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

Applying the Roofline model for Deep Learning performance optimizations