CORR
2011
Springer
13 years 7 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...
ERSA
2010
13 years 10 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...
PPSC
1997
14 years 1 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-...
CSE
2009
IEEE
14 years 3 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 architectur...
PARLE
1994
14 years 4 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...
ICCS
2001
Springer
14 years 4 months ago
2001
Springer
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
NAA
2004
Springer
14 years 5 months ago
2004
Springer
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
HPCC
2005
Springer
14 years 6 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...
ISVLSI
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor suppor...