Multiprocessor Modeling Technologies for the Applied Statistical Tasks
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Дата
2019
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Видавець
International Academy Journal Web of Scholar. 3(33). doi: 10.31435/rsglobal_wos/31032019/6386
Анотація
The work considers the multiprocessors technologies of modeling for Monte
Carlo tasks. It is shown that only application of the modern super productive
systems permitted the new way to realize the mechanism of corresponding
partitioned computations. The calculating schemes that supply to provide the
increase of productivity and calculations' speed effectiveness are shown. In
this article the modified algorithm of parallel calculations is offered based on
the Monte Carlo method. Here every calculator has its own random
generator of numbers. Thus intermediate calculations come true
independently on the different, separately taken blades of cluster,
"calculators". The results are already processed on some separately taken
master -blades ("analyzer"). This allows to get rid from the necessary
presence of router-communicator between the random generator of numbers
and "calculator". Obviously, that such decision allows to accelerate the
process of calculations. It is shown that the parallel algorithms of the Monte
Carlo method are stable to any input data and have the maximal parallel
form and, thus, minimal possible time of realization using the parallel
computing devices. If it is possible to appoint one processor to one knot of
calculation. Thus the realization of calculations becomes possible in all knots
of net area in parallel and simultaneously
Опис
Ключові слова
technology, modeling tasks Monte Carlo, distributed computing