Global Memory Access Modelling for Efficient Implementation of the Lattice Boltzmann Method on Graphics Processing Units

被引：0

作者：

Obrecht, Christian ^{[1
]}

Kuznik, Frederic ^{[1
]}

Tourancheau, Bernard ^{[2
]}

Roux, Jean-Jacques ^{[1
]}

机构：

[1] Univ Lyon, INSA Lyon, CNRS,Ctr Thermique Lyon, UMR 5008, Bat Sadi Carnot,9 Rue Phys, F-69621 Villeurbanne, France

[2] UCB Lyon 1, UMR 5668,ENS Lyon, INRIA, Lab Informat Parallelisme,CNRS, Lyon 63964, France

来源：

HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2010 | 2011年 / 6449卷

关键词：

GPU computing; CUDA; lattice Boltzmann method; CFD;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this work, we investigate the global memory access mechanism on recent GPUs. For the purpose of this study, we created specific benchmark programs, which allowed us to explore the scheduling of global memory transactions. Thus, we formulate a model capable of estimating the execution time for a large class of applications. Our main goal is to facilitate optimisation of regular data-parallel applications on GPUs. As an example, we finally describe our CUDA implementations of LBM flow solvers on which our model was able to estimate performance with less than 5% relative error.

引用

页码：151 / +

页数：2

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