Computational Technologies : : Advanced Topics / / ed. by Petr N. Vabishchevich.

• Superior document: Title is part of eBook package: De Gruyter DG Plus eBook-Package 2015
• VerfasserIn: Afanasyeva, Nadeshda,; Antonov, Mikhail Yu.,; Borisov, Victor S.,; Grigoriev, Aleksander V.,; Kolesov, Alexandr E.,; Popov, Petr A.,; Sirditov, Ivan K.,; Vasilyeva, Maria V.,; Zakharov, Petr E.,
• MitwirkendeR: Afanasyeva, Nadezhda M.,; Antonov, Mikhail Yu.,; Borisov, Victor S.,; Churbanov, Aleksandr G.,; Grigoriev, Aleksandr V.,; Kolesov, Alexandr E.,; Popov, Petr A.,; Sirditov, Ivan K.,; Vabishchevich, Petr N.,; Vasilieva, Maria V.,; Zakharov, Petr E.,
• HerausgeberIn: Vabishchevich, Petr N.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2014]; ©2015
• Year of Publication: 2014
• Language: English
• Series: De Gruyter Textbook
• Physical Description: 1 online resource (266 p.)
• Other title: Frontmatter --; List of contributors --; Contents --; Preface --; Introduction --; 1. Architecture of parallel computing systems --; 2. Multi-threaded programming --; 3. Essentials of OpenMP --; 4. MPI technology --; 5. ParaView: An efficient toolkit for visualizing large datasets --; 6. Tools for developing parallel programs --; 7. Applied software --; 8. Geometry generation and meshing --; 9. PETSc for parallel solving of linear and nonlinear equations --; 10. The FEniCS project --; 11 Numerical study of applied problems --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110359961; 9783110700985; 9783110369526; 9783110370355
• DOI: 10.1515/9783110359961
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Petr N. Vabishchevich.

This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.