GPU-ACCELERATED AND CPU SIMD OPTIMIZED MONTE CARLO SIMULATION OF φ4 MODEL

被引：0
|
作者：
Bialas, Piotr [1 ,2 ]
Kowal, Jakub [1 ]
Strzelecki, Adam [1 ]
机构：
[1] Jagiellonian Univ, Fac Phys Astron & Appl Comp Sci, PL-30059 Krakow, Poland
[2] Jagiellonian Univ, Fac Phys Astron & Appl Comp Sci, Mark Kac Complex Syst Res Ctr, PL-30059 Krakow, Poland
来源：
COMPUTING AND INFORMATICS | 2014年 / 33卷 / 05期
关键词：
GPU computing; vectorization; SIMD; Monte-Carlo simulations;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this contribution we describe an efficient GPU implementation of the Monte-Carlo simulation of the Ginsburg-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.
引用
收藏
页码：1191 / 1208
页数：18
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