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

Intel® Parallel Studio XE for Windows* - Sample Bundle

Автор: Последнее обновление: 30.05.2018 - 07:08
Downloadable Item

Intel® Parallel Studio XE for Linux* - Sample Bundle

Автор: Последнее обновление: 22.03.2017 - 11:32
Блоги

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Автор: Anton Malakhov (Intel) Последнее обновление: 05.10.2018 - 18:24
Article

How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL) in Linux*

The Intel® Data Analytics Acceleration Library (Intel® DAAL) 1, 2 is a software solution for data analytics. It provides building blocks for data preprocessing, transformation, modeling, predicting, and so on.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 05.07.2019 - 19:05
Article

Intel® Distribution for Python* Known Issues

  Intel Distribution for Python 2019 and 2018

Intel® Parallel Studio 2019.1 Intel Python cannot find libiomp on macOS*

Автор: Gergana S. (Blackbelt) Последнее обновление: 14.11.2018 - 08:11
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.
Автор: админ Последнее обновление: 21.03.2019 - 12:00
Видео

A Performance Analysis of Python* Applications with Intel® VTune™ Amplifier

Efficient profiling techniques can help dramatically improving the performance of your Python* code by detecting time, CPU, and memory bottlenecks.

Автор: админ Последнее обновление: 12.02.2018 - 15:55
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
Блоги

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).

Автор: Sharmila C. (Intel) Последнее обновление: 01.08.2019 - 09:30