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ICASSP
2008
IEEE
15 years 4 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
88
Voted
IAJIT
2011
14 years 5 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 4 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 3 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»
14 years 10 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