Article

Designing the Framework of a Parallel Game Engine

How to Get the Most Out of a Multi-Core CPU with Your Game Engine
作者: 最后更新时间: 2018/12/12 - 18:00
Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
作者: 最后更新时间: 2019/07/31 - 14:30
Article

Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
Article

Debugging Intel® Xeon Phi™ Applications on Linux* Host

Read details about a debug solution for Intel® Many Integrated Core Architecture (Intel® MIC) that can debug applications running on an Intel® Xeon Phi™ coprocessor.
作者: 最后更新时间: 2019/07/06 - 16:40
博客

Improving MPI Communication between the Intel® Xeon® Host and Intel® Xeon Phi™

MPI Symmetric Mode is widely used in systems equipped with Intel® Xeon Phi™ coprocessors.

作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 17:10
博客

Advanced Computer Concepts for the (Not So) Common Chef: The Home Kitchen

Since that brief aside on terminology is out of the way, let us continue with the kitchen analogy.

作者: 最后更新时间: 2019/07/06 - 17:10
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.
作者: 管理 最后更新时间: 2018/12/12 - 18:00
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.
作者: 管理 最后更新时间: 2018/12/12 - 18:00
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
作者: 最后更新时间: 2018/12/12 - 18:00