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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
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Knights Landing – An Overview for Developers

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Scale-Up Implementation of a Transportation Network Using Ant Colony Optimization (ACO)

In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
Autor Sunny G. (Intel) Última actualización 05/07/2019 - 19:10
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OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

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Autor David M. Última actualización 06/07/2019 - 16:40
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Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Autor Nguyen, Loc Q (Intel) Última actualización 06/07/2019 - 16:30
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3D Isotropic Acoustic Finite-Difference Wave Equation Code: A Many-Core Processor Implementation and Analysis

Finite difference is a simple and efficient mathematical tool that helps solve differential equations.

Autor Sunny G. (Intel) Última actualización 06/07/2019 - 16:30
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