Investigating Autonomic Runtime Management Strategies for SAMR Applications
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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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- Investigating Autonomic Runtime Management Strategies for SAMR Applications
International Journal of Parallel Programming
Volume 33, Issue 2-3 , pp 247-259
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers-Plenum Publishers
- Additional Links
- GridARM autonomic runtime management framework
- structured adaptive mesh refinement
- application/system sensitive reactive and proactive partitioning.
- Industry Sectors
- Author Affiliations
- 1. Department of Electrical and Computer Engineering, Rutgers University, 94 Brett Road, Piscataway, NJ, 08854, USA
- 2. Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway, Tucson, AZ, 85721, USA