Enhancing Prediction on Non-dedicated Clusters
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
Resource Matching in Non-dedicated Multicluster Environments
High Performance Computing for Computational Science - VECPAR 2008
Proceedings of the Conference on Design, Automation and Test in Europe
Tuning application in a multi-cluster environment
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
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When building a cost-effective high-performance parallel processing system, a performance model is a useful tool for exploring the design space and examining various parameters. However, performance analysis in such systems has proven to be a challenging task that requires the innovative performance analysis tools and methods to keep up with the rapid evolution and ever increasing complexity of such systems. To this end, we propose an analytical model for heterogeneous multi-cluster systems. The model takes into account stochastic quantities as well as network heterogeneity in bandwidth and latency in each cluster. Also, blocking and non-blocking network architecture model is proposed and are used in performance analysis of the system. The message latency is used as the primary performance metric. The model is validated by constructing a set of simulators to simulate different types of clusters, and by comparing the modeled results with the simulated ones.