Other Open Access
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.