Mensagem de blog

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...
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 20:00
Article

Intel® IPP ZLIB Coding Functions

1. Overview
Criado por Chao Y (Intel) Última atualização em 31/07/2019 - 14:30
Article

Running Intel® Parallel Studio XE Analysis Tools on Clusters with Slurm* / srun

Since HPC applications target high performance, users are interested in analyzing the runtime performance of such applications.

Criado por Michael Steyer (Intel) Última atualização em 06/07/2019 - 11:23
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Criado por Nguyen, Loc Q (Intel) Última atualização em 06/07/2019 - 16:30
Mensagem de blog

Modernizing Software with Future-Proof Code Optimizations

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

Criado por Henry Gabb (Intel) Última atualização em 06/07/2019 - 17:10