A Deep-Learning Approach Towards Auto-Tuning CFD Codes

This proposal seeks to study, analyze, and synthesis deep-learning approaches for heterogeneous computing devices that expose the various parameters as "knobs" that can be tuned via deep learning to optimize for the metric of interest, whether it be performance, power, or energy efficiency.

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