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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.

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