Explicit integration with GPU acceleration for large kinetic networks
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996-1200 (United States)
- Department of Physics and Astronomy, University of Tennessee, Knoxville, TN 37996-1200 (United States)
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830 (United States)
We demonstrate the first implementation of recently-developed fast explicit kinetic integration algorithms on modern graphics processing unit (GPU) accelerators. Taking as a generic test case a Type Ia supernova explosion with an extremely stiff thermonuclear network having 150 isotopic species and 1604 reactions coupled to hydrodynamics using operator splitting, we demonstrate the capability to solve of order 100 realistic kinetic networks in parallel in the same time that standard implicit methods can solve a single such network on a CPU. This orders-of-magnitude decrease in computation time for solving systems of realistic kinetic networks implies that important coupled, multiphysics problems in various scientific and technical fields that were intractable, or could be simulated only with highly schematic kinetic networks, are now computationally feasible.
- OSTI ID:
- 22570201
- Journal Information:
- Journal of Computational Physics, Vol. 302; Other Information: Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-9991
- Country of Publication:
- United States
- Language:
- English
SkyNet: A Modular Nuclear Reaction Network Library
|
journal | December 2017 |
GPU-accelerated CFD Simulations for Turbomachinery Design Optimization
|
text | January 2017 |
| The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics | preprint | January 2019 |
Similar Records
Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations
Redesigning combustion modelingnext term algorithms for the Graphics Processing Unit (GPU): Chemical kinetic rate evaluation and ordinary differential equation integration