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Parallel Programming Books

Use these parallel programming resources and books with your Intel® Xeon® processor and Intel® Xeon Phi™ processor family
Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
Blog post

Reminiscing Austin's Intel HPC Developer Conference & SC15

Read this lighthearted recap of the Intel® HPC Developer Conference held in Austin, Texas in 2015.
Authored by Last updated on 03/21/2019 - 15:50
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 03/21/2019 - 12:00
Blog post

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Authored by Last updated on 03/21/2019 - 12:00
Blog post

Autodesk University Shows How Intel Technology Powers 3D Design & Engineering Software

At the Autodesk University event in Las Vegas, November 14-16, civil and commercial/industrial designers and manufacturers who use Autodesk software came together to see The Future of Making Things.
Authored by Last updated on 03/21/2019 - 12:08
Article

Getting started with using MKL in Intel® System Studio IDE

Learning how to take advantage of Intel® System Studio IDE to use MKL
Authored by Jing X. (Intel) Last updated on 05/23/2019 - 18:27
Blog post

Using Clear Linux* for Teaching Virtual Platforms

For Simics® 

Authored by Engblom, Jakob (Intel) Last updated on 06/14/2019 - 06:09
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
Blog post

Gravity Waves, Python*, Intel and the Billion-Year Bong

Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:21
Blog post

Python Brings Us the LIGO Gravity Wave Sound

 

Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:22