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*
by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group
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.
Details how to setup distributed training on multi-node clusters of Intel® Xeon® platforms (CPU) using a Horovod*-based configuration option for the TensorFlow* framework.