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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 07/31/2019 - 14:30
Article

Intel® IPP - Using Intel® IPP in Java* applications

More Information about using Intel® IPP in Java* applications
Authored by Last updated on 07/31/2019 - 14:30
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

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
Article

Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks

Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Authored by Jeffrey M. (Intel) Last updated on 07/31/2019 - 15:05
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Authored by Devorah H. (Intel) Last updated on 05/25/2018 - 15:30
Article

Get a Helping Hand from the Vectorization Advisor

Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Authored by Last updated on 07/06/2019 - 16:40
Article

High-Performance, Modern Code Optimizations for Computational Fluid Dynamics

Modern server farms consist of a large number of heterogeneous, energy-efficient, and very high-performance computing nodes connected with each other through a high-bandwidth network interconnect. Such systems pose one of the biggest challenges for engineers and scientists today: how to solve complex, real-world problems by efficiently using the enormous computational horsepower available from...
Authored by Last updated on 07/06/2019 - 16:40
Article

Palestra: Como otimizar seu código sem ser um "ninja" em Computação Paralela

Não perca a palestra "Como otimizar seu código sem ser um "ninja" em Computação Paralela" da Intel que será ministrada durante a Semana sobre Programação Massivamente Paralela em Petrópolis, RJ, no Laboratório Nacional de Computação Científica. Data: 02/02/2016 - 11h30 Local: LNCC - Av. Getúlio Vargas, 333 - Quitandinha - Petrópolis/RJ
Authored by Igor F. (Intel) Last updated on 07/06/2019 - 16:40
Article

Vectorization Advisor 助您一臂之力

Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
Authored by Last updated on 07/06/2019 - 16:40