20 search results - page 1 / 4 » Implementing sparse matrix-vector multiplication on throughp... |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We propose different implementations of the sparse matrix
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...
PPSC
1997
13 years 6 months ago
1997
Sparse matrix-vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors. This paper describes techniques that increase instruction-...
CATA
2010
13 years 6 months ago
2010
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 ...
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...