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A Dynamic Work Manager for Heterogeneous Cluster Systems  

Park, Jong-Hyun (School of Electrical and Electronics Engineering, Chung-Ang University)
Kim, Jun-Seong (School of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.6, 2009 , pp. 56-62 More about this Journal
Abstract
Inexpensive high performance computer systems combined with high speed networks and machine independent communication libraries have made cluster computing a viable option for parallel applications. In a heterogeneous cluster environment, efficient resource management is critically important since the computing power of the individual computer system is a significant performance factor when executing applications in parallel. This paper presents a dynamic task manager, called DWM (dynamic work manager). It makes a heterogeneous cluster system fully utilize the different computing power of its individual computer system. We measure the performance of DWM in a heterogeneous cluster environment with several kernel-level benchmark programs and their programming complexity quantitatively. From the experiments, we found that DWM provides competitive performance with a notable reduction in programming effort.
Keywords
Parallel processing; duster computing; Message Passing Interface; Dynamic Work Manager; Programming complexity;
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