14 search results - page 1 / 3 » Blocked-based sparse matrix-vector multiplication on distrib... |
ICPP
2008
IEEE
14 years 1 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
14 years 1 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...
HPCC
2005
Springer
14 years 13 days 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...
ERSA
2010
13 years 4 months ago
2010
Cache-based, general purpose CPUs perform at a small fraction of their maximum floating point performance when executing memory-intensive simulations, such as those required for sp...
PARLE
1994
13 years 10 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...