189 search results - page 17 / 38 » Combining Multiple Kernels by Augmenting the Kernel Matrix |
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ICCS
2001
Springer
15 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...
IPPS
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper we explore the impact of the block shape on blocked and vectorized versions of the Sparse Matrix-Vector Multiplication (SpMV) kernel and build upon previous work by ...
SPAA
1999
ACM
15 years 4 months ago
1999
ACM
Matrix multiplication is an important kernel in linear algebra algorithms, and the performance of both serial and parallel implementations is highly dependent on the memory system...
ASAP
2008
IEEE
15 years 6 months ago
2008
IEEE
Registers in processors generally contain words or, with the addition of multimedia extensions, short vectors of subwords of bytes or 16-bit elements. In this paper, we view the c...
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SAIG
2000
Springer
15 years 3 months ago
2000
Springer
Achieving peak performance in important numerical kernels such as dense matrix multiply or sparse-matrix vector multiplication usually requires extensive, machine-dependent tuning ...