Applying the Roofline model for Deep Learning performance optimizations

23 Sep 2020 · Jacek Czaja, Michal Gallus, Joanna Wozna, Adam Grygielski, Luo Tao ·

In this paper We present a methodology for creating Roofline models automatically for Non-Unified Memory Access (NUMA) using Intel Xeon as an example. Finally, we present an evaluation of highly efficient deep learning primitives as implemented in the Intel oneDNN Library.

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Applying the Roofline model for Deep Learning performance optimizations

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