This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
In this demo we are showcasing the use of Intel® Xeon Phi™ processor, to do a 3D visualization of tumor in a human brain.
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.
A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.