Performance analysis of a 3D unstructured mesh hydrodynamics code on multi-core and many-core architectures

被引：2
|
作者：
Waltz, J.
Wohlbier, J. G.
Risinger, L. D.
Canfield, T. R.
Charest, M. R. J.
Long, A. R.
Morgan, N. R.
机构：
[1] X Computational Physics Division, Los Alamos National Laboratory
[2] Computational and Computer Sciences Division, Los Amos National Laboratory
[3] Formerly of Computational and Computer Sciences Division, Los Alamos National Laboratory
[4] Theoretical Division, Los Amos National Laboratory
[5] Computational Physics Division, Los Amos National Laboratory
来源：
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS | 2015年 / 77卷 / 06期
关键词：
unstructured grids; shock hydrodynamics; many-core architectures; threading; SHOCK HYDRODYNAMICS; SHARED-MEMORY; GRIDS; FLOW; MINIMIZATION; ALGORITHMS; SIMULATION; MACHINES; HARDWARE; SOLVERS;
D O I：
10.1002/fld.3982
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Several next generation high performance computing platforms are or will be based on the so-called many-core architectures, which represent a significant departure from commodity multi-core architectures. A key issue in transitioning large-scale simulation codes from multi-core to many-core systems is closing the serial performance gap, that is, overcoming the large difference in single-core performance between multi-core and many-core systems. In this paper, we discuss how this problem was addressed for a 3D unstructured mesh hydrodynamics code, describe how Amdahl's law can be used to estimate performance targets and guide optimization efforts, and present timing studies performed on multi-core and many-core platforms. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
引用
收藏
页码：319 / 333
页数：15
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