{"id":"https://openalex.org/W4400524723","doi":"https://doi.org/10.1109/access.2024.3426625","title":"RNPE: An MSDF and Redundant Number System-Based DNN Accelerator Engine","display_name":"RNPE: An MSDF and Redundant Number System-Based DNN Accelerator Engine","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400524723","doi":"https://doi.org/10.1109/access.2024.3426625"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3426625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426625","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3426625","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016243614","display_name":"Iraj Moghaddasi","orcid":"https://orcid.org/0009-0007-7934-5720"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Iraj Moghaddasi","raw_affiliation_strings":["Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001597461","display_name":"Ghassem Jaberipur","orcid":"https://orcid.org/0000-0001-8458-7627"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ghassem Jaberipur","raw_affiliation_strings":["Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083420500","display_name":"Danial Javaheri","orcid":"https://orcid.org/0000-0002-7275-2370"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Danial Javaheri","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024305043","display_name":"Byeong\u2010Gyu Nam","orcid":"https://orcid.org/0000-0003-0069-1959"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeong-Gyu Nam","raw_affiliation_strings":["Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016243614"],"corresponding_institution_ids":["https://openalex.org/I196345858"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3804,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61749069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"96552","last_page":"96564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9914000034332275,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8091570138931274},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5875380039215088},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.564184308052063},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5328372716903687},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4898914694786072},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.48574596643447876},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4771147072315216},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45339563488960266},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36048269271850586},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33654290437698364},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3364413380622864},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33060330152511597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24877041578292847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21930259466171265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091570138931274},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5875380039215088},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.564184308052063},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5328372716903687},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4898914694786072},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.48574596643447876},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4771147072315216},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45339563488960266},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36048269271850586},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33654290437698364},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3364413380622864},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33060330152511597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24877041578292847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21930259466171265},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3426625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426625","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8887401f535643c9815ec104d79705e4","is_oa":true,"landing_page_url":"https://doaj.org/article/8887401f535643c9815ec104d79705e4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 96552-96564 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3426625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426625","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2104733895","https://openalex.org/W2248239756","https://openalex.org/W2442974303","https://openalex.org/W2516141709","https://openalex.org/W2522548197","https://openalex.org/W2606722458","https://openalex.org/W2742044963","https://openalex.org/W2751725772","https://openalex.org/W2798436851","https://openalex.org/W2801000640","https://openalex.org/W2883542588","https://openalex.org/W2895531329","https://openalex.org/W2943148367","https://openalex.org/W2945146780","https://openalex.org/W2946047477","https://openalex.org/W2952857977","https://openalex.org/W2963367920","https://openalex.org/W2985539467","https://openalex.org/W3003961668","https://openalex.org/W3044794971","https://openalex.org/W3083229274","https://openalex.org/W3099513244","https://openalex.org/W3107491168","https://openalex.org/W3119837987","https://openalex.org/W3120434317","https://openalex.org/W3159706310","https://openalex.org/W3201362027","https://openalex.org/W3203665167","https://openalex.org/W4205806473","https://openalex.org/W4213013241","https://openalex.org/W4247198796","https://openalex.org/W4313467202","https://openalex.org/W4317795337","https://openalex.org/W4385453267","https://openalex.org/W4385731914","https://openalex.org/W4386322980","https://openalex.org/W6684191040","https://openalex.org/W6729126992","https://openalex.org/W6742680294","https://openalex.org/W6763456558"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W3176282186","https://openalex.org/W4387489555","https://openalex.org/W2973622361","https://openalex.org/W4293053895","https://openalex.org/W4405230314","https://openalex.org/W4288024917","https://openalex.org/W2983364019","https://openalex.org/W2998183476","https://openalex.org/W3215372595"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"network":[2],"(DNN)":[3],"is":[4,189],"becoming":[5],"pervasive":[6],"in":[7,51,64,140,144,214],"today\u2019s":[8],"applications":[9],"with":[10,68,106,175],"intelligent":[11],"autonomy.":[12],"Nonetheless,":[13],"the":[14,30,69,89,98,107,119,154,168,181,194,208,219],"ever-increasing":[15],"complexity":[16],"of":[17,71,91,157,164],"modern":[18],"DNN":[19,155],"models":[20,156],"caused":[21],"several":[22,35],"challenges":[23,47],"on":[24,212,218],"edge":[25],"devices,":[26],"struggling":[27],"to":[28,41,127,173,180],"support":[29],"intensive":[31],"computing":[32],"demands.":[33],"Although":[34],"hardware":[36],"accelerators":[37,76],"have":[38,61],"been":[39,62,138],"introduced":[40],"improve":[42],"performance":[43],"and":[44,56,59,84,114,130,142,197,202],"computation":[45,78,85,124],"efficiency,":[46],"still":[48],"exist":[49],"particularly":[50],"mission-critical":[52],"applications,":[53],"e.g.,":[54],"automotive":[55],"healthcare.":[57],"Compression":[58],"approximation":[60],"utilized":[63],"this":[65],"respect,":[66],"albeit":[67],"probability":[70],"accuracy":[72,177],"loss.":[73],"Meanwhile,":[74],"serial":[75],"increase":[77],"efficiency":[79,125],"via":[80],"dynamic":[81],"precision":[82],"adaptation":[83],"pruning":[86,215],"but":[87],"at":[88],"expense":[90],"increasing":[92],"response":[93,120,169],"time.":[94],"This":[95],"paper":[96],"proposes":[97],"Redundant":[99],"number":[100],"system-based":[101],"Neural":[102],"Processing":[103],"Engine":[104],"(RNPE)":[105],"Most":[108],"Significant":[109],"Digit":[110],"First":[111],"(MSDF)":[112],"input":[113],"output":[115,221],"streams.":[116],"RNPE":[117,165,192,206],"reduces":[118,167],"time":[121,170],"while":[122],"improving":[123],"compared":[126,179],"traditional":[128],"bit-parallel":[129],"bit-serial":[131],"processing":[132],"engines.":[133],"The":[134],"proposed":[135],"architecture":[136],"has":[137],"described":[139],"RTL":[141],"synthesized":[143],"28":[145],"nm":[146],"CMOS":[147],"technology":[148],"for":[149],"evaluation.":[150],"Cycle-accurate":[151],"simulations":[152],"over":[153],"image":[158],"classification":[159],"demonstrated":[160],"a":[161],"single":[162],"unit":[163],"significantly":[166],"by":[171,200,210],"up":[172],"97%":[174],"no":[176],"loss":[178],"baseline;":[182],"however,":[183],"an":[184],"additional":[185],"25%":[186],"area":[187],"overhead":[188],"imposed.":[190],"Furthermore,":[191],"improves":[193],"average":[195,213],"power-delay":[196],"energy-delay":[198],"products":[199],"14%":[201],"53%,":[203],"respectively.":[204],"Eventually,":[205],"exceeds":[207],"state-of-the-art":[209],"23%":[211],"ineffectual":[216],"computations":[217],"MSDF":[220],"stream.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}