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» Introduction to Monte Carlo simulation
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QUESTA
2007
117views more  QUESTA 2007»
13 years 10 months ago
Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
Sandeep Juneja
FPL
2010
Springer
139views Hardware» more  FPL 2010»
13 years 9 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...
CLUSTER
2009
IEEE
13 years 8 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
ICCAD
2005
IEEE
97views Hardware» more  ICCAD 2005»
14 years 7 months ago
DiCER: distributed and cost-effective redundancy for variation tolerance
— Increasingly prominent variational effects impose imminent threat to the progress of VLSI technology. This work explores redundancy, which is a well-known fault tolerance techn...
Di Wu, Ganesh Venkataraman, Jiang Hu, Quiyang Li, ...
SC
1991
ACM
14 years 2 months ago
Performance results for two of the NAS parallel benchmarks
Two problems from the recently published “NAS Parallel Benchmarks” have been implemented on three advanced parallel computer systems. These two benchmarks are the following: (...
David H. Bailey, Paul O. Frederickson