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The Monte-Carlo method (stochastic simulation) is the one of the major tools in statistical physics, complex systems science and many other fields and is considered to be the promising computational scheme to run on nearest future exaflop supercomputers with many thousands and even millions of computational cores. We suggest a technique of the distributed stochastic simulation suitable for running...
Quasi-Monte Carlo simulation is a specialized Monte Carlo method which uses quasi-random, or low-discrepancy, numbers as the stochastic parameters. In many applications, this method has proved advantageous compared to the traditional Monte Carlo simulation method, which uses pseudo-random numbers, as it converges relatively quickly, and with a better level of accuracy. We implemented a massively parallelized...
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