A benchmark-driven modelling approach for evaluating deployment choices on a multicore architecture

Osprey, A., Riley, G., Manjunathaiah, M. and Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 (2013) A benchmark-driven modelling approach for evaluating deployment choices on a multicore architecture. In: Proceedings of the International Conference on Parallel & Distributed Processing Techniques & Application (PDPTA'13), July 22-25 2013, Las Vegas.

Abstract/Summary

The complexity of current and emerging high performance architectures provides users with options about how best to use the available resources, but makes predicting performance challenging. In this work a benchmark-driven performance modelling approach is outlined that is appro- priate for modern multicore architectures. The approach is demonstrated by constructing a model of a simple shallow water code on a Cray XE6 system, from application-specific benchmarks that illustrate precisely how architectural char- acteristics impact performance. The model is found to recre- ate observed scaling behaviour up to 16K cores, and used to predict optimal rank-core affinity strategies, exemplifying the type of problem such a model can be used for.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/34184
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
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