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Training and Deploying Deep Learning Networks with Caffe* Optimized for Intel® Architecture

Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
Authored by Andres R. (Intel) Last updated on 11/23/2016 - 16:09
Article

Multithreaded Parallel Selection Sort Algorithm Using the Power of OpenMP* Performance Library

The main purpose of the following article is to demonstrate the using of OpenMP library supported by Intel® C++ Compiler to implement an efficient parallel code based on the example of a multithreaded parallel sorting algorithm implementation. In this article, we’ll unveil the most basic features of OpenMP library that effectively provides the high performance acceleration to the sequential code...
Authored by Arthur V. Ratz Last updated on 11/23/2016 - 08:47
Article

Case Study: Parallelizing a Recursive Problem with Intel® Threading Building Blocks

Intel worked closely with DreamWorks Animation engineers to improve the performance of a key rendering system library by up to 35X performance improvement in some cases.
Authored by Louis F. (Intel) Last updated on 11/17/2016 - 19:28
Article

Iniciando com Intel VTune

Iniciando com Intel VTune

Authored by Juliano M. Last updated on 11/17/2016 - 19:28
Article

Two Brains Are Better Than One

Artificial intelligence (AI) drives gameplay. To maximize your AI’s potential and utilize the entire CPU, this means threading. This article examines how to thread a simple AI and some of the challenges in writing an AI that truly scales to multi-core.
Authored by Orion Granatir (Intel) Last updated on 11/17/2016 - 10:18
Article

游戏行业的人工智能设计(第一部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Authored by admin Last updated on 11/17/2016 - 10:18
Article

Designing Artificial Intelligence for Games (Part 1)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Authored by admin Last updated on 11/17/2016 - 10:18
Article

游戏行业的人工智能设计(第二部分)

Designing AI for Games. Intelligent agents need to identify points of interest in the game world. This article shows how to identify and optimize points of interest and provides ways of organizing them for multi-threading.
Authored by admin Last updated on 11/17/2016 - 10:18
Article

Создание искусственного интеллекта для игр (часть 1)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Authored by ALEXEY K. (Intel) Last updated on 11/17/2016 - 10:18
Article

Designing Artificial Intelligence for Games (part 2)

Designing AI for Games. Intelligent agents need to identify points of interest in the game world. This article shows how to identify and optimize points of interest and provides ways of organizing them for multi-threading.
Authored by admin Last updated on 11/17/2016 - 10:18
For more complete information about compiler optimizations, see our Optimization Notice.