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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/tvlsi/TanTHXX23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Gan_Tong>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hongbing_Tan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Libo_Huang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Liquan_Xiao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Nong_Xiao>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FTVLSI.2022.3226185>
foaf:homepage <https://doi.org/10.1109/TVLSI.2022.3226185>
dc:identifier DBLP journals/tvlsi/TanTHXX23 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FTVLSI.2022.3226185 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/tvlsi>
rdfs:label Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Gan_Tong>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hongbing_Tan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Libo_Huang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Liquan_Xiao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Nong_Xiao>
swrc:month February (xsd:string)
swrc:number 2 (xsd:string)
swrc:pages 253-266 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/tvlsi/TanTHXX23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/tvlsi/TanTHXX23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/tvlsi/tvlsi31.html#TanTHXX23>
rdfs:seeAlso <https://doi.org/10.1109/TVLSI.2022.3226185>
dc:title Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 31 (xsd:string)