abawajy-performanceanalysis-2005.pdf (215.42 kB)
Performance analysis of heterogeneous multi-cluster systems
conference contribution
posted on 2005-01-01, 00:00 authored by B Javadi, M Akbari, Jemal AbawajyJemal AbawajyWhen 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.
History
Event
International Conference on Parallel Processing Workshops (2005 : Oslo, Norway)Pagination
493 - 500Publisher
IEEE Computer SocietyLocation
Oslo, NorwayPlace of publication
Los Alamitos, Calif.Start date
2005-06-14End date
2005-06-17ISSN
1530-2016ISBN-13
9780769523811ISBN-10
0769523811Language
engNotes
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.Publication classification
E1 Full written paper - refereedCopyright notice
2005, IEEETitle of proceedings
Proceedings of the 2005 international conference on parallel processing workshopsUsage metrics
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