parallel

Создание искусственного интеллекта для игр (часть 4)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
  • Developers
  • Game Development
  • Advanced
  • Beginner
  • Intermediate
  • Intel® VTune™ Amplifier
  • ai
  • Artificial intelligence
  • artificial intelligence engine
  • threading
  • parallelization
  • parallel
  • Game Development
  • Graphics
  • Parallel Computing
  • 设计面向游戏的人工智能(第 4 部分)

    The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
  • Developers
  • Game Development
  • Advanced
  • Beginner
  • Intermediate
  • Intel® VTune™ Amplifier
  • ai
  • Artificial intelligence
  • artificial intelligence engine
  • threading
  • parallelization
  • parallel
  • Game Development
  • Graphics
  • Parallel Computing
  • 基于64位架构使用英特尔® 线程构建模块并行化安卓* 应用

    全新的 Android L 64 位操作系统已于近日推出。 在本文中,我将向您展示如何利用英特尔® 线程构建模块(英特尔® TBB)轻松地开发面向 Android L 64 位架构的并行应用。 英特尔® TBB 是一个跨平台模板库,可用于创建并行程序。 它可以创建和同步数据流,同时隐藏架构详情,支持您在更高的抽象化水平上工作。 英特尔® TBB 可以在所有架构上运行。 对于 Android,请使用 4.3 及更高版本。

  • Android*
  • Android*
  • Android
  • tbb
  • Intel
  • parallel
  • application
  • sample
  • 使用英特尔® 线程构建模块计算pi

    鉴于许多 Android* 设备的处理器都具有一个以上的内核,了解如何开发多线程应用在移动行业变得十分重要。 英特尔开发了一种名为英特尔® 线程构建模块(英特尔® TBB)的重要工具,该工具可用于开发并行应用。 英特尔® TBB 是一个跨平台模板库,用于帮助用户创建并行程序。 它可以创建和同步数据流,同时隐藏架构详情,支持您在更高的抽象化水平上工作。 英特尔® TBB 可以在所有架构上运行。 对于 Android,请使用 4.3 及更高版本。

  • Android*
  • Android*
  • tbb
  • multithreaded applications
  • parallel
  • Cross-Platform library
  • Calculation of pi with Intel® Threading Building Blocks

    Many Android* devices have processors with more than one core and knowing how to develop multithreaded applications has become important in the mobile industry. Intel has developed a valuable tool for developing parallel applications called Intel® Threading Building Blocks (Intel® TBB). The Intel® TBB is a cross-platform library of templates for creating parallel programs. It creates and synchronizes streams of data, hiding the details of the architecture and allowing you to work at a higher level of abstraction. Intel® TBB works on all architectures.

  • Android*
  • Android*
  • tbb
  • multithreaded applications
  • parallel
  • Cross-Platform library
  • Parallel Android* Applications for 64-bit architecture with Intel® TBB

    Recently, the new Android L 64-bit OS became available. In this paper I will show you how easy it is to develop parallel applications for Android L 64 bit with Intel® Threading Building Blocks (Intel® TBB). The Intel® TBB is a cross-platform library of templates for creating parallel programs. It creates and synchronizes streams of data, hiding the details of the architecture and allowing you to work at a higher level of abstraction. Intel® TBB works on all architectures. For Android, use version 4.3 and above.

  • Android*
  • Android*
  • Android
  • tbb
  • Intel
  • parallel
  • application
  • sample
  • A Parallel Stable Sort Using C++11 for TBB, Cilk Plus, and OpenMP

    This article describes a parallel merge sort code, and why it is more scalable than parallel quicksort or parallel samplesort. The code relies on the C++11 “move” semantics. It also points out a scalability trap to watch out for with C++. The attached code has implementations in Intel® Threading Building Blocks (Intel® TBB), Intel® Cilk™ Plus, and OpenMP*.

  • Developers
  • Professors
  • Students
  • C/C++
  • Intermediate
  • Intel® Cilk™ Plus
  • Intel® Threading Building Blocks
  • parallel
  • Merge Sort
  • Cilk Plus
  • tbb
  • openmp
  • OpenMP*
  • Parallel Computing
  • Subscribe to parallel