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» Monte Carlo methods for matrix computations on the grid
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95
Voted
DAC
2010
ACM
14 years 10 months ago
QuickYield: an efficient global-search based parametric yield estimation with performance constraints
With technology scaling down to 90nm and below, many yield-driven design and optimization methodologies have been proposed to cope with the prominent process variation and to incr...
Fang Gong, Hao Yu, Yiyu Shi, Daesoo Kim, Junyan Re...
101
Voted
IPPS
2008
IEEE
15 years 4 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
MP
2006
107views more  MP 2006»
14 years 9 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
EAGC
2003
Springer
15 years 2 months ago
Job Scheduling and Resource Management Techniques in Economic Grid Environments
Abstract. In this paper, we analyze the problem of grid resource brokering in the presence of economic information about the price of resources. We examine in detail the main tasks...
Rafael Moreno, Ana B. Alonso-Conde
76
Voted
BMVC
2000
14 years 11 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green