Quick Linking Intel® MKL BLAS, LAPACK to R


作者: Ying H. (Intel) 最后更新时间: 2017/06/07 - 10:24

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/07/31 - 12:11

Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/10/15 - 15:30

Thread Parallelism in Cython*

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.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/10/15 - 16:40

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/10/15 - 16:50