New Multigrid Solver Advances in TOPS
In this paper, we highlight new multigrid solver advances in the Terascale Optimal PDE Simulations (TOPS) project in the Scientific Discovery Through Advanced Computing (SciDAC) program. We discuss two new algebraic multigrid (AMG) developments in TOPS: the adaptive smoothed aggregation method ({alpha}SA) and a coarse-grid selection algorithm based on compatible relaxation (CR). The {alpha}SA method is showing promising results in initial studies for Quantum Chromodynamics (QCD) applications. The CR method has the potential to greatly improve the applicability of AMG.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 877775
- Report Number(s):
- UCRL-PROC-213270
- Country of Publication:
- United States
- Language:
- English
Adaptive Smoothed Aggregation ($\alpha$SA)
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journal | January 2004 |
On Generalizing the Algebraic Multigrid Framework
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journal | January 2004 |
Adaptive filtering
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journal | December 1997 |
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