Extending PowerPack for Profiling and Analysis of High Performance Accelerator-Based Systems
Accelerators offer a substantial increase in efficiency for high-performance systems offering speedups for computational applications that leverage hardware support for highly-parallel codes. However, the power use of some accelerators exceeds 200 watts at idle which means use at exascale comes at a significant increase in power at a time when we face a power ceiling of about 20 megawatts. Despite the growing domination of accelerator-based systems in the Top500 and Green500 lists of fastest and most efficient supercomputers, there are few detailed studies comparing the power and energy use of common accelerators. In this work, we conduct detailed experimental studies of the power usage and distribution of Xeon-Phi-based systems in comparison to the NVIDIA Tesla and at SandyBridge.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1188926
- Report Number(s):
- PNNL-SA-109092; KJ0402000
- Journal Information:
- Parallel Processing Letters, 24(4):Article No. 144200, Journal Name: Parallel Processing Letters, 24(4):Article No. 144200
- Country of Publication:
- United States
- Language:
- English
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