Unified Performance and Power Modeling of Scientific Workloads
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
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1110470
- Report Number(s):
- PNNL-SA-99736; KJ0402000
- Resource Relation:
- Conference: E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing, November 17-21, 2013, Denver, Colorado, Article No. 4
- Country of Publication:
- United States
- Language:
- English
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