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1
Enabling the CUDA Unified Memory model in Edge, Cloud and H..:
, In:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
,
Montella, Raffaele
;
Di Luccio, Diana
;
De Vita, Ciro Giuseppe
... - p. 834-841 , 2022
Link:
https://doi.org/10.1109/CCGrid54584.2022.00099
RT T1 <cTitle>2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)</cTitle>: T1 <Title>Enabling the CUDA Unified Memory model in Edge, Cloud and HPC offloaded GPU kernels</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9825951&Exemplar=1&LAN=DE A1 Montella, Raffaele A1 Di Luccio, Diana A1 De Vita, Ciro Giuseppe A1 Mellone, Gennaro A1 Lapegna, Marco A1 Laccetti, Giuliano A1 Kosta, Sokol A1 Giunta, Giulio YR 2022 K1 Performance evaluation K1 Cloud computing K1 Codes K1 Computational modeling K1 Memory management K1 Graphics processing units K1 Prototypes K1 GPU K1 virtualization K1 remoting K1 offloading K1 CUDA K1 unified memory access SP 834 OP 841 LK http://dx.doi.org/https://doi.org/10.1109/CCGrid54584.2022.00099 DO https://doi.org/10.1109/CCGrid54584.2022.00099 SF ELIB - SuUB Bremen
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