engleski

Multiprocessor modeling technologies for the applied statistical tasks

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. 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.

applied statistical tasks ; Monte Carlo tasks ; multiprocessor modeling

The conference was canceled due the low number of presenters registered for the conference, but the Book of abstracts has been published.