{"id":"https://openalex.org/W4391183688","doi":"https://doi.org/10.1109/asicon58565.2023.10395957","title":"A Reusable AI acceleration Architecture based on Matrix Multiplication for Convolutional Neural Network with Digital Signal ProcessingTasks","display_name":"A Reusable AI acceleration Architecture based on Matrix Multiplication for Convolutional Neural Network with Digital Signal ProcessingTasks","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183688","doi":"https://doi.org/10.1109/asicon58565.2023.10395957"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10395957","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10395957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5063181801","display_name":"Bisheng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bisheng Chen","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103989843","display_name":"Xiayu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiayu Li","raw_affiliation_strings":["Shanghai Fudan Microelectronics Group Co., Ltd,Shanghai,China,200000"],"affiliations":[{"raw_affiliation_string":"Shanghai Fudan Microelectronics Group Co., Ltd,Shanghai,China,200000","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030749730","display_name":"Jicheng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jicheng Lu","raw_affiliation_strings":["Shanghai Fudan Microelectronics Group Co., Ltd,Shanghai,China,200000"],"affiliations":[{"raw_affiliation_string":"Shanghai Fudan Microelectronics Group Co., Ltd,Shanghai,China,200000","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112536909","display_name":"Jun Yu","orcid":"https://orcid.org/0009-0006-3920-9321"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","Shanghai Fudan Microelectronics Group Co., Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"Shanghai Fudan Microelectronics Group Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063181801"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19494317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9708999991416931,"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/computer-science","display_name":"Computer science","score":0.7343874573707581},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7117160558700562},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5799464583396912},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5712724328041077},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5697109699249268},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5464171767234802},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5070145130157471},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4762713611125946},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4532628059387207},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4227278232574463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3111441135406494},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10476213693618774},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07348045706748962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06580501794815063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343874573707581},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7117160558700562},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5799464583396912},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5712724328041077},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5697109699249268},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5464171767234802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5070145130157471},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4762713611125946},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4532628059387207},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4227278232574463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3111441135406494},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10476213693618774},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07348045706748962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06580501794815063},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10395957","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10395957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1990486890","https://openalex.org/W2145859819","https://openalex.org/W2289252105","https://openalex.org/W2432430852","https://openalex.org/W2606722458","https://openalex.org/W3107790796","https://openalex.org/W3117440043"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063","https://openalex.org/W2093666864"],"abstract_inverted_index":{"As":[0],"AI":[1,40],"begins":[2],"to":[3,20,60,73,140],"face":[4],"more":[5],"complex":[6],"application":[7],"scenarios,":[8],"such":[9],"as":[10],"intelligent":[11,15],"radar,":[12],"autopilot":[13],"and":[14,46,66,92,105,107,122,127,147],"5G,":[16],"it":[17],"often":[18],"needs":[19],"work":[21],"together":[22],"with":[23,38],"other":[24],"traditional":[25],"algorithms,":[26],"mainly":[27],"Digital":[28],"Signal":[29],"Processing":[30],"(DSP)":[31],"algorithms":[32],"now.":[33],"The":[34],"proposed":[35,80],"heterogeneous":[36],"architecture":[37,83,112,131],"an":[39],"core":[41,48],"(on":[42,49],"ASIC,":[43],"for":[44,51,132],"CNN)":[45],"IP":[47],"FPGA,":[50],"DSP)":[52],"is":[53,113],"usually":[54],"adopted,":[55],"but":[56],"that\u2019s":[57],"inefficient":[58],"due":[59],"the":[61,100,109,119,129,142],"inconsistency":[62],"in":[63],"data":[64],"transmission":[65],"operating":[67],"frequency":[68],"between":[69],"chips.":[70],"In":[71],"order":[72],"solve":[74],"this":[75,77],"problem,":[76],"paper":[78],"has":[79],"a":[81],"reusable":[82,111],"based":[84],"on":[85,95],"Matrix":[86,114,125],"Multiplication,":[87],"which":[88],"supports":[89],"convolution,":[90],"FFT":[91,104,121],"FIR":[93,106,123],"operations":[94],"ASIC.":[96],"We":[97],"first":[98],"analyzed":[99],"relationship":[101],"among":[102],"Convolution,":[103,120],"find":[108],"best":[110],"multiplication.":[115],"Then":[116],"we":[117,135],"decomposed":[118],"into":[124],"multiplication,":[126],"designed":[128],"hardware":[130],"them.":[133],"Finally,":[134],"used":[136],"Image":[137],"registration":[138],"algorithm":[139],"test":[141],"performance":[143],"of":[144],"our":[145],"architecture,":[146],"get":[148],"500%":[149],"speed":[150],"up.":[151]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}