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» Parallel Computation of the SVD of a Matrix Product
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PVM
1999
Springer
13 years 11 months ago
Parallel Computation of the SVD of a Matrix Product
In this paper we study a parallel algorithm for computing the singular value decomposition (SVD) of a product of two matrices on message passing multiprocessors. This algorithm is ...
José M. Claver, Manuel Mollar, Vicente Hern...
IPPS
1999
IEEE
13 years 11 months ago
A Parallel Algorithm for Singular Value Decomposition as Applied to Failure Tolerant Manipulators
The system of equations that govern kinematically redundant manipulators is commonly solved by nding the singular value decomposition (SVD) of the corresponding Jacobian matrix. T...
Tracy D. Braun, Anthony A. Maciejewski, Howard Jay...
IPPS
2007
IEEE
14 years 1 months ago
Revisiting Matrix Product on Master-Worker Platforms
Jack Dongarra, Jean-Francois Pineau, Yves Robert, ...
IPPS
2009
IEEE
14 years 2 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
SC
1995
ACM
13 years 11 months ago
Parallel Matrix-Vector Product Using Approximate Hierarchical Methods
Matrix-vector products (mat-vecs) form the core of iterative methods used for solving dense linear systems. Often, these systems arise in the solution of integral equations used i...
Ananth Grama, Vipin Kumar, Ahmed H. Sameh