17 search results - page 2 / 4 » Highly Parallel Sparse Matrix-Matrix Multiplication |
SC
2009
ACM
13 years 11 months ago
2009
ACM
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
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...
SPAA
1998
ACM
13 years 9 months ago
1998
ACM
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Abstract—Set intersection is the core in a variety of problems, e.g. frequent itemset mining and sparse boolean matrix multiplication. It is well-known that large speed gains can...