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» Monte Carlo methods for matrix computations on the grid
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DAC
2006
ACM
15 years 10 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
14 years 10 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
15 years 4 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 3 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 3 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