91],"efficiency.":[95],"Second,":[96],"has":[98],"dual-input":[100],"block-reconfigurable":[101],"(DIBR)":[102],"structure,":[104],"allowing":[105],"finer":[106],"granularity":[107],"input":[108,116],"selection":[109],"improve":[111],"utilization":[113],"achieve":[115],"data":[117],"reuse.":[118],"When":[119],"applied":[120],"four":[122],"well-known":[123],"networks,":[124],"proposed":[126],"design":[127],"attains":[128],"<inline-formula":[129,141],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130,142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[131,143],"<tex-math":[132,144],"notation=\"LaTeX\">$2.27\\sim":[133],"11.92\\times":[134],"$":[135,147],"</tex-math></inline-formula>":[136,148],"gains":[139,151],"notation=\"LaTeX\">$2.21\\sim":[145],"14.43\\times":[146],"over":[152],"baselines.":[154]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}