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Your search keyword '"Remón, Alfredo"' showing total 5 results
Start Over Author "Remón, Alfredo" Topic multi-core processors
5 results on '"Remón, Alfredo"'

2. Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm

Author

Dufrechou, Ernesto, Ezzatti, Pablo, Quintana-Ortí, Enrique S., Remón, Alfredo, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Osthoff, Carla, editor, Navaux, Philippe Olivier Alexandre, editor, Barrios Hernandez, Carlos Jaime, editor, and Silva Dias, Pedro L., editor

Published
2015
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3. Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Author

Benner, Peter, Ezzatti, Pablo, Quintana-Ortí, Enrique S., Remón, Alfredo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lin, Hai-Xiang, editor, Alexander, Michael, editor, Forsell, Martti, editor, Knüpfer, Andreas, editor, Prodan, Radu, editor, Sousa, Leonel, editor, and Streit, Achim, editor

Published
2010
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5. A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU–GPU platforms

Author

Benner, Peter, Ezzatti, Pablo, Kressner, Daniel, Quintana-Ortı´, Enrique S., and Remón, Alfredo

Subjects
*LYAPUNOV functions, *GRAPHICS processing units, *MULTICORE processors, *ALGORITHMS, *ITERATIVE methods (Mathematics), *PRECISION (Information retrieval)
Abstract

Abstract: We describe a hybrid Lyapunov solver based on the matrix sign function, where the intensive parts of the computation are accelerated using a graphics processor (GPU) while executing the remaining operations on a general-purpose multi-core processor (CPU). The initial stage of the iteration operates in single-precision arithmetic, returning a low-rank factor of an approximate solution. As the main computation in this stage consists of explicit matrix inversions, we propose a hybrid implementation of Gauß–Jordan elimination using look-ahead to overlap computations on GPU and CPU. To improve the approximate solution, we introduce an iterative refinement procedure that allows to cheaply recover full double-precision accuracy. In contrast to earlier approaches to iterative refinement for Lyapunov equations, this approach retains the low-rank factorization structure of the approximate solution. The combination of the two stages results in a mixed-precision algorithm, that exploits the capabilities of both general-purpose CPUs and many-core GPUs and overlaps critical computations. Numerical experiments using real-world data and a platform equipped with two Intel Xeon QuadCore processors and an Nvidia Tesla C1060 show a significant efficiency gain of the hybrid method compared to a classical CPU implementation. [Copyright &y& Elsevier]

Published
2011
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