GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ4 Model
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
Computing and Informatics, Tome 33 (2015) no. 3, / Harvested from
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.
Publié le : 2015-02-10
@article{cai2090,
     author = {Piotr Bia\l as; 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},
     title = {GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of $\phi$4 Model},
     journal = {Computing and Informatics},
     volume = {33},
     number = {3},
     year = {2015},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai2090}
}

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. GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ4 Model. Computing and Informatics, Tome 33 (2015) no. 3, . http://gdmltest.u-ga.fr/item/cai2090/