Performance analysis of CUDA, OpenACC and OpenMP programming models on TESLA V100 GPU
International Conference on Computer Simulation in Physics and beyond (CSP 2020) 12-16 October 2020, Moscow, Russia
Vol. 1740. , IOP Publishing, 2021
Распараллеленная самообучающаяся система поддержки принятия решений на генетических алгоритмах и нейронных сетях
Системный администратор 2014 № 9 С. 88-92
This paper describes aspects of development of decision support system based on neural networks and a genetic algorithm. We justify the use of general-purpose computing on graphics processing units (GPGPU) for our decision support system. Example of CUDA successful application to increase computing performance of the system in question is presented. ...
Added: September 12, 2014
Промышленные АСУ и контроллеры 2013 № 7 С. 37-45
In this article we ground some advantages of the evolutionary approach to the solution of problems of decision support system development. The most popular methods of forecasting and detection of dependences are considered. Advantages of use of neural networks to forecast and to determine of dependences between parameters of systems are given. Advantages of interval ...
Added: November 29, 2013
Чебышевский сборник 2012 Т. 13 № 2 (42) С. 91-105
We consider different parallel algortihms for operations in prime fields and their applications for operations on points of elliptic curves. The work provides results for implementations of these algorithms on NVIDIA graphical processors. ...
Added: February 25, 2013