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Intel Software Conference 2014

 A Intel Software Brasil realizou neste mês o Intel Software Conference 2014, que aconteceu na Universidade Estácio de Sá (Rio de Janeiro) nos dias 26 e 27 de Maio e no IMAM (São Paulo) nos dias 28,29 e 30 de Maio.

Foram realizadas palestras e "round tables" ministradas por profissionais da Intel do Brasil, Estados Unidos e Alemanha cobrindo dois temas: Computação Paralela e de Alto Desempenho nos primeiros quatro dias (RJ e SP) e Desenvolvimento Android no último dia (somente em São Paulo).  

Confira logo abaixo os slides das apresentações realizadas.

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  • Unable to deallocate allocatable array in openmp

    Hi, guys. I'm a new hand of openmp. I encounter some problems related to deallocating allocatable array in openmp loop.

    The main reason is the array is too large. An example code is following:

    program omptest
    use omp_lib
    implicit none
    INTEGER :: I,k,J
    integer,pointer :: b(:)
    
    
    !$OMP PARALLEL DO PRIVATE(i,b,k) 
    DO I=1,2490000
       allocate(b(67214259))
       k=OMP_get_thread_num()
       deallocate(b)
    END DO
    !$OMP END PARALLEL DO 
    END PROGRAM

    When the maximum bound of i is large, like 2490000, the program will break at deallocate(b)

    Intel® INDE Media for Mobile Tutorials - Video Streaming from device to YouTube*

    This tutorial explains how to use Intel® INDE Media for Mobile for streaming from your device to YouTube*.

    Prerequisites:

    Installing Wowza Streaming Engine:

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  • OpenGL* ES 3.0 Precompiled Shaders

    Another great Android OpenGL ES 3.0 sample from Cristiano Ferreira - Graphics Software Engineer with Intel Corporation.

    Programmatically compiling all shaders the first time an application is run and saving the binaries for reuse can significantly reduce load times for games in subsequent runs. The OpenGL* ES 3.0 sample code introduced here demonstrates a simple implementation of this capability.

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  • Lizenzvertrag: 

    Controlling floating-point modes when using Intel® Threading Building Blocks

    Intel® Threading Building Blocks (Intel® TBB) 4.2 Update 4 introduced enhanced support for managing floating-pointing settings. Floating-point settings can now be specified at the invocation of most parallel algorithms (including flow::graph). In this blog I want to pay attention to some peculiarities and details of the new feature and overall floating-point settings support in Intel TBB. This blog is not devoted to general floating-point support in the CPU.

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