Article

Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks

Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Authored by Jeffrey M. (Intel) Last updated on 05/30/2018 - 07:00
Article

Fast Panorama Stitching

 

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Authored by Brandon Jones (Intel) Last updated on 05/30/2018 - 07:40
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Authored by Devorah H. (Intel) Last updated on 05/25/2018 - 15:30
Article

Быстрое сшивание панорамы

 

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Authored by Last updated on 05/30/2018 - 07:40
Article

CERTIFACE 3D e Intel combatem fraudes em compras on-line

Authored by CABELO Last updated on 12/12/2018 - 11:10
Article

Peel the Onion (Optimization Techniques)

This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
Authored by jimdempseyatthecove (Blackbelt) Last updated on 12/12/2018 - 18:00
Blog post

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).

Authored by Sharmila C. (Intel) Last updated on 03/21/2019 - 12:00
Article

Чистим лук (но не плачем): методики оптимизации

Эта статья представляет собой формализованный ответ на публикацию на форуме Intel® Developer Zone. См.: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
Authored by Last updated on 12/12/2018 - 18:00
Article

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

Authored by Vadim Pirogov (Intel) Last updated on 03/21/2019 - 12:00
Article

在英特尔® 数学核心函数库中引入 DNN 基元

    深度神经网络 (DNN) 处于机器学习领域的前沿。这些算法在 20 世纪 90 年代后期得到了行业的广泛采用,最初应用于诸如银行支票手写识别等任务。深度神经网络在这一任务领域已得到广泛运用,达到甚至超过了人类能力。如今,DNN 已用于图像识别、视频和自然语言处理以及解决复杂的视觉理解问题,如自主驾驶等。DNN 在计算资源及其必须处理的数据量方面要求非常苛刻。

Authored by Vadim Pirogov (Intel) Last updated on 03/21/2019 - 12:08