Beyond CPU Frequency Scaling for a Fine-grained Energy Control of HPC Systems

Ghislain Landry Tsafack Chetsa; Laurent Lefevre; Jean-Marc Pierson; Patricia Stolf; Georges Da Costa

Beyond CPU Frequency Scaling for a Fine-grained Energy Control of HPC Systems

Ghislain Landry Tsafack Chetsa ^{1, 2} Laurent Lefevre ^{2, 3} Jean-Marc Pierson ⁴ Patricia Stolf ⁴ Georges Da Costa ⁴

1 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms

Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme

2 ENS Lyon - École normale supérieure - Lyon

3 RESO - Protocols and softwares for very high-performance network

Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme

4 IRIT - Institut de recherche en informatique de Toulouse

Abstract : Modern high performance computing subsystems (HPC) - including processor, network, memory, and IO - are provided with power management mechanisms. These include dynamic speed scaling and dynamic resource sleeping. Understanding the behavioral patterns of high performance computing systems at runtime can lead to a multitude of optimization opportunities including controlling and limiting their energy usage. In this paper, we present a general purpose methodology for optimizing energy performance of HPC systems consid- ering processor, disk and network. We rely on the concept of execution vector along with a partial phase recognition technique for on-the-fly dynamic management without any a priori knowledge of the workload. We demonstrate the effectiveness of our management policy under two real-life workloads. Experimental results show that our management policy in comparison with baseline unmanaged execution saves up to 24% of energy with less than 4% performance overhead for our real-life workloads.

Document type :

Conference papers

24th International Symposium on Computer Architecture and High Performance Computing, Oct 2012, New York City, United States. 2012

Domain :

Computer Science [cs] / Distributed, Parallel, and Cluster Computing [cs.DC]

https://hal.inria.fr/hal-00752883
Contributor : Ghislain Landry Tsafack Chetsa <>
Submitted on : Friday, November 16, 2012 - 3:43:08 PM
Last modification on : Wednesday, May 11, 2016 - 1:06:34 AM

sbac-pad-fv.pdf

Files produced by the author(s)

Beyond CPU Frequency Scaling for a Fine-grained Energy Control of HPC Systems

File

Identifiers

Collections

Citation

Export

Share

Metrics

213

188

Contact