PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs.
Lev Yu. BarashLev N. ShchurPublished in: CoRR (2013)
Keyphrases
- parallel processing
- gpu accelerated
- parallel architectures
- multi core systems
- graphics processing units
- random number
- computational power
- shared memory
- parallel computation
- parallel programming
- multi core processors
- parallel algorithm
- parallel computing
- real time
- memory bandwidth
- artificial neural networks
- massively parallel
- general purpose
- neural network