Based on the needs for testing the performance of the created system at the Faculty of Technical Sciences, Department of Electrical Measurements, we designed and developed a simulation model of the existing system of stochastic flash A/D converter. A simulation was performed using the MATLAB programming language, which had the task of simulating the operation of the existing system, as well as a combination of various effects on it.
Due to the need to simulate a large number of data, it was necessary to perform model optimization and adjustment to the available computer configurations, as well as to store the obtained data, parameters, results and graphics.Developed system is projected to easily simulate any process which is mathematically described and in this simulation it will use completely available computing resources with Big Data Analysis and Parallel Computing algorithms for optimized results. Further development of this system allowed it to be used for training of Machine Learning systems as well as improvement of computing capabilities of current systems for solving problems such as: Traveling salesman, Bin packing problem, multidimensional regression etc.