Abstract
We present a unique approach for integrating research in High Performance Computing (HPC) as well as photovoltaic (PV) solar farming and battery technologies into a container-based compute center designed for a maximum of energy efficiency, performance and extensibility/scalability. We use NVIDIA Jetson TK1 boards to build a considerably dimensioned cluster of 60 low-power GPUs, attach a 7.5 kWp solar farm and a 8 kWh Lithium-Ion battery power supply and integrate everything into a single-container, standalone housing. We demonstrate the success of our system by evaluating the performance and energy efficiency for common versatile dense and sparse linear algebra kernels as well as a full CFD code. By this work we can show, that with current technology, energy consumption-induced follow-up cost of HPC can be reduced to zero.
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Geveler, M., Ribbrock, D., Donner, D., Ruelmann, H., Höppke, C., Schneider, D., … Turek, S. (2017). The ICARUS white paper: A scalable, energy-efficient, solar-powered HPC center based on low power GPUs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10104 LNCS, pp. 737–749). Springer Verlag. https://doi.org/10.1007/978-3-319-58943-5_59
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