Amélioration des performances

Significant Scalability and Performance Improvement for Intel® MKL PARDISO on SMP Systems

Intel® MKL 11.3 Beta (released in April 2015) contains significant performance and scalability improvements for the direct sparse solver (a.k.a. Intel MKL PARDISO), on SMP systems. These improvements particularly benefit the Intel Xeon Phi coprocessors and Intel Xeon processors with large core counts. As an example, the chart below shows a 1.7x to 2.5x speedup of Intel MKL 11.3 Beta over Intel MKL 11.2, when using the PARDISO to solve various sparse matrices on an Intel Xeon Phi coprocessor with 61 cores.

  • Développeurs
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Avancé
  • Débutant
  • Intermédiaire
  • Intel Math Kernal Library (Intel MKL)
  • Outils de développement
  • Intel® Many Integrated Core Architecture
  • Планирование оптимизации с Unity*

    By John Wesolowski

    Загрузки

    How To Plan Optimizations with Unity* [PDF 2.15MB]


    Аннотация

    Unity содержит ряд настроек и инструментов, позволяющих добиться плавной работы графики в играх. Для этого проекта мы отобрали те из них, с которыми могут возникнуть сложности, и проанализировали их влияние на производительность игр на ГП Intel®.

  • Développement de jeu
  • Windows*
  • Analyseurs de performances graphiques
  • Unity 3D
  • Touch Devices
  • Développement de jeu
  • Abaqus/Standard Performance Case Study on Intel® Xeon® E5-2600 v3 Product Family

    Background

    The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.

  • Développeurs
  • Partenaires
  • Professeurs
  • Étudiants
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Serveur
  • Avancé
  • Intermédiaire
  • server
  • abaqus
  • abaqus/standard
  • AVX2
  • Xeon
  • Linux
  • parallel computing
  • vtune
  • Optimisation
  • Informatique parallèle
  • Optimizing Image resizing example of Intel(R) Integrated Performance Primitives (IPP) with Intel(R) Threading Building Blocks and Intel(R) C++ Compiler

    < Overview >

     In this article, we are enabling and using Intel(R) Integrated Performance Primitives(IPP), Intel(R) Threading Building Blocks(TBB) and Intel(R) C++ Compiler(ICC) on Linux ( Ubuntu 14.04 LTS 64bit ). We will build and run one of the examples that comes with IPP and apply TBB and ICC on the example to observe the performance improvement of using Intel(R) System Studio features.

  • Développeurs
  • Partenaires
  • Professeurs
  • Étudiants
  • Linux*
  • C/C++
  • Avancé
  • Débutant
  • Intermédiaire
  • Compilateur Intel® C++
  • Intel® VTune™ Amplifier
  • Bibliothèque Intel® Integrated Performance Primitives (IPP)
  • Intel® System Studio
  • ISS
  • IPP
  • tbb
  • icc
  • Informatique cloud
  • Optimisation
  • Parallélisation
  • Vectorisation
  • S’abonner à Amélioration des performances