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Electrical cost savings and clean energy usage potential for HPC workloads

Electrical cost savings and clean energy usage potential for HPC workloads,10.1109/ISSST.2011.5936911,David Aikema,Rob Simmonds

Electrical cost savings and clean energy usage potential for HPC workloads   (Citations: 1)
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Data centres containing high-performance comput- ing (HPC) clusters may be able to coordinate with the operation of wind farms for mutual benefit. Large data centres consume megawatts of power, typically accounting for a majority of life cycle carbon emissions and a significant portion of the total cost of ownership. We ran simulations to explore the potential for data centres to adapt to dynamic electrical prices, variation in carbon intensity within an electrical grid, or the availability of local renewables. Using workloads from the Parallel Workloads Archive alongside real-world pricing data, we demonstrate potential savings on the cost of electricity ranging typically between 10-50%. Adaptation to the variation in the electrical grid carbon intensity was not as successful, but adaptation to the availability of local renewables showed potential to significantly increase their use. In one example the fraction of power obtained from a local wind installation increased by 10-80%. Index Terms—Environmental Economics, Adaptive Schedul- ing, High performance computing, Simulation.
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    • ...This work looked at the density of CPU hours requested in each time period, using a time-step approach, determining what the optimum arrangement would be. It also provided no differentiation between different classes of jobs [17]...

    David Aikemaet al. Energy-cost-aware scheduling of HPC workloads

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