Numerical methods and programming
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Num. Meth. Prog.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Numerical methods and programming, 2011, Volume 12, Issue 1, Pages 74–76 (Mi vmp169)  
Вычислительные методы и приложения

Comparison of iterative methods for solving sparse linear systems in filtration problems on computing systems with distributed memory

K. Yu. Bogachev, Ya. V. Zhabitskiy, A. A. Klimovsky, A. R. Mirgasimov, A. E. Semenko

M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (199 kB)
Abstract: The performance and parallel scalability of BiCGSTAB, ORTOMIN and GMRES (including QGMRES and DQGMRES) algorithms are compared for SMP systems as well as for distributed memory and hybrid computing systems. The test procedures are conducted for nonsymmetric sparse systems of linear equations.
Keywords: high-performance computing; hybrid MPI-multithread programming; iterative methods; BiCGSTAB; ORTHOMIN; GMRES; MPI.
Document Type: Article
UDC: 519.683.4
Language: Russian
Citation: K. Yu. Bogachev, Ya. V. Zhabitskiy, A. A. Klimovsky, A. R. Mirgasimov, A. E. Semenko, “Comparison of iterative methods for solving sparse linear systems in filtration problems on computing systems with distributed memory”, Num. Meth. Prog., 12:1 (2011), 74–76
Citation in format AMSBIB
\Bibitem{BogZhaKli11}
\by K.~Yu.~Bogachev, Ya.~V.~Zhabitskiy, A.~A.~Klimovsky, A.~R.~Mirgasimov, A.~E.~Semenko
\paper Comparison of iterative methods for solving sparse linear systems in filtration
problems on computing systems with distributed memory
\jour Num. Meth. Prog.
\yr 2011
\vol 12
\issue 1
\pages 74--76
\mathnet{http://mi.mathnet.ru/vmp169}
Linking options:
  • https://www.mathnet.ru/eng/vmp169
  • https://www.mathnet.ru/eng/vmp/v12/i1/p74
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Numerical methods and programming
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024