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FGCS
2008
127views more  FGCS 2008»
13 years 10 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...
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 10 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman
SIGGRAPH
1992
ACM
14 years 2 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance
TPDS
2010
135views more  TPDS 2010»
13 years 9 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat
FPL
2010
Springer
139views Hardware» more  FPL 2010»
13 years 8 months ago
Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA
A Multivariate Gaussian random number generator (MVGRNG) is an essential block for many hardware designs, including Monte Carlo simulations. These simulations are usually used in a...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...