Parallel processing of multicomponent seismic data

Abstract

An algorithm for processing multicomponent seismic data is proposed. It is implemented in and its performance is measured on the Inparcom cluster. Several improvements are applied to speed up the program and to reduce the filesystem load, in particular, local folders are used to store temporary files of separate processes and indexing is used to speed up navigation through large files.

Algorithms for Parallelizing a Mathematical Model of Forest Fires on Supercomputers and Theoretical Estimates for the Efficiency of Parallel Programs

“…The latter, as a rule, is used in solving problems of the theory of forest fires. At present, MCSs (including cluster computer systems) are widely used in different domains of science [10][11][12][13].…”