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cuPSO : GPU parallelization for particle swarm optimizat..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,

Wang, Chuan-Chi ; Ho, Chun-Yen ; Tu, Chia-Heng. - p. 1183-1189 , 2022

Link: https://dl.acm.org/doi/10.1145/3477314.3507142

RT 
T1 <cTitle>Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>cuPSO				: GPU parallelization for particle swarm optimization algorithms</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3507142&Exemplar=1&LAN=DE
				
A1 Wang, Chuan-Chi
A1 Ho, Chun-Yen
A1 Tu, Chia-Heng
A1 Hung, Shih-Hao
PB ACM
YR 2022
K1 atomic function
K1 coalesced memory access
K1 compute unified device architecture (CUDA)
K1 curand
K1 general purpose graphic processing unit (GPGPU)
K1 parallel programming
K1 particle swarm optimization (PSO)
K1 Computing methodologies
K1 Parallel computing methodologies
K1 Parallel algorithms
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Single instruction, multiple data
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Stochastic approximation
SP 1183
OP 1189
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477314.3507142
DO https://dl.acm.org/doi/10.1145/3477314.3507142
SF ELIB - SuUB Bremen

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