Applying the Roofline model for Deep Learning performance optimizations

Abstract

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.

oneDNN library analysis with roofline model