Mixed-precision AMG as linear equation solver for definite systems | Zendy

Maximilian Emans | Zendy; Albert van der Meer | Zendy

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Mixed-precision AMG as linear equation solver for definite systems

Author(s) -

Maximilian Emans,

Albert van der Meer

Publication year - 2010

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.04.020

Subject(s) - computer science , floating point , byte , solver , parallel computing , double precision floating point format , single precision floating point format , linear algebra , ieee floating point , linear system , multigrid method , computational science , arithmetic , algorithm , mathematics , programming language , differential equation , mathematical analysis , geometry

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

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