Exploring the performance and mapping of HPC applications to platforms in the cloud

Abstract

This paper presents a scheme to optimize the mapping of HPC applications to a set of <i>hybrid</i> dedicated and cloud resources. First, we characterize application performance on dedicated clusters and cloud to obtain application signatures. Then, we propose an algorithm to match these signatures to resources such that performance is maximized and cost is minimized. Finally, we show simulation results revealing that in a concrete scenario our proposed scheme reduces the cost by 60% at only 10-15% performance penalty vs. a non optimized configuration. We also find that the execution overhead in cloud can be minimized to a negligible level using thin hypervisors or OS-level containers.

DOI: 10.1145/2287076.2287093

Extracted Key Phrases

4 Figures and Tables

Cite this paper

@inproceedings{Gupta2012ExploringTP, title={Exploring the performance and mapping of HPC applications to platforms in the cloud}, author={Abhishek Gupta and Laxmikant V. Kal{\'e} and Dejan S. Milojicic and Paolo Faraboschi and Richard Kaufmann and Verdi March and Filippo Gioachin and Chun Hui Suen and Bu-Sung Lee}, booktitle={HPDC}, year={2012} }