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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 06/23/2019 - 18:50
Article

Choosing between OpenMP* and Explicit Threading Methods

OpenMP provides a powerful, portable, and simple means of threading applications. In some cases, however, developers should choose the flexibility of native threading APIs. The guidelines in this article help to identify whether OpenMP is an appropriate choice for a given situation.
Authored by Last updated on 06/01/2017 - 11:19
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 06/23/2019 - 18:50
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

GCC* 4.9 OpenMP* Code Cannot Be Linked with Intel® OpenMP Runtime

GCC* 4.9 was released on April 22, 2014.  This release now supports Version 4.0 of the

Authored by Kenneth Craft (Intel) Last updated on 07/12/2019 - 15:16
Article

Threading Models for High-Performance Computing: Pthreads or OpenMP?

In recent years, Linux* has bolster its presence on the server, due to improved kernel support for threads. Along the way, Linux abandoned its original threading API (called Linux threads) and adopted Pthreads as its native threading interface, joining most of the UNIX variants available today. Linux developers-just like programmers working on UNIX and Windows*-can avail themselves of a second...
Authored by Last updated on 07/06/2019 - 16:40
Article

OpenMP* 4.0 Combined Offload Constructs Support for the Intel® Xeon Phi™ Coprocessor

The Intel® Parallel Studio XE 2015 Composer Editions for Windows* and Linux* have feature enhancements that provide near full support of the OpenMP* 4.0 API (July 2013) specification.

Authored by Last updated on 06/14/2019 - 14:35
Article

FAT Binary Created for Windows* Static (.lib) and Dynamic-Link (.dll) Library Containing Intel® Xeon Phi™ Coprocessor Offload Code

The Intel® Parallel Studio XE 2015 Composer Editions for Windows* have an internal implementation feature enhancement enabling the Intel® 15.0 compilers to create a FAT binary file for the Windows*

Authored by Last updated on 06/14/2019 - 14:36
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
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 07/06/2019 - 16:40