I am trying to understand how "proclist" works with KMP_AFFINITY. I run a benchmark with following environment variables:
In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
This article describes what you need to consider in order to get a satisfying performance with PyTorch, with examples.
This document provides optimization tips for TensorFlow*, Keras, and Caffe* on Intel® Xeon® processors.
This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.