@inproceedings{bibcite_15046,
  author = {Przemys{\l}aw Stpiczy{\'n}ski and D. Szatkowski and J. Potiopa},
  title = {Parallel GPU accelerated Recursion-based generators of pseudorandom numbers},
  abstract = {Abstract{\textemdash}The aim of the paper is to show how to design fast parallel algorithms for linear congruential and lagged Fibonacci pseudorandom numbers generators. The new algorithms employ the divide-and-conquer approach for solving linear recurrence systems and can be easily implemented on GPU-accelerated hybrid systems using CUDA or OpenCL. Numerical experiments performed on a computer system with modern Fermi GPU show that they achieve good speedup in comparison to the standard CPU-based sequential algorithms.},
  year = {2012},
  journal = {Proceedings of the Federated Conference on Computer Science and Information Systems},
  pages = {571{\textendash}578},
  publisher = {IEEE Computer Society Press},
  note = {Federated Conference on computer Science and Information Systems, September 9-12, 2012, Wroclaw, Poland},
  language = {eng},
}