Monte Carlo PCA for Parallel Analysis (management practices)
Synchronous Parallel Kinetic Monte Carlo
... synchronous, parallel generalization of the rejection-free n-fold kMC method of Bortz, Kalos and Lebowitz [10] (herein referred to as BKL for ...potential parallel performance; secondly, we demonstrate ...
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Parallel Markov Chain Monte Carlo
... of parallel processing, the ideas and methods underpinning Markov Chain Monte Carlo, followed by the MCMC method itself and a discussion of how and where it may be ...using parallel processing ...
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Structured parallel programming for Monte Carlo Tree Search
... In this chapter 1 , we investigate how to parallelize irregular and unbalanced tasks efficiently on the Xeon Phi using MCTS. MCTS performs a search process based on a large number of random samples in the search space. ...
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Optimization of a parallel Monte Carlo method for linear algebra problems
... of execution time. In order for a program to be efficient, programmers must minimize the number of memory access. A major change applied within the Monte Carlo process was carried out within this context. ...
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Parallel cluster labeling for large-scale Monte Carlo simulations
... Cambridge, MA 02142. February 14, 1995 ABSTRACT We present an optimized version of a cluster labeling algorithm previously introduced by the authors. This algorithm is well suited for large-scale Monte ...
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Monte Carlo Schedule Risk Analysis
... of Monte Carlo Results What is the chance that the project will be on time and within budget Monte Carlo helps us answer this very important ...
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Synchronous parallel kinetic Monte Carlo for continuum diffusion-reaction systems
... This may result in poor efficiency and a large communications overhead that is seen to grow logarithmically with the number of pro- cessors These limitations can be partially mitigated [r] ...
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Accelerating Markov chain Monte Carlo via parallel predictive prefetching
... Hastings in a way that maps naturally to prefetching schemes. Next, we describe our predic- tive prefetching scheme, where we adaptively adjust speculation based not only on the local average proposal acceptance rate – ...
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A Parallel Quasi-Monte Carlo Method for Solving Systems of Linear Equations
... a parallel quasi-Monte Carlo method for solving general sparse systems of linear algebraic ...our parallel implementation we use disjoint contiguous blocks of quasiran- dom numbers extracted ...
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THERMODYNAMIC PROPERTIES OF POLYPEPTIDE CHAINS. PARALLEL TEMPERING MONTE CARLO SIMULATIONS
... It was shown that the formation of α-helices was marginal when no local preference of forming the helices was present. The interplay between long- distance tertiary interactions and a local helical potential during the ...
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Monte Carlo analysis used for Contingency estimating.
... ABSTRACT: Risk management is a crucial component of effective project execution in general, and of project control in particular. If we do not identify risks, define the likelihood and impact of each and take action to ...
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Theory, Analysis and Implementation of Wavelet Monte Carlo.
... However, even with such great success, these Fourier analysis (FA) based algorithms faced one big issue - they were using the same window function for an entire signal. In the late 1970s, Morlet was faced with the ...
201
Four essays on sequential Monte Carlo and quasi-Monte Carlo methods
... sequential Monte Carlo (SMC) ...Using Monte Carlo simulations, we provide strong evidence regarding the stat- istical performances of the SMC sampler as well as some new insights regarding the ...
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CiteSeerX — Analysis of Exchange Ratio for Exchange Monte Carlo Method Abstract — The exchange Monte Carlo method was proposed
... Exchange Monte Carlo Method Kenji Nagata, and, Sumio Watanabe, Member, IEEE Abstract— The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte ...
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Domain Decomposition Methods for Parallel Laser-Tissue Models with Monte Carlo Transport
... use Monte Carlo transport meth- ods presents interesting ...The Monte Carlo transport package may have to operate with other packages that have different optimal domain decompositions for a ...
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New quantum Monte Carlo algorithms to efficiently utilize massively parallel computers
... real constants, and the eigenfunctions can be chosen to be real functions. This prop- erty greatly aids in numerically solving the Schr¨ odinger equation. For a “simple” case such as benzene, C 6 H 6 , the differential ...
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Performant Hybrid and Parallel Domain Decomposed Monte Carlo Methods for Radiation Transport.
... Numerical results include the new Shift capabilities applied to two representative test cases: a shield- ing dogleg duct problem and a small modular reactor(SMR) problem. We show that the new approach cheaply and ...
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Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data
... large. Parallel computing is widely ...in Monte Carlo algorithm (SAMC), a very sophisticated algorithm in theory and applications, can avoid getting trapped into local optima and produce more ...
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Parallel sequential monte carlo for efficient density combination: The DeCo MATLAB toolbox
... 4. Differences between CPU and GPU GPUs can execute calculations in single and double precision as defined by the IEEE 754 standard ( IEEE Computer Science 2008 ). Single precision numbers are half the size of double ...
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Reliability analysis of distribution systems with photovoltaic generation using a power flow simulator and a parallel Monte Carlo approach
... a Monte Carlo approach for reliability assessment of distribution systems with distributed generation using parallel ...the analysis of the test system during one ...
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