Document Type

Conference Proceeding

Language

eng

Format of Original

12 p.

Publication Date

5-2011

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Source Publication

2011 IEEE International Parallel & Distributed Processing Symposium (IPDPS)

Source ISSN

1063-6374

Original Item ID

doi: 10.1109/IPDPS.2011.22

Abstract

Future large scale high performance supercomputer systems require high energy efficiency to achieve exaflops computational power and beyond. Despite the need to understand energy efficiency in high-performance systems, there are few techniques to evaluate energy efficiency at scale. In this paper, we propose a system-level iso-energy-efficiency model to analyze, evaluate and predict energy-performance of data intensive parallel applications with various execution patterns running on large scale power-aware clusters. Our analytical model can help users explore the effects of machine and application dependent characteristics on system energy efficiency and isolate efficient ways to scale system parameters (e.g. processor count, CPU power/frequency, workload size and network bandwidth) to balance energy use and performance. We derive our iso-energy-efficiency model and apply it to the NAS Parallel Benchmarks on two power-aware clusters. Our results indicate that the model accurately predicts total system energy consumption within 5% error on average for parallel applications with various execution and communication patterns. We demonstrate effective use of the model for various application contexts and in scalability decision-making

Comments

Accepted version. Published as part of the proceedings of the conference, Iso-energy-efficiency: An Approach to Power-Constrained Parallel Computation, 2011. DOI. © 2011 Institute of Electrical and Electronics Engineers (IEEE). Used with permission.

Download

Share

COinS