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» Recognizing Balanceable Matrices
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92
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ICCS
2009
Springer
15 years 6 months ago
Fast Conjugate Gradients with Multiple GPUs
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
Ali Cevahir, Akira Nukada, Satoshi Matsuoka
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
15 years 6 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Gustavo Poli, José Hiroki Saito, Joã...
NETWORKING
2008
15 years 1 months ago
Adaptive Multi-topology IGP Based Traffic Engineering with Near-Optimal Network Performance
In this paper we present an intelligent multi-topology IGP (MT-IGP) based intra-domain traffic engineering (TE) scheme that is able to handle unexpected traffic fluctuations with n...
Ning Wang, Kin-Hon Ho, George Pavlou
FGCS
2008
127views more  FGCS 2008»
14 years 11 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...
104
Voted
PC
2010
101views Management» more  PC 2010»
14 years 6 months ago
An efficient parallel implementation of the MSPAI preconditioner
We present an efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class of preconditioners based on Frobenius norm mi...
Thomas Huckle, A. Kallischko, A. Roy, M. Sedlacek,...