Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Early performance evaluation of a "Nehalem" cluster using scientific and engineering applications
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
International Journal of High Performance Computing Applications
The structural simulation toolkit
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
The IBM Blue Gene/Q interconnection network and message unit
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
An ISO-Energy-Efficient Approach to Scalable System Power-Performance Optimization
CLUSTER '11 Proceedings of the 2011 IEEE International Conference on Cluster Computing
A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures
IPDPS '13 Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing
| Hi-index | 0.00 |
It is expected that scientific applications executing on future large-scale HPC must be optimized not only in terms of performance, but also in terms of power consumption. As power and energy become increasingly constrained resources, researchers and developers must have access to tools that will allow for accurate prediction of both performance and power consumption. Reasoning about performance and power consumption in concert will be critical for achieving maximum utilization of limited resources on future HPC systems. To this end, we present a unified performance and power model for the Nek-Bone mini-application developed as part of the DOE's CESAR Exascale Co-Design Center. Our models consider the impact of computation, point-to-point communication, and collective communication individually and quantitatively predict their impact on both performance and energy efficiency. Further, these models are demonstrated to be accurate on currently available HPC system architectures. In this paper, we present our modeling methodology and performance and power models for the Nek-Bone mini-application. We present validation results that indicate the accuracy of these models.