Short Paper: Exploring the Performance and Mapping of HPC Applications to Platforms in the Cloud
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2012
Publication Type: Paper
Repository URL:
Abstract
This paper presents a scheme to optimize the mapping of
HPC applications to a set of hybrid dedicated and cloud
resources. First, we characterize application performance
on dedicated clusters and cloud to obtain application sig-
natures. 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 re-
duces the cost by 60% at only 10-15% performance penalty
vs. a non optimized configuration. We also find that the ex-
ecution overhead in cloud can be minimized to a negligible
level using thin hypervisors or OS-level containers.
People
- Abhishek Gupta
- Laxmikant Kale
- Dejan Milojicic
- Paolo Faraboschi
- Filippo Gioachin
- Verdi March
- Chun Hui Suen
- Bu-Sung Lee
- Richard Kaufmann
Research Areas