Computational nanotechnology
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


Comp. nanotechnol.:
Year:
Volume:
Issue:
Page:
Find




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

Computational nanotechnology, 2015, Issue 4, Pages 6–17 (Mi cn47)  
TECHNOLOGY COMPUTATIONAL PROCESSING

Survey of large-scale graph processing models for high perfomance computing systems

A. S. Frolov, A. S. Semenov, A. S. Markov

JSC SRCECT
Full-text PDF (641 kB)
References:
PDF
HTML
Abstract: In the paper a survey of perspective programming models for large-scale graph processing is presented. For analysis the following models have been selected: Parallel Boost Graph Library, Active Pebbles, Grappa, Parallex/HPX-5, and Charm++. Programming models as well as most important aspects of its implementation are presented in the analysis.
Keywords: parallel graph computation, program models, computation models, supercomputers, exascale.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-09368
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. S. Frolov, A. S. Semenov, A. S. Markov, “Survey of large-scale graph processing models for high perfomance computing systems”, Comp. nanotechnol., 2015, no. 4, 6–17
Citation in format AMSBIB
\Bibitem{FroSemMar15}
\by A.~S.~Frolov, A.~S.~Semenov, A.~S.~Markov
\paper Survey of large-scale graph processing models for high perfomance computing systems
\jour Comp. nanotechnol.
\yr 2015
\issue 4
\pages 6--17
\mathnet{http://mi.mathnet.ru/cn47}
\elib{https://elibrary.ru/item.asp?id=25216490}
Linking options:
  • https://www.mathnet.ru/eng/cn47
  • https://www.mathnet.ru/eng/cn/y2015/i4/p6
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computational nanotechnology
    Statistics & downloads:
    Abstract page:125
    Full-text PDF :59
    References:33
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024