10618

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski
Institute of Mathematics, Maria Curie-Sklodowska University, Pl. M. Curie-Sklodowskiej 1, Lublin, Poland
Federated Conference on Computer Science and Information Systems, 2013
@article{szalkowski2013template,

   title={Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators},

   author={Sza{l}kowski, Dominik and Stpiczynski, Przemys{l}aw},

   year={2013}

}

Download Download (PDF)   View View   Source Source   Source codes Source codes

Package:

1537

views

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.
VN:F [1.9.22_1171]
Rating: 5.0/5 (3 votes cast)
Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators, 5.0 out of 5 based on 3 ratings

* * *

* * *

Like us on Facebook

HGPU group

231 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1429 peoples are following HGPU @twitter

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: