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IPPS
2009
IEEE
16 years 1 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
EUROPAR
2009
Springer
16 years 1 months ago
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
While general-purpose homogeneous multi-core architectures are becoming ubiquitous, there are clear indications that, for a number of important applications, a better performance/p...
Eduard Ayguadé, Rosa M. Badia, Francisco D....
ICCS
2009
Springer
16 years 1 months ago
A Note on Auto-tuning GEMM for GPUs
The development of high performance dense linear algebra (DLA) critically depends on highly optimized BLAS, and especially on the matrix multiplication routine (GEMM). This is espe...
Yinan Li, Jack Dongarra, Stanimire Tomov
IPPS
2008
IEEE
16 years 1 months ago
Lattice Boltzmann simulation optimization on leading multicore platforms
We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of searchbased performance optimizatio...
Samuel Williams, Jonathan Carter, Leonid Oliker, J...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
16 years 29 days ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...