博客

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...
作者: David S. (Blackbelt) 最后更新时间: 2019/07/03 - 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
作者: Igor F. (Intel) 最后更新时间: 2019/07/06 - 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.
作者: 管理 最后更新时间: 2019/03/21 - 12:00
博客

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).

作者: Sharmila C. (Intel) 最后更新时间: 2019/08/01 - 09:30
博客

Modernizing Software with Future-Proof Code Optimizations

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

作者: Henry Gabb (Intel) 最后更新时间: 2019/07/06 - 17:10
视频

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.

作者: WEI L. (Intel) 最后更新时间: 2019/06/10 - 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

作者: Peter X. Wang (Intel) 最后更新时间: 2019/07/06 - 16:30
File Wrapper

Parallel Universe Magazine - Issue 17, March 2014

作者: 管理 最后更新时间: 2019/03/21 - 12:00
File Wrapper

Parallel Universe Magazine - Issue 23, November 2015

作者: 管理 最后更新时间: 2018/12/12 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 25, June 2016

作者: 管理 最后更新时间: 2019/03/21 - 12:00