Data-Aware Scheduling at Higher scale – DASH

While computing power of supercomputers keeps on increasing at an exponential rate, their capacity to manage data movement experiences some limits. It is expected that this imbalance will be one of the key limitation to the development of future HPC applications. We propose to rethink how I/O is managed in supercomputers. More specifically, the novelty of this project is to account for known HPC application behaviours (periodicity, limited number of concurrent applications) to define static strategies. We expect those strategies can be turned into more efficient dynamic strategies than current strategies.

In this study, we plan to include a dynamicity provision to cope with any uncertain behavior of applications. We also plan to research how to model and include emerging technologies. Finally we plan to explore the importance and impact of reliabilty and energy-efficiency into I/O management strategies.