TY - CPAPER
AU - D. Szałkowski
AU - Przemysław Stpiczyński
AB - The aim of the paper is to show how to design and implement fast parallel algorithms for Linear Congruential, Lagged Fibonacci and Wichmann-Hill pseudorandom number generators. The new algorithms employ the divide-and-conquer approach for solving linear recurrence systems. They are implemented on multi GPU-accelerated systems using CUDA. Numerical experiments performed on a computer system with two Fermi GPU cards show that our software achieve good performance in comparison to the widely used NVIDIA CURAND Library.
BT - Proceedings of the 2013 Federated Conference on Computer Science and Information Systems
LA - eng
N2 - The aim of the paper is to show how to design and implement fast parallel algorithms for Linear Congruential, Lagged Fibonacci and Wichmann-Hill pseudorandom number generators. The new algorithms employ the divide-and-conquer approach for solving linear recurrence systems. They are implemented on multi GPU-accelerated systems using CUDA. Numerical experiments performed on a computer system with two Fermi GPU cards show that our software achieve good performance in comparison to the widely used NVIDIA CURAND Library.
PB - IEEE
PY - 2013
EP - 515–519
T2 - Proceedings of the 2013 Federated Conference on Computer Science and Information Systems
TI - Template library for Multi-GPU pseudorandom number recursion-based generators
ER -