Concurrent, Parallel, Multiphysics Coupling in the FACETS Project

被引:8
作者
Cary, J. R. [1 ]
Candy, J. [2 ]
Cobb, J. [3 ]
Cohen, R. H. [4 ]
Epperly, T. [4 ]
Estep, D. J. [5 ]
Krasheninnikov, S. [6 ]
Malony, A. D. [7 ]
McCune, D. C. [8 ]
McInnes, L. [9 ]
Pankin, A. [10 ]
Balay, S. [9 ]
Carlsson, J. A. [1 ]
Fahey, M. R. [3 ]
Groebner, R. J. [2 ]
Hakim, A. H. [1 ]
Kruger, S. E. [1 ]
Miah, M. [1 ]
Pletzer, A. [1 ]
Shasharina, S. [1 ]
Vadlamani, S. [1 ]
Wade-Stein, D. [1 ]
Rognlien, T. D. [4 ]
Morris, A. [7 ]
Shende, S. [7 ]
Hammett, G. W. [8 ]
Indireshkumar, K. [7 ]
Pigarov, A. Yu [6 ]
Zhang, H. [9 ]
机构
[1] Tech X Corp, 5621 Arapahoe Ave,Suite A, Boulder, CO 80303 USA
[2] Gen Atom, San Diego, CA USA
[3] Oak Ridge Natl Lab, Oak Ridge, TN USA
[4] Lawrence Livermore Natl Lab, Lawrence, KS USA
[5] Colorado State Univ, Colorado Springs, CO USA
[6] Univ Calif San Diego, La Jolla, CA 92093 USA
[7] ParaTools Inc, Eugene, OR USA
[8] Princeton Plasma Phys Lab, Princeton, NJ USA
[9] Argonne Natl Lab, Argonne, IL 60439 USA
[10] Lehigh Univ, Bethlehem, PA USA
来源
SCIDAC 2009: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING | 2009年 / 180卷
关键词
D O I
10.1088/1742-6596/180/1/012056
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
FACETS (Framework Application for Core-Edge Transport Simulations), is now in its third year. The FACETS team has developed a framework for concurrent coupling of parallel computational physics for use on Leadership Class Facilities (LCFs). In the course of the last year, FACETS has tackled many of the difficult problems of moving to parallel, integrated modeling by developing algorithms for coupled systems, extracting legacy applications as components, modifying them to run on LCFs, and improving the performance of all components. The development of FACETS abides by rigorous engineering standards, including cross platform build and test systems, with the latter covering regression, performance, and visualization. In addition, FACETS has demonstrated the ability to incorporate full turbulence computations for the highest fidelity transport computations. Early indications are that the framework, using such computations, scales to multiple tens of thousands of processors. These accomplishments were a result of an interdisciplinary collaboration among computational physics, computer scientists and applied mathematicians on the team.
引用
收藏
页数:7
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