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PERKS: a Locality-Optimized Execution Model for Iterative M..:
, In:
Proceedings of the 37th ACM International Conference on Supercomputing
,
Zhang, Lingqi
;
Wahib, Mohamed
;
Chen, Peng
... - p. 167-179 , 2023
Link:
https://dl.acm.org/doi/10.1145/3577193.3593705
RT T1 <cTitle>Proceedings of the 37th ACM International Conference on Supercomputing</cTitle>: T1 <Title>PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3593705&Exemplar=1&LAN=DE A1 Zhang, Lingqi A1 Wahib, Mohamed A1 Chen, Peng A1 Meng, Jintao A1 Wang, Xiao A1 Endo, Toshio A1 Matsuoka, Satoshi PB ACM YR 2023 K1 persistent kernel K1 iterative solvers K1 memory-bound K1 GPU K1 Computing methodologies K1 Concurrent computing methodologies K1 Parallel computing methodologies K1 Computer systems organization K1 Architectures K1 Parallel architectures SP 167 OP 179 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3577193.3593705 DO https://dl.acm.org/doi/10.1145/3577193.3593705 SF ELIB - SuUB Bremen
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