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Intel TBB 4.4 U2 is out!

I'm glad to announce that Intel TBB 4.4 U2 is out! 

Intel TBB 4.4 Update 2


Changes (w.r.t. Intel TBB 4.4 Update 1):

- Improved interoperability with Intel(R) OpenMP RTL (libiomp) on Linux:
    OpenMP affinity settings do not affect the default number of threads
    used in the task scheduler. Intel(R) C++ Compiler 16.0 Update 1
    or later is required.
- Added a new flow graph example with different implementations of the
    Cholesky Factorization algorithm.

Preview Features:

Putting Your Data and Code in Order: Data and layout - Part 2

In this pair of articles on performance and memory covers basic concepts to provide guidance to developers seeking 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.
  • Desarrolladores
  • Estudiantes
  • Servidor
  • Windows*
  • C/C++
  • Fortran
  • Intermedio
  • Intel® Advisor
  • Intel® Cilk™ Plus
  • Módulos Intel® de subprocesamiento
  • Intel® Advanced Vector Extensions
  • OpenMP*
  • Modernización de código
  • Arquitectura Intel® para muchos núcleos integrados
  • Optimización
  • Computación en paralelo
  • Subprocesos
  • Vectorización
  • flow::buffer_node to multiple input of single join


    I know it looks strange, but in the use case of ressources management (the tbb::flow::buffer_node holds pre-allocated ressources), it would be usefull to capture multiple in a join.

    Example of the strange thing I tried to do and is not working is below.  Any idea how to implement something like this without having to create multiple buffers?

    Software Occlusion Culling

    This article details an algorithm and associated sample code for software occlusion culling which is available for download. The technique divides scene objects into occluders and occludees and culls occludees based on a depth comparison with the occluders that are software rasterized to the depth buffer. The sample code uses frustum culling and is optimized with Streaming SIMD Extensions (SSE) instruction set and multi-threading to achieve up to 8X performance speedup compared to a non-culled display of the sample scene.
  • Desarrolladores
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Desarrollo de juegos
  • Windows*
  • C/C++
  • Intermedio
  • Módulos Intel® de subprocesamiento
  • GameCodeSample
  • GameDev
  • simd
  • AVX2
  • Software Occlusion Culling
  • Intel® Advanced Vector Extensions
  • Intel® Streaming SIMD Extensions
  • Desarrollo de juegos
  • Gráficos
  • Compile failed with clang on Linux

    I cannot use tbb well on Linux when comes to LLVM/Clang. The problem I found is that, because I use clang with libstdc++ not libc++.

    In this file 'tbb_config.h L164':

    #define __TBB_CPP11_RVALUE_REF_PRESENT  (__has_feature(__cxx_ravlue_references__) && (__TBB_GCC_VERSION >= 40300 || _LIBCPP_VERSION))

    I use clang 3.7.1, the __TBB_GCC_VERSION will give 40201, and __LIBCPP_VERSION is not defined, because I'm not using libc++. So this define is not valid, then cause compile failed.

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