Investigating Autonomic Runtime Management Strategies for SAMR Applications

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.