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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 09/02/2019 - 10:11
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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 07/31/2019 - 14:30
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Parallel Universe Magazine - Issue 22, September 2015

Authored by admin Last updated on 12/12/2018 - 18:08
Article

Programming for Multicore and Many-core Products including Intel® Xeon® processors and Intel® Xeon Phi™ X100 Product Family coprocessors

The programming models in use today, used for multicore processors every day, are available for many-core coprocessors as well. Therefore, explaining how to program both Intel Xeon processors and Intel Xeon Phi coprocessor is best done by explaining the options for parallel programming. This paper provides the foundation for understanding how multicore processors and many-core coprocessors are...
Authored by James R. (Blackbelt) Last updated on 06/14/2019 - 12:10
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Parallel Universe Magazine - Issue 24, March 2016

Authored by admin Last updated on 12/12/2018 - 18:08
Article

面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

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
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 07/31/2019 - 14:30
Article

Virtual Vector Function Supported in Intel® C++ Compiler 17.0

Intel® C++ Compiler 17.0 starts supporting virtual vector functions.

Authored by Chen, Yuan (Intel) Last updated on 06/01/2017 - 11:32
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