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Анализ производительности Java на устройствах Android с помощью Intel® VTune™ Amplifier 2014 for Systems

Intel® VTune™ Amplifier 2014 for Systems поддерживает анализ функций Java и доступ к ассемблеру с JIT, Java Source и Dex* для функций, обработанных с помощью JIT на рутованных устройствах Android*, на которых запущена виртуальная машина Java/Dalvik* с оснасткой.  Прочтите эту статью позже, чтобы узнать, как запустить будущую версию VTune Amplifier for Systems для включения анализа Java на ART* JVM.

Если возникают следующие проблемы:

  • 开发人员
  • 安卓*
  • 安卓*
  • C/C++
  • Java*
  • 高级
  • 中级
  • 英特尔® System Studio
  • 英特尔® VTune™ 放大器
  • VTune Amplifier Java Dalvik Android
  • 开发工具
  • 移动性
  • 优化
  • How to analyze OpenMP* applications using Intel® VTune™ Amplifier XE 2015

     

    Introduction

     

    Intel® VTune™ Amplifier XE 2015 now includes extensive capabilities for analyzing OpenMP applications. This article will step through this analysis on an Intel® Xeon Phi™ coprocessor.

     

    Compiling and running the application

     

    The application we will be using is one of the samples included in VTune Amplifier. It is located in /opt/intel/vtune_amplifier_xe_2015/samples/en/C++/matrix_vtune_amp_xe.tgz. To build the application on Linux*:

  • 开发人员
  • Linux*
  • C/C++
  • Fortran
  • 中级
  • 英特尔® Parallel Studio XE
  • 英特尔® VTune™ 放大器 XE
  • 开发工具
  • 并行计算
  • 线程
  • Release Notes Information - Intel® XDK

    Issues Addressed: Corrected a bad tooltip on the Emulator Back button. Made an update to the Import Project screen to properly reflect the directory the project is stored in. Previously the information you entered in the “Name your project” field appeared to be adding a directory to the “Import From” path on the screen while it actually did not. Corrected an issue with intel.xdk.player.playSound() method where it did not play on Cordova apps.

    How Intel® AVX2 Improves Performance on Server Applications

    The latest Intel® Xeon® processor E5 v3 family includes a feature called Intel® Advanced Vector Extensions 2 (Intel® AVX2), which can potentially improve application performance related to high performance computing, databases, and video processing. Here we will explain the context, and provide an example of how using Intel® AVX2 improved performance for a commonly known benchmark.

  • 开发人员
  • 合作伙伴
  • 学生
  • Linux*
  • 服务器
  • 中级
  • 英特尔® C++ 编译器
  • AVX2
  • AVX
  • SSE
  • server
  • High Performance Linpack
  • LINPACK Benchmark
  • Linpack
  • 大型企业
  • 并行计算
  • 线程
  • 矢量化
  • Intel® XDK Install Instructions

    Note that the APIs listed below augment the standard Cordova APIs, both APIs can and should be used in your application. In some cases there is overlap between the Cordova APIs and the intel.xdk APIs; in that case, we recommend you use the Cordova API first and then use the intel.xdk API when the Cordova API either does not provide the desired functionality or provides inadequate functionality.
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