Speaker
Prof.
Serhiy Rendziniak
(Ivan Franko National University of Lviv)
Description
Abstract—Peculiarities of the use of parallel computing for the analysis of dynamic systems are studied using the example of the Lotka-Volterra "predator-prey" model. Such relaxation methods as the Jacobi, Gauss-Seidel, SOR and their parallel implementations using Python libraries are considered. The analysis of the efficiency and accuracy of these methods, and the influence of the model parameters on the calculation results, was carried out. A graphical interface for visualization and study of population dynamics has been developed. The obtained results show the potential of parallel computing to accelerate and improve the accuracy of modeling dynamic systems.
Author
Prof.
Serhiy Rendziniak
(Ivan Franko National University of Lviv)
Co-authors
Dr
Dmitro Trushakov
(Central Ukrainian National Technical University)
Dr
Oleksandr Kozlovskyi
(Central Ukrainian National Technical University)
Roman Kholodniak
(Ivan Franko National University of Lviv)
Dr
Vasyl Korud
(Lviv Polytechnic National University)