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An automated system for program parameters fine tuning in the cloud
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 587-592The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds. The paper presents an overview of the system, a method to measure algorithm's performance in the cloud and numerical results of system's use on several problem sets.
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Pre-decomposition of discrete optimization problems to speed up the branch and bound method in a distributed computing environment
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 719-725The paper presents an implementation of branch and bound algorithm employing coarse grained parallelism. The system is based on CBC (COIN-OR branch and cut) open-source MIP solver and inter-process communication capabilities of Erlang. Numerical results show noticeable speedup in comparison to single-threaded CBC instance.
Keywords: branch and bound algorithm, coarse grained parallelism.Views (last year): 2. Citations: 2 (RSCI). -
An implementation of a parallel global minimum search algorithm with an application to the ReaxFF molecular dynamic force field parameters optimization
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 745-752Views (last year): 1. Citations: 1 (RSCI).Molecular dynamic methods that use ReaxFF force field allow one to obtain sufficiently good results in simulating large multicomponent chemically reactive systems. Here is represented an algorithm of searching optimal parameters of molecular-dynamic force field ReaxFF for arbitrary chemical systems and its implementation. The method is based on the multidimensional technique of global minimum search suggested by R.G. Strongin. It has good scalability useful for running on distributed parallel computers.
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International Interdisciplinary Conference "Mathematics. Computing. Education"