
RELIABLE AND EFFICIENT PARALLEL COMPUTING ON THE BASE OF MULTIAGENT SYSTEM
Author(s) -
Aleksej Otwagin
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.7.3.531
Subject(s) - computer science , schema (genetic algorithms) , distributed computing , computation , graph , theoretical computer science , parallel computing , architecture , algorithm , machine learning , art , visual arts
Basic principles of reliable parallel computations are considered. The parallel program is represented as a graph computation schema, that executed by unreliable computing system with possible node faults. For organization and optimization of parallel processing a kind of multiagent architecture was used. The proposed solution uses the principles of runtime evolutionary optimization to increase performance characteristics.