Blog post

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00
Blog post

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Authored by Anton Malakhov (Intel) Last updated on 10/05/2018 - 18:24
Article

Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
Authored by Mike P. (Intel) Last updated on 06/07/2017 - 10:28
Blog post

Doubling the Performance of OpenStack Swift with No Code Changes

My current gig is mostly about performance. I manage a group of software engineers dedicated to the languages becoming really important to the cloud and the datacenter.

Authored by David S. (Blackbelt) Last updated on 07/06/2019 - 17:10
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
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Authored by Andres Rodriguez (Intel) Last updated on 03/11/2019 - 13:17
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Article

Optimize Linear Regression Model with Intel® DAAL

This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library helps optimize this algorithm on Intel® Xeon® processors.
Authored by Nguyen, Khang T (Intel) Last updated on 02/25/2019 - 11:43
Blog post

Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

Authored by Henry Gabb (Intel) Last updated on 07/06/2019 - 17:10
Video

Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work.

Authored by WEI L. (Intel) Last updated on 06/10/2019 - 09:40