A Multi-GPU Implementation of a D2Q37 Lattice Boltzmann Code

被引：0

作者：

Biferale, Luca ^{[1
]}

Mantovani, Filippo ^{[2
]}

Pivanti, Marcello ^{[3
,4
]}

Pozzati, Fabio ^{[5
]}

Sbragaglia, Mauro ^{[1
]}

Scagliarini, Andrea ^{[6
]}

Schifano, Sebastiano Fabio ^{[3
,4
]}

Toschi, Federico ^{[7
,8
]}

Tripiccione, Raffaele ^{[3
,4
]}

机构：

[1] Univ Roma Tor Vergata, Rome, Italy

[2] Deutsch Elekt Synchrotron DESY, Zeuthen, Germany

[3] Univ Ferrara, Ferrara, Italy

[4] INFN, Ferrara, Italy

[5] Fondaz Bruno Kessler Trento, Trento, Italy

[6] Univ Barcelona, Barcelona, Spain

[7] Eindhoven Univ Technol, Eindhoven, Netherlands

[8] CNR, IAC, Rome, Italy

来源：

PARALLEL PROCESSING AND APPLIED MATHEMATICS, PT I | 2012年 / 7203卷

关键词：

Computational fluid-dynamics; Lattice Boltzmann methods; GP-GPUs computing; PERFORMANCE;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluster based on Nvidia Fermi processors. We analyze how to optimize the algorithm for GP-GPU architectures, describe the implementation choices that we have adopted and compare our performance results with an implementation optimized for latest generation multi-core CPUs. Our program runs at approximate to 30% of the double-precision peak performance of one GPU and shows almost linear scaling when run on the multi-GPU cluster.

引用

页码：640 / 650

页数：11

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