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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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Demo: Advantage of Westmere Crypto Acceleration Engine

Purpose of this demo is to show an advantage of Westmere Crypto Acceleration Engine.
Authored by Last updated on 02/04/2019 - 15:08
Article

Code Sample: Optimizing Binarized Neural Networks on Intel® Xeon® Scalable Processors

In the previous article, we discussed the performance and accuracy of Binarized Neural Networks (BNN). We also introduced a BNN coded from scratch in the Wolfram Language. The key component of this neural network is Matrix Multiplication.
Authored by Yash Akhauri Last updated on 03/21/2019 - 12:40
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
Article

Caffe* Scoring Optimization for Intel® Xeon® Processor E5 Series

    In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.

Authored by Gennady F. (Blackbelt) Last updated on 03/21/2019 - 12:28
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Direct N-body Simulation

Exercise in performance optimization on Intel Architecture, including Intel® Xeon Phi™ processors.
Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
Article

Recipe: Building and running NEMO* on Intel® Xeon Phi™ Processors

The NEMO* (Nucleus for European Modelling of the Ocean) numerical solutions framework encompasses models of ocean, sea ice, tracers, and biochemistry equations and their related physics.This recipe shows the performance advantages of using the Intel® Xeon Phi™ processor 7250.
Authored by Dmitry K. (Intel) Last updated on 06/14/2019 - 11:50