6 search results - page 1 / 2 » A Comparative Study of Blocking Storage Methods for Sparse M... |
CSE
2009
IEEE
13 years 8 months ago
2009
IEEE
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...
IMCSIT
2010
13 years 2 months ago
2010
Abstract--Recently, we have introduced an approach to multicore computations on sparse matrices using recursive partitioning, called Recursive Sparse Blocks (RSB). In this document...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
PC
2002
13 years 4 months ago
2002
We present a new parallel algorithm to compute an exact triangularization of large square or rectangular and dense or sparse matrices in any field. Using fast matrix multiplicatio...
IPPS
2010
IEEE
13 years 2 months ago
2010
IEEE
To exploit the potential of multicore architectures, recent dense linear algebra libraries have used tile algorithms, which consist in scheduling a Directed Acyclic Graph (DAG) of...