Implementation of Parallel Adaptive-Krylov Exponential Solvers for Stiff Problems
- Univ. of California, Merced, CA (United States)
Recently exponential integrators have been receiving increased attention as a means of solving large stiff systems of ODEs. Preliminary performance analysis demonstrated that exponential integrators hold promise compared to state-of-the-art implicit methods. However, much work remains to be done to understand in detail possible computational advantages these methods may offer in practice. This is particularly true for supercomputer-scale problems as there has been very little work on parallelizing exponential methods. In this paper we describe an implementation of a suite of parallel exponential solvers. Additionally, we present some performance tests on four stiff benchmark problems of a particular adaptive-Krylov exponential propagation iterative Runge--Kutta (EPIRK) method from the suite, and compare efficiency with the Newton--Krylov implicit solver CVODE.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
- Grant/Contract Number:
- AC52-07NA27344; 1115978
- OSTI ID:
- 1860891
- Report Number(s):
- LLNL-JRNL-645881; 765819
- Journal Information:
- SIAM Journal on Scientific Computing, Vol. 36, Issue 5; ISSN 1064-8275
- Publisher:
- Society for Industrial and Applied Mathematics (SIAM)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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journal | February 2020 |
Overlapping localized exponential time differencing methods for diffusion problems
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journal | January 2018 |
Preconditioned Implicit-Exponential (IMEXP) Time Integrators for Stiff Differential Equations | preprint | January 2016 |
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