Easy SIMD through Wrappers

SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
  • Sviluppatori
  • Linux*
  • Microsoft Windows* 8.x
  • Windows*
  • C/C++
  • Avanzato
  • Intermedio
  • Intel® Streaming SIMD Extensions
  • AVX
  • simd
  • ray tracing
  • Crytek
  • Sviluppo di videogame
  • Processori Intel® Atom™
  • Processori Intel® Core™
  • Elaborazione parallela
  • Analyzing Media Workloads Using Intel® Integrated Native Developer Experience (Intel® INDE)

    Verify that your media workload takes full advantage of Intel architecture with the System Analyzer tool included in Intel's Integrated Native Developer Experience (INDE). This tutorial walks through the use of the INDE System Analyzer in a Windows Environment.
  • Sviluppatori
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Windows*
  • Intermedio
  • Intel® Integrated Native Developer Experience (INDE)
  • Windows 8 Resources
  • Installing INDE
  • Intel INDE
  • System Analyzer
  • media
  • Integrated Native Developer Experience
  • Strumenti di sviluppo
  • 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.

  • Sviluppatori
  • Partner
  • Professori
  • Studenti
  • Linux*
  • C/C++
  • Avanzato
  • Principiante
  • Intermedio
  • Compilatore C++ Intel®
  • Intel® VTune™ Amplifier
  • Intel® Integrated Performance Primitives
  • Intel® System Studio
  • ISS
  • IPP
  • tbb
  • icc
  • Cloud computing
  • Ottimizzazione
  • Threading
  • Vettorizzazione
  • Cómo publicar en Google Play aplicaciones para dispositivos Android basados en x86 con soporte para múltiples APK

    Google Play ha agregado compatibilidad con múltiples APK para la arquitectura de CPU x86. Esta funcionalidad le permite publicar diferentes APK para su aplicación, cada uno dirigido a la arquitectura de CPU x86. El APK es una versión completa e independiente de su aplicación, pero comparte el mismo listado en Google Play y debe tener el mismo nombre de paquete y estar firmado con la misma clave de versión. Esto es muy útil para los casos en que su aplicación no pueda funcionar en todos los dispositivos con un único APK, como es el caso de aplicaciones desarrolladas con el NDK para Android.

    Using Feature Detection to Write Cross-Platform HTML5 Packaged Web Apps

    One of the promises of HTML5 is to enable cross-platform apps; meaning that you can write one app that runs on multiple platforms (using a single source code base). This is the ideal for HTML5 apps; the reality is that HTML5 web apps are mostly cross-platform and sometimes require conditional code to deal with platform-specific quirks and differences.

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