Sciweavers

4 search results - page 1 / 1
» Towards dense linear algebra for hybrid GPU accelerated many...
Sort
View
PC
2010
105views Management» more  PC 2010»
13 years 7 months ago
Towards dense linear algebra for hybrid GPU accelerated manycore systems
Stanimire Tomov, Jack Dongarra, Marc Baboulin
PPOPP
2009
ACM
14 years 10 months ago
Solving dense linear systems on platforms with multiple hardware accelerators
In a previous paper we show how the FLAME methods and tools provide a solution to compute dense dense linear algebra operations on a multi-GPU platform with reasonable performance...
Enrique S. Quintana-Ortí, Francisco D. Igua...
EUROPAR
2009
Springer
14 years 2 months ago
Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function
Abstract. We investigate the performance of two approaches for matrix inversion based on Gaussian (LU factorization) and Gauss-Jordan eliminations. The target architecture is a cur...
Peter Benner, Pablo Ezzatti, Enrique S. Quintana-O...
ASPLOS
2009
ACM
14 years 10 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards