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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
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With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
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This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
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This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
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The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

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Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
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Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
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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
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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