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1 Ergebnisse
1
Optimizing GPU deep learning operators with polyhedral sche..:
, In:
Proceedings of the 20th IEEE/ACM International Symposium on Code Generation and Optimization
,
Bastoul, Cedric
;
Zhang, Zhen
;
Razanajato, Harenome
... - p. 313-324 , 2022
Link:
https://dl.acm.org/doi/10.1109/CGO53902.2022.9741260
RT T1 <cTitle>Proceedings of the 20th IEEE/ACM International Symposium on Code Generation and Optimization</cTitle>: T1 <Title>Optimizing GPU deep learning operators with polyhedral scheduling constraint injection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3536317&Exemplar=1&LAN=DE A1 Bastoul, Cedric A1 Zhang, Zhen A1 Razanajato, Harenome A1 Lossing, Nelson A1 Susungi, Adilla A1 de Juan, Javier A1 Filhol, Etienne A1 Jarry, Baptiste A1 Consolaro, Gianpietro A1 Zhang, Renwei PB IEEE Press YR 2022 K1 polyhedral model K1 scheduling K1 vectorization K1 Software and its engineering K1 Software notations and tools K1 Compilers SP 313 OP 324 LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/CGO53902.2022.9741260 DO https://dl.acm.org/doi/10.1109/CGO53902.2022.9741260 SF ELIB - SuUB Bremen
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