GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ4 Model

Authors

  • Piotr Białas Faculty of Physics, Astronomy and Applied Computer Science & Mark Kac Complex Systems Research Centre, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, ul. Reymonta 4, 30-059 Krakow
  • Jakub Kowal Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, ul. Reymonta 4, 30-059 Krakow
  • Adam Strzelecki Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, ul. Reymonta 4, 30-059 Krakow

Keywords:

GPU computing, vectorization, SIMD, Monte-Carlo simulations

Abstract

In this contribution we describe an efficient GPU implementation of the Monte-Carlo simulation of the Ginzburg-Landau model. We achieve the performance close to 50 % of the peak performance of the used GPU. We compare this performance with a parallelized and vectorized CPU code and discuss the observed differences.

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Published

2015-02-10

How to Cite

Białas, P., Kowal, J., & Strzelecki, A. (2015). GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ4 Model. Computing and Informatics, 33(5), 1191–1208. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2090

Issue

Vol. 33 No. 5 (2014): Computing and Informatics

Section

Articles