RUS  ENG
Full version
JOURNALS // Computational nanotechnology // Archive

Comp. nanotechnol., 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

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.



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024