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140
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EUROPAR
2009
Springer
15 years 6 months ago
Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function
Abstract. We investigate the performance of two approaches for matrix inversion based on Gaussian (LU factorization) and Gauss-Jordan eliminations. The target architecture is a cur...
Peter Benner, Pablo Ezzatti, Enrique S. Quintana-O...
152
Voted
PARELEC
2000
IEEE
15 years 5 months ago
Parallel Computing Environments and Methods
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effecti...
Ghassan Fadlallah, Michel Lavoie, Louis-A. Dessain...
IPPS
2000
IEEE
15 years 5 months ago
Developing an Open Architecture for Performance Data Mining
Performance analysis of high performance systems is a difficult task. Current tools have proven successful in analysis tasks but their implementation is limited in several respects...
David B. Pierce, Diane T. Rover
114
Voted
ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
15 years 11 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras
133
Voted
SAG
2004
Springer
15 years 7 months ago
Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS
Bioinformatics applications manage complex biological data stored into distributed and often heterogeneous databases and require large computing power. Among these, protein structu...
Mario Cannataro, Matteo Comin, Carlo Ferrari, Conc...