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IPPS
2009
IEEE
13 years 11 months ago
Exploring the effect of block shapes on the performance of sparse kernels
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 ...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
ICPP
2009
IEEE
13 years 11 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—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...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
CF
2006
ACM
13 years 8 months ago
The potential of the cell processor for scientific computing
The slowing pace of commodity microprocessor performance improvements combined with ever-increasing chip power demands has become of utmost concern to computational scientists. As...
Samuel Williams, John Shalf, Leonid Oliker, Shoaib...
CDES
2006
118views Hardware» more  CDES 2006»
13 years 6 months ago
Improving the System Performance by a Dynamic File Prediction Model
As the speed gap between CPU and I/O is getting wider and wider, I/O latency plays a more important role to the overall system performance than it used to be. Prefetching consecut...
Tsozen Yeh, Joseph Arul, Kuo-Hsin Tien, I-Fan Chen...
ARCS
2009
Springer
13 years 11 months ago
Improving Memory Subsystem Performance Using ViVA: Virtual Vector Architecture
The disparity between microprocessor clock frequencies and memory latency is a primary reason why many demanding applications run well below peak achievable performance. Software c...
Joseph Gebis, Leonid Oliker, John Shalf, Samuel Wi...