Algorithms for solving inverse geophysical problems on parallel computing systems |
| |
Authors: | E. N. Akimova D. V. Belousov V. E. Misilov |
| |
Affiliation: | 1. Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, ul. S. Kovalevskoi 16, Yekaterinburg, 620990, Russia 2. Ural Federal University, ul. Mira 19, Yekaterinburg, 620002, Russia
|
| |
Abstract: | For solving inverse gravimetry problems, efficient stable parallel algorithms based on iterative gradient methods are proposed. For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelectrics problems, a parallel matrix sweep algorithm, a square root method, and a conjugate gradient method with preconditioner are proposed. The algorithms are implemented numerically on a parallel computing system of the Institute of Mathematics and Mechanics (PCS-IMM), NVIDIA graphics processors, and an Intel multi-core CPU with some new computing technologies. The parallel algorithms are incorporated into a system of remote computations entitled “Specialized Web-Portal for Solving Geophysical Problems on Multiprocessor Computers.” Some problems with “quasi-model” and real data are solved. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|