Article

OpenMP 4.0 for SIMD and Affinity Features with Intel® Xeon® Processors and Intel® Xeon Phi™ Coprocessors

Continuing its long tradition of standards-based software products, Intel® has implemented new OpenMP features that enhance the usage of its hardware products.

Authored by admin Last updated on 06/07/2017 - 10:48
Article

Chromebooks*: Developing the user experience of the future

By Richard Winterton, Sarah Han, and Georgene Dee

Authored by richard-winterton (Intel) Last updated on 06/01/2017 - 11:19
Article

Implementing APIs in Chromium*

By Srinivasa Ragavan Venkateswaran

Authored by admin Last updated on 06/01/2017 - 11:22
Article

Creating Chrome* Apps for Education

By Dale Basye and Steve Burt, Clarity Innovations, Inc.

Authored by admin Last updated on 06/01/2017 - 11:22
Article

Reflections on Developing our First Chrome App

By Randy Schott

Authored by admin Last updated on 06/01/2017 - 11:17
Article

It's All About the Browser: Enabling Platform Features on the Chrome OS*

Intel Developer Forum 2013, Josh Triplett (Chrome OS architect at Intel) and Shyam Sundararaman (Application Engineer at Intel) had a live session on why Intel cares about Google* Chrome OS.

Authored by admin Last updated on 06/01/2017 - 11:20
Article

Easy SIMD through Wrappers

SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
Authored by admin Last updated on 05/31/2017 - 16:20
Video

Part 3: Expressing Parallelism with Vectors

Episode 3 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel® architectures” introduces data parallelism and automatic vectorization.

Authored by Last updated on 01/12/2017 - 14:45
Video

Effective Parallel Optimizations with Intel® Fortran

The SIMD and multi-core features of modern processors enable large improvements in application performance―but only if the application is effectively optimized for parallel execution.

Authored by Martyn Corden (Intel) Last updated on 06/14/2017 - 08:55
Blog post

Vectorized Reduction 2: Let the Compiler do that Voodoo that it do so well

As I mentioned in my previous post about writing a vectorized reduction code from Intel vector intrinsics, that part of the code was just the finishing touch on a loop computing squared difference of complex values.
Authored by Clay B. Last updated on 07/13/2016 - 10:53
For more complete information about compiler optimizations, see our Optimization Notice.