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ICASSP
2008
IEEE
15 years 9 months ago
Non-negative sparse image coder via simulated annealing and pseudo-inversion
We propose a sparse non-negative image coding based on simulated annealing and matrix pseudo-inversion. We show that sparsity and non-negativity are both important to obtain part-...
Ramin Pichevar, Jean Rouat
IAJIT
2011
14 years 9 months ago
Blocked-based sparse matrix-vector multiplication on distributed memory parallel computers
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
Rukhsana Shahnaz, Anila Usman
ISCA
2007
IEEE
114views Hardware» more  ISCA 2007»
15 years 9 months ago
Matrix scheduler reloaded
From multiprocessor scale-up to cache sizes to the number of reorder-buffer entries, microarchitects wish to reap the benefits of more computing resources while staying within po...
Peter G. Sassone, Jeff Rupley, Edward Brekelbaum, ...
ICCSA
2003
Springer
15 years 8 months ago
Coarse-Grained Parallel Matrix-Free Solution of a Three-Dimensional Elliptic Prototype Problem
The finite difference discretization of the Poisson equation in three dimensions results in a large, sparse, and highly structured system of linear equations. This prototype prob...
Kevin P. Allen, Matthias K. Gobbert
JPDC
2008
135views more  JPDC 2008»
15 years 2 months ago
Parallel block tridiagonalization of real symmetric matrices
Two parallel block tridiagonalization algorithms and implementations for dense real symmetric matrices are presented. Block tridiagonalization is a critical pre-processing step for...
Yihua Bai, Robert C. Ward