19 search results - page 1 / 4 » Parallel sparse matrix-vector and matrix-transpose-vector mu... |
PARLE
1994
13 years 8 months ago
1994
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
HPCC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We improve the performance of sparse matrix-vector multiplication (SpMV) on modern cache-based superscalar machines when the matrix structure consists of multiple, irregu...
ICPP
2008
IEEE
13 years 11 months ago
2008
IEEE
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...
ICPP
2009
IEEE
13 years 11 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 architec...
FPGA
2005
ACM
13 years 10 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...