Abstract:
The article discusses algorithms and methods of numerical modeling on high-performance computing systems of massive parallelism, ensuring the efficient use of general-purpose processors and graphics accelerators. Using the example of the interaction of the Computational Mathematics and Cybernetics Department of Moscow State University and the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, the article emphasizes the high role of training personnel for the development of supercomputer technologies and solving complex fundamental and applied problems with their help. The article discusses the possibilities of solving such diverse problems, based on fundamental research, as reducing the amount of calculations in the study of continuum mechanics problems and ensuring the possibility of performing fault-tolerant calculations. It is noted that it is necessary to maintain and strengthen the training of highly qualified personnel with fundamental training to solve interdisciplinary problems in the interests of maintaining the competitiveness of key science-intensive industries.
Keywords:computational methods, mathematical modeling, parallel algorithms, highly qualified personnel, hyperbolization of systems of equations, locally adaptive meshes, decomposition of computational meshes, automation of parallel program development, fault tolerance.
Fulltext:
PDF file (1412 kB)