Parallel Preconditioning with Sparse Approximate Inverses
SIAM Journal on Scientific Computing
Robustness and Scalability of Algebraic Multigrid
SIAM Journal on Scientific Computing
Multigrid
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
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The influence of multi-core central processing units and graphics processing units on several algebraic multigrid methods is investigated in this work. Different performance metrics traditionally employed for algebraic multigrid are reconsidered and reevaluated on these novel computing architectures. Our benchmark results show that with the use of graphics processing units for the solver phase, it is crucial to keep algebraic multigrid setup times low, even if this leads to a higher number of solver iterations.