Blog post

PGO: Let It Go (PHP)

We can hope that companies like Intel® will come along with a faster processor. (And this does tend to happen every year). Or we can improve our compilers to produce better machine code. Or we can analyze our own code and change it to run more optimally. For PHP, we do all three: We partner with the processor architects to improve the way they execute PHP; we look for changes we can make to the...
Authored by David S. (Blackbelt) Last updated on 07/03/2019 - 20:08
Article

Palestra: Como otimizar seu código sem ser um "ninja" em Computação Paralela

Não perca a palestra "Como otimizar seu código sem ser um "ninja" em Computação Paralela" da Intel que será ministrada durante a Semana sobre Programação Massivamente Paralela em Petrópolis, RJ, no Laboratório Nacional de Computação Científica. Data: 02/02/2016 - 11h30 Local: LNCC - Av. Getúlio Vargas, 333 - Quitandinha - Petrópolis/RJ
Authored by Igor F. (Intel) Last updated on 07/06/2019 - 16:40
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

Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Authored by Sharmila C. (Intel) Last updated on 08/01/2019 - 09:30
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
Article

Optimizing OpenStack* Swift* Performance with PyPy*

Isolate and address challenges, understand different solutions, and learn best-known methods associated with adopting a PyPy* just-in-time interpreter for a leading cloud co

Authored by Peter X. Wang (Intel) Last updated on 07/06/2019 - 16:30
File Wrapper

Parallel Universe Magazine - Issue 17, March 2014

Authored by admin Last updated on 03/21/2019 - 12:00
File Wrapper

Parallel Universe Magazine - Issue 23, November 2015

Authored by admin Last updated on 12/12/2018 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 25, June 2016

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