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Meshcentral - Sprinxle Cloud

Sprinxle is a company based in California that offers Intel AMT management solution and services. Recently, they added Sprinxle Cloud to their product line up. Sprinxle Cloud is a commercially supported version of Meshcentral. Late last year, they started taking the open source software and making the proper changes to it so they could offer it as a supported product. They offer e-mail and phone support along with many other services.

Intel Texture Compression Plugin for Photoshop*

Intel is working to extend Photoshop to take advantage of the latest image compression methods (BCn/DXT) via plugin. The purpose of this plugin is to provide a tool for artists to access superior compression results at optimized compression speeds within Photoshop.
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  • Participe do Concurso INOVApps 2015 promovido pelo Ministério das Comunicações!

    Parceiros Intel, segue abaixo mais uma oportunidade para apresentarem suas soluções!  

    O Ministério das Comunicações lançou no dia 14/07, a segunda edição do Concurso INOVApps que tem como objetivo apoiar o desenvolvimento de aplicativos de interesse público para dispositivos móveis e TVs digitais conectadas.

    Open Source Downloads

    This article makes available third-party libraries, executables and sources that were used in the creation of Intel® Software Development Products or are required for operation of those. Intel provides this software pursuant to their applicable licenses. [Intel® Graphics Technology, Intel® Composer XE, Intel® C++ Composer XE, Intel® Application Debugger, Intel® Many Integrated Core Architecture Debugger & Intel® JTAG Debugger]
  • Desarrolladores para Intel AppUp®
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • C/C++
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  • Intel® C++ Compiler
  • Intel® Fortran Compiler
  • Intel® Debugger
  • Depurador de JTAG Intel®
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  • Intel(R) Software Development Products
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  • OpenMP thread pinning

    Hello,

    I am running a hybrid MPI/OpenMP code which is:

      call MPI_Init( ierr )
      call MPI_Comm_rank( MPI_COMM_WORLD, rank, ierr )
      call MPI_Comm_size( MPI_COMM_WORLD, size, ierr )

      t1 = MPI_Wtime( )

    !$omp parallel do private(i, x) reduction(+ : pi_partial)
      do i = rank, N-1, size
        x = (dble( i ) + 0.5_DP) * dx
        pi_partial = pi_partial + f( x )
      end do

    kmp_reduce non atomic

    Hello, 

    I have studied the openmp reduction function kmp_reduce and the conclusion is : 

    if (lck!=NULL) ==> we can do CRITICAL version
    if (reduce_data!=NULL && reduce_func!=NULL) ==> we can do TREE version
    if ((loc->flags & KMP_IDENT_ATOMIC_REDUCE) == KMP_IDENT_ATOMIC_REDUCE) ==> we can do ATOMIC version

    So i have created 3 flags which tests the conditions above (CRITICAL, TREE, ATOMIC)

    I have done some tests of openmp reductions to look at the results of these flags, but it seems to be always at 1.

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