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CATA
2010
13 years 6 months ago
Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication - Preliminary Considerations
Computations with sparse matrices on "multicore cache based" computers are affected by the irregularity of the problem at hand, and performance degrades easily. In this ...
Michele Martone, Salvatore Filippone, Salvatore Tu...
CISS
2008
IEEE
13 years 11 months ago
On sparse representations of linear operators and the approximation of matrix products
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
Mohamed-Ali Belabbas, Patrick J. Wolfe
SC
1995
ACM
13 years 8 months ago
Parallel Matrix-Vector Product Using Approximate Hierarchical Methods
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...
Ananth Grama, Vipin Kumar, Ahmed H. Sameh
ICPP
2008
IEEE
13 years 11 months ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
13 years 10 months ago
Sparse Matrix-Vector multiplication on FPGAs
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...
Ling Zhuo, Viktor K. Prasanna