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Persistent URL http://purl.org/net/epubs/work/49086
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Record Id 49086
Title A fast and robust mixed precision solver for the solution of sparse symmetric linear systems
Abstract The main bottleneck for emerging computing architectures is memory bandwidth. The amount of data moved around within a sparse direct solver can be approximately halved by using single precision arithmetic. However, the cost of this is a potential loss of accuracy in the solution of the linear systems. Double precision iterative methods preconditioned by a single precision factorization can enable the recovery of high precision solutions more quickly than a sparse direct solver run using double precision arithmetic. The gains from the reduced memory bandwidth are expected to be particularly prominent on multicore machines where the ratio of computational power to bandwidth is higher. In this paper, we develop a practical algorithm to apply such a mixed precision approach and suggest parameters and techniques to minimise the number of solves required by the iterative recovery process. These experiments provide the basis for our new code HSL_MA79 - a fast, robust, mixed precision sparse symmetric solver that will be included in the mathematical software library HSL. Numerical results for a wide range of problems from practical applications are presented.
Organisation CSE , CSE-NAG , STFC
Keywords sparse symmetric linear systems , multifrontal method , FGMRES , iterative refinement , Fortran 95 , Gaussian elimination , mixed precision
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Language English (EN)
Type Details URI(s) Local file(s) Year
Report RAL Technical Reports RAL-TR-2008-023. 2008. MixedPrecFastRobust.pdf 2008
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