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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
Автор: Igor F. (Intel) Последнее обновление: 06.07.2019 - 16:40
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
Видео

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

Автор: админ Последнее обновление: 21.03.2019 - 12:08
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
Article

Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 06.07.2019 - 16:30
Видео

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.

Автор: WEI L. (Intel) Последнее обновление: 10.06.2019 - 09:40
Блоги

China Railway Corporation is Named Finalist for the SUPERUSER Award

The adoption of OpenStack* marked the first time China Railway has fully embraced open source technology.
Автор: Travis Broughton (Intel) Последнее обновление: 01.08.2019 - 11:41
Article

TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

Автор: Michael Steyer (Intel) Последнее обновление: 11.03.2019 - 13:17