Other Open Access
ENERGETIC- Energy-aware heterogeneous computing at scale
Bane, Michael; Bhowmik, Deepayan; Brown, Oliver; Quinn, Jamie
Current, leading-edge high performance computing (HPC) systems are often heterogeneous, comprised of combinations of multiple compute units and accelerators, including (but not limited to) CPUs, GPUs and FPGAs. HPC is a significant contributor to energy usage. However, the energy-to-solution varies between these architectures. In terms of minimising energy consumption, this choice of possible architectures presents various challenges to HPC managers and users.
Files
(217.4 kB)
| Name | Size | |
|---|---|---|
|
Team Energetic (1).pdf
md5:c142654d1af318e1f4c9825c797883c0 |
217.4 kB | Download |
75
50
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 75 | 75 |
| Downloads | 50 | 50 |
| Data volume | 10.9 MB | 10.9 MB |
| Unique views | 59 | 59 |
| Unique downloads | 46 | 46 |
Indexed in
- Publication date:
- July 1, 2022
- DOI:
-
- Grants:
-
UK Research and Innovation:
- Net-Zero Digital Research Infrastructure Scoping (NE/W007134/1)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International