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EUROPAR
2009
Springer
15 years 3 months ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy
CORR
2008
Springer
162views Education» more  CORR 2008»
14 years 10 months ago
Accelerating Scientific Computations with Mixed Precision Algorithms
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit ...
Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jak...
ACPC
1999
Springer
15 years 2 months ago
Non-standard Parallel Solution Strategies for Distributed Sparse Linear Systems
Abstract. A number of techniques are described for solving sparse linear systems on parallel platforms. The general approach used is a domaindecomposition type method in which a pr...
Yousef Saad, Masha Sosonkina
SC
2009
ACM
15 years 5 months ago
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
Nathan Bell, Michael Garland
FGCS
2008
127views more  FGCS 2008»
14 years 10 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...