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» Monte Carlo methods for matrix computations on the grid
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DAC
2006
ACM
16 years 7 months ago
Statistical timing analysis with correlated non-gaussian parameters using independent component analysis
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
Jaskirat Singh, Sachin S. Sapatnekar
CCGRID
2010
IEEE
15 years 7 months ago
Cooperative Multitasking for GPU-Accelerated Grid Systems
Exploiting the graphics processing unit (GPU) is useful to obtain higher performance with a less number of host machines in grid systems. One problem in GPU-accelerated grid system...
Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi...
DCC
2010
IEEE
16 years 1 months ago
An MCMC Approach to Lossy Compression of Continuous Sources
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
Dror Baron, Tsachy Weissman
RT
2005
Springer
15 years 11 months ago
Importance Resampling for Global Illumination
This paper develops importance resampling into a variance reduction technique for Monte Carlo integration. Importance resampling is a sample generation technique that can be used ...
Justin Talbot, David Cline, Parris K. Egbert
SIBGRAPI
2005
IEEE
15 years 11 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies