Characteristics of parallel execution of multiple date algorithms.

Abstract

This article focuses on issues related to the increase in efficiency of computing technologies over the last few years, both the development of multi-core processors and the wide spread of cluster systems, including "cloud" systems. Parallelization of individual analysis algorithms and their further optimization are extremely important for today's scientists. and suggestions and recommendations for the development of general approaches to the parallelization of algorithms are given.