23 search results - page 2 / 5 » Sparse Matrix-Vector multiplication on FPGAs |
ASAP
2006
IEEE
13 years 8 months ago
2006
IEEE
In this paper, we propose a reconfigurable hardware accelerator for fixed-point-matrix-vector-multiply/add operations, capable to work on dense and sparse matrices formats. The pr...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
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...