Proceedings Article10.1109/EIT.2013.6632675
Solving PDEs in modern multiphysics simulation software
Dawid Krol,Dawid Zydek +1 more
- 09 May 2013
- pp 1-6
4
TL;DR: Graphic Processing Units (GPUs) and Field-Programmable Gate Arrays (FPGAs) are proposed as the solutions significantly increasing performance of multiphysics simulators.
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Abstract: Needs and expectations of nowadays science require not only precise description of certain natural and physics phenomena, but also a capability to model and predict their future state. There are many physics and mathematical models already created and described, some of them are developed many years ago; however, solving the models remains a challenge till date. Due to research advances in computer science field, the challenge can be faced using modern software tools, called multiphysics simulators. In this paper, three systems using finite element method are presented. Structure, concept of solving problems, capacity, performance, and weak and strong sides of these systems are described and discussed. Goal of the analysis is to find bottlenecks in the systems. These bottlenecks are caused by limitations of hardware used, which can be overcome using other technologies. We propose Graphic Processing Units (GPUs) and Field-Programmable Gate Arrays (FPGAs) as the solutions significantly increasing performance of multiphysics simulators.
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Citations
Multi-physics coupling simulation in virtual reactors:
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Matrix Multiplication in Multiphysics Systems Using CUDA
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- 01 Jan 2014
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TL;DR: In this paper, hybrid approaches that use both CPU and GPU are proposed.
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References
An overview of the Trilinos project
Michael A. Heroux,Roscoe A. Bartlett,Vicki E. Howle,Robert J. Hoekstra,Jonathan Joseph Hu,Tamara G. Kolda,Richard B. Lehoucq,Kevin Long,Roger P. Pawlowski,Eric T. Phipps,Andrew G. Salinger,Heidi K. Thornquist,Raymond S. Tuminaro,James M. Willenbring,Alan B. Williams,Kendall S. Stanley +15 more
TL;DR: The overall Trilinos design is presented, describing the use of abstract interfaces and default concrete implementations and how packages can be combined to rapidly develop new algorithms.
MOOSE: A parallel computational framework for coupled systems of nonlinear equations
TL;DR: MOOSE as mentioned in this paper is a parallel computational framework targeted at solving coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes, which is based on mathematics based on Jacobian-free Newton Krylov (JFNK).
940
libMesh: a C++ library for parallel adaptive mesh refinement/coarsening simulations
TL;DR: The main goals of this article are to provide a basic reference source that describes libMesh and the underlying philosophy and software design approach, and to give sufficient detail and references on the adaptive mesh refinement and coarsening (AMR/C) scheme for applications analysts and developers.
896
MPI as a Programming Model for High-Performance Reconfigurable Computers
Manuel Saldana,Arun Patel,Christopher A. Madill,Daniel Nunes,Danyao Wang,Paul Chow,Ralph D. Wittig,Henry E. Styles,Andrew Putnam +8 more
TL;DR: TMD-MPI is shown to address current design challenges in HPRC usage, suggesting that the MPI standard has enough syntax and semantics to program these new types of parallel architectures.
42
A system integration framework for coupled multiphysics simulations
Xiangmin Jiao,Gengbin Zheng,Phillip A. Alexander,Michael T. Campbell,Orion Sky Lawlor,John Norris,Andreas Haselbacher,Michael T. Heath +7 more
TL;DR: This paper describes some numerical, geometrical, and system software components required by integration of parallel, multiphysics simulations, with a concrete case study of detailed, three-dimensional, parallel rocket simulations involving system-level interactions among fluid, solid, and combustion.