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Intel® IPP - Threading / OpenMP* FAQ

This page contains common questions and answers on multi-threading in the Intel IPP.
Authored by Last updated on 02/20/2019 - 12:40
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.
Authored by Last updated on 12/13/2018 - 13:52
Article

OpenMP* WORKSHARE 现在可与英特尔® Fortran 编译器 15.0 并行

英特尔® Fortran 编译器 15.0 现可为包含阵列分配的 OpenMP WORKSHARE 和 PARALLEL WORKSHARE 结构的指定实例生成多线程代码。  很显然,它们是使用 OpenMP SINGLE 结构进行部署,这表示仅可生成单线程代码。

 

Authored by Kenneth Craft (Intel) Last updated on 12/12/2018 - 18:00
Article

OpenMP* 5.0 support in Intel® Compiler 18.0

OpenMP 5.0 is the next version of the OpenMP specification which should be officially released in 2018.

Authored by Igor V. (Intel) Last updated on 03/09/2019 - 12:30
Article

设计面向游戏的人工智能(第 4 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 01/24/2018 - 15:35
Article

Using Intel® IPP Threaded Static Libraries

Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?

Authored by Last updated on 05/30/2018 - 07:08
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 04/01/2019 - 13:01
Blog post

Web Resources about Intel® Transactional Synchronization Extensions

Short URL for this page: www.intel.com/software/tsx

Authored by Roman Dementiev (Intel) Last updated on 12/12/2018 - 18:00
Article

Optimization of Image Processing Algorithms: A Case Study

High quality image and video processing has become an important part in many professional and consumer applications. This article shares insights and methods gained during a shared work by HP* Labs and Intel on optimizing several imaging algorithms.
Authored by Last updated on 03/28/2019 - 11:56
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00