Principles of Organizing a Software-analytical System for Parallel Processing of Seismic Data

Abstract

Progress in the development of modern information technologies is directly related to the use of resource-intensive applications in science-intensive research, as well as in industrial applications. Currently, there is an acute problem of analyzing large volumes of geophysical data and increasing the productivity of systems for their study. One of the ways to solve this problem is to use multiprocessor computers and multi-machine computing systems capable of performing parallel, including distributed data processing. The paper presents a description and implementation of a computational model for parallel processing of seismic data based on the LuNA system for the automatic construction of parallel programs.