Author: Chandra Sumir Parashar Manish Yang Jingmei Zhang Yeliang Hariri Salim
Publisher: Springer Publishing Company
ISSN: 0885-7458
Source: International Journal of Parallel Programming, Vol.33, Iss.2-3, 2005-06, pp. : 247-259
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Abstract
Dynamic structured adaptive mesh refinement (SAMR) techniques along with the emergence of the computational Grid offer the potential for realistic scientific and engineering simulations of complex physical phenomena. However, the inherent dynamic nature of SAMR applications coupled with the heterogeneity and dynamism of the underlying Grid environment present significant research challenges. This paper presents application/system sensitive reactive and proactive partitioning strategies that form a part of the GridARM autonomic runtime management framework. An evaluation using different SAMR kernels and system workloads is presented to demonstrate the improvement in overall application performance.
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