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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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OpenMP und inkrementelle Parallelisierung - (article in german)

In diesem Artikel wird der inkrementelle OpenMP Ansatz zur Parallelisierung von sequentiellen Programmen vorgestellt. Der Schwerpunkt liegt auf der praktischen Darstellung von einfachen Programmbeispielen und nicht auf der Vollständigkeit der Beschreibung
Authored by admin Last updated on 12/12/2018 - 18:00
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OpenMP 4.0 New features Supported in Intel® Compiler 16.0

This article is to introduce two new OpenMP 4.0 features supported by Intel® Compiler 16.0. They are User-defined reductions for POD types in C/C++ program and array reductions in Fortran program.
Authored by Chen, Yuan (Intel) Last updated on 03/09/2019 - 12:30
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Threading Fortran Applications for Parallel Performance on Multi-Core Systems

Advice and background information is given on typical issues that may arise when threading an application using the Intel Fortran Compiler and other software tools, whether using OpenMP, automatic parallelization or threaded libraries.
Authored by Martyn Corden (Intel) Last updated on 12/12/2018 - 18:00
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Parallel Universe Magazine - Issue 24, March 2016

Authored by admin Last updated on 12/12/2018 - 18:08
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Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Authored by David M. Last updated on 07/06/2019 - 16:40
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Intel Guide for Developing Multithreaded Applications

Download this guide for developing multithreaded applications, which also includes general topics such as application threading and synchronization.
Authored by admin Last updated on 07/06/2019 - 16:40
Article

Superscalar Programming 101 (Matrix Multiply) Part 1 of 5

Part one of a five-part series, this article teaches a methodology to interpret statistics gathered during test runs and use those interpretations to improve parallel code.
Authored by jimdempseyatthecove (Blackbelt) Last updated on 07/04/2019 - 22:00
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Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Authored by David M. Last updated on 07/06/2019 - 16:40
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Peel the Onion (Optimization Techniques)

This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
Authored by jimdempseyatthecove (Blackbelt) Last updated on 12/12/2018 - 18:00