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» Parallel Computer Workload Modeling with Markov Chains
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SAC
2008
ACM
13 years 9 months ago
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Paul Fearnhead
DSN
2002
IEEE
14 years 3 months ago
Model Checking Performability Properties
Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a...
Boudewijn R. Haverkort, Lucia Cloth, Holger Herman...
CF
2008
ACM
14 years 4 days ago
Cell-SWat: modeling and scheduling wavefront computations on the cell broadband engine
This paper contributes and evaluates a model and a methodology for implementing parallel wavefront algorithms on the Cell Broadband Engine. Wavefront algorithms are vital in sever...
Ashwin M. Aji, Wu-chun Feng, Filip Blagojevic, Dim...
PPOPP
2006
ACM
14 years 4 months ago
A case study in top-down performance estimation for a large-scale parallel application
This work presents a general methodology for estimating the performance of an HPC workload when running on a future hardware architecture. Further, it demonstrates the methodology...
Ilya Sharapov, Robert Kroeger, Guy Delamarter, Raz...
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 5 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli