Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs (CROSBI ID 580403)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Davidović, Davor ; Enrique S. Quintana-Ortí
engleski
Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs
In this paper we address the reduction of a dense matrix to tridiagonal form for the solution of symmetric eigenvalue problems on a graphics processor (GPU) when the data is too large to fit into the accelerator memory. We apply out-of-core techniques to a three-stage algorithm, carefully redesigning the first stage to reduce the number of data transfers between the CPU and GPU memory spaces, maintain the memory requirements on the GPU within limits, and ensure high performance by featuring a high ratio between computation and communication.
GPU; linear algebra; symmetric eigenproblems; tridiagonal form; band form
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Podaci o prilogu
442-449.
2012.
objavljeno
Podaci o matičnoj publikaciji
Euromicro Conference on Parallel, Distributed and Network-based Processing
Rainer Stotzka, Michael Schiffers, and Yiannis Cotronis
IEEE Computer Society CPS
978-0-7695-4633-9
Podaci o skupu
20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing
predavanje
15.02.2012-17.02.2012
Garching, Njemačka; München, Njemačka