Блоги

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...
Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 20:00
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.
Автор: Mike P. (Intel) Последнее обновление: 07.06.2017 - 10:28
Блоги

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.

Автор: David S. (Blackbelt) Последнее обновление: 06.07.2019 - 17:10
Article

OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

Автор: Mike P. (Intel) Последнее обновление: 07.06.2017 - 12:14
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.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 06.07.2019 - 16:30