34 search results - page 1 / 7 » Parallel Computation of the SVD of a Matrix Product |
134
Voted
PVM
1999
Springer
15 years 8 months ago
1999
Springer
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 ...
113
Voted
IPPS
1999
IEEE
15 years 8 months ago
1999
IEEE
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...
IPPS
2007
IEEE
15 years 10 months ago
2007
IEEE
166
Voted
IPPS
2009
IEEE
15 years 10 months ago
2009
IEEE
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...
134
Voted
SC
1995
ACM
15 years 7 months ago
1995
ACM
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...