Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/sensors/JunaidAPKYS24
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/sensors/JunaidAPKYS24
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Hayotjon_Aliev
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Hoyoung_Yoo
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/HyungWon_Kim_0001
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Muhammad_Junaid
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Sangbo_Park
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Sanghoon_Sim
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.3390%2Fs24072145
>
foaf:
homepage
<
https://doi.org/10.3390/s24072145
>
dc:
identifier
DBLP journals/sensors/JunaidAPKYS24
(xsd:string)
dc:
identifier
DOI doi.org%2F10.3390%2Fs24072145
(xsd:string)
dcterms:
issued
2024
(xsd:gYear)
swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/sensors
>
rdfs:
label
Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Hayotjon_Aliev
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Hoyoung_Yoo
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/HyungWon_Kim_0001
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Muhammad_Junaid
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Sangbo_Park
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Sanghoon_Sim
>
swrc:
month
April
(xsd:string)
swrc:
number
7
(xsd:string)
swrc:
pages
2145
(xsd:string)
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/journals/sensors/JunaidAPKYS24/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/journals/sensors/JunaidAPKYS24
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/journals/sensors/sensors24.html#JunaidAPKYS24
>
rdfs:
seeAlso
<
https://doi.org/10.3390/s24072145
>
dc:
title
Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:Article
rdf:
type
foaf:Document
swrc:
volume
24
(xsd:string)