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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.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
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面向英特尔® 至强融核™ 处理器的 Offload over Fabric教程

This tutorial shows how to install Offload over Fabric (OoF) software on 2nd generation Intel® Xeon Phi™ processor, configure the hardware, test the basic configuration, and enable OoF
Authored by Nguyen, Loc Q (Intel) Last updated on 09/30/2019 - 17:28
Article

Set up Offload Over Fabric Software on an Intel® Xeon Phi™ Processor

How to install and enable Offload Over Fabric, configure the hardware, and test the configuration.
Authored by Nguyen, Loc Q (Intel) Last updated on 06/14/2019 - 11:50
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

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.
Authored by Last updated on 07/06/2019 - 16:40
Article

Case Study: Many-Fermion Dynamics using Intel® Xeon Phi™ Processors

Many-Fermion Dynamics---nuclear, or MFDn, is a configuration interaction (CI) code for nuclear structure calculations.

Authored by Mike P. (Intel) Last updated on 06/14/2019 - 11:50
Article

英特尔® 至强融核™ 处理器优化教程

In this tutorial, we demonstrate some possible ways to optimize an application to run on the Intel® Xeon Phi™ processor
Authored by Nguyen, Loc Q (Intel) Last updated on 09/30/2019 - 17:28
Article

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.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
Article

Improve Application Performance on an Intel® Xeon Phi™ Processor

Learn techniques for vectorizing code, adding thread-level parallelism, and enabling memory optimization.
Authored by Nguyen, Loc Q (Intel) Last updated on 06/14/2019 - 11:50
Article

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Authored by Last updated on 06/14/2019 - 11:50
Article

Intel® Xeon Phi™ Processor 7200 Family Memory Management Optimizations

This paper examines software performance optimization for an implementation of a non-library version of DGEMM executing on the Intel® Xeon Phi™ processor (code-named Knights Landing, with acronym K

Authored by Last updated on 07/06/2019 - 16:30