Title :
Parallel numerical asynchronous iterative algorithms: Large scale experimentations
Author :
Charr, Jean-Claude ; Couturier, Raphaël ; Laiymani, David
Author_Institution :
Lab. of Comput. Sci., Univ. of Franche-Comte (LIFC), Belfort, France
Abstract :
This paper presents many typical problems that are encountered when executing large scale scientific applications over distributed architectures. The causes and effects of these problems are explained and a solution for some classes of scientific applications is also proposed. This solution is the combination of the asynchronous iteration model with JACEP2P-V2 which is a fully decentralized and fault tolerant platform dedicated to executing parallel asynchronous applications over volatile distributed architectures. We explain in detail how our approach deals with each of these problems. Then we present two large scale numerical experiments that prove the efficiency and the robustness of our approach.
Keywords :
distributed processing; iterative methods; natural sciences computing; parallel algorithms; software architecture; JACEP2P-V2; asynchronous iteration model; fault tolerant platform; fully decentralized platform; large scale experimentation; large scale scientific application; parallel asynchronous application; parallel numerical asynchronous iterative algorithm; volatile distributed architecture; Computational modeling; Computer architecture; Computer crashes; Concurrent computing; Convergence; Distributed computing; Iterative algorithms; Iterative methods; Laboratories; Large-scale systems; Large scale computing; parallel asynchronous iterative algorithms; volatile environment;
Conference_Titel :
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-3751-1
Electronic_ISBN :
1530-2075
DOI :
10.1109/IPDPS.2009.5161158