The NVIDIA CUDA Random Number Generation library (cuRAND) delivers high performance GPU-accelerated random number generation (RNG). The cuRAND library delivers high quality random numbers 8x faster using hundreds of processor cores available in NVIDIA GPUs. cuRAND also provides two flexible interfaces, allowing you to generate random numbers in bulk from host code running on the CPU or from within your CUDA functions/kernels running on the GPU. A variety of RNG algorithms and distribution options means you can select the best solution for your needs.
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References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
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- Saito, Mutsuo; Matsumoto, Makoto: Variants of Mersenne Twister suitable for graphic processors (2013)
- Cardoso, Nuno; Bicudo, Pedro: SU(2) lattice gauge theory simulations on Fermi GPUs (2011)