Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
NumPy UMath Optimizations
This page provides system requirements and release notes for Intel® System Studio.
The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
Intel® optimization for TensorFlow* is available for Linux*, including installation methods described in this technical article. The different versions of TensorFlow optimizations are compiled to support specific instruction sets offered by your CPU.
Use the Intel® Neural Compute Stick 2 with your favorite prototyping platform by using the open source distribution of OpenVINO™ toolkit.
NOTE: The Intel® Distribution of OpenVINO™ toolkit was formerly known as the Intel® Computer Vision SDK