10 search results - page 2 / 2 » Sparse Matrices in Matlab*P: Design and Implementation |
FPGA
2005
ACM
13 years 11 months ago
2005
ACM
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
NIPS
2004
13 years 6 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
ISCOPE
1998
Springer
13 years 9 months ago
1998
Springer
The multiple minimum degree (MMD) algorithm and its variants have enjoyed 20+ years of research and progress in generating ll-reducing orderings for sparse, symmetric positive de n...
IPPS
2003
IEEE
13 years 10 months ago
2003
IEEE
The efficient solution of large systems of linear equations represented by sparse matrices appears in many tasks. LU factorization followed by backward and forward substitutions i...
ICCD
2006
IEEE
14 years 2 months ago
2006
IEEE
—Field-Programmable Gate Array (FPGA) technology is characterized by continuous improvements that provide new opportunities in system design. Multiprocessors-ona-Programmable-Chi...