Mixed-precision AMG as linear equation solver for definite systems

Maximilian Emans, Albert van der Meer
2010 Procedia Computer Science  
The performance of algebraic multigrid (AMG) algorithms, implemented in 4-byte floating point arithmetic, is investigated on modern cluster architecture with multi-core CPUs. The algorithmic considerations comprise the effect of preconditioning in 4-byte floating point arithmetic on Krylov solvers using standard 8-byte floating point arithmetic. The data of basic linear algebra benchmarks are used to interpret the performance of AMG algorithms employed as linear solvers in computational fluid dynamics simulation tools.
doi:10.1016/j.procs.2010.04.020 fatcat:o75zynhv2jf7thaowdzk3a743q