移动设备的计算:以性能为中心的实践教程

M. Shevtsov
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引用次数: 0

摘要

对于用于移动设备的现代soc,通过利用架构的异构潜力来关注处理效率是至关重要的。在本教程中,我们提供了使用现有api加速移动应用程序中计算密集型部分的实践经验。具体来说,作为第一步,我们介绍了移动领域中最流行的通用计算api的基本要素,包括RenderScript*, OpenCL*, GLES pixel和最近的计算着色器(加上与更多供应商特定的api(如CUDA*和Metal*)的快速比较)。我们将继续讨论中等复杂度的主题,例如实际应用的特定于api的性能技巧示例。最后,我们谈到了工具辅助性能分析等高级方面。一般关注的是典型用户代码所需的更改,以利用良好的GPU加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compute for mobile devices: performance-focused hands-on tutorial
For modern SoCs used in mobile devices, it is vital to focus on the processing efficiency through leveraging a heterogeneous potential of the architecture. In this tutorial, we offer a hands-on experience with existing APIs for accelerating compute-intensive portions of a mobile application. Specifically, as a first step we introduce the essentials of the most popular general Compute APIs available in the mobile domain, including RenderScript*, OpenCL*, GLES pixel and recently compute shaders (plus quick comparison to more vendor-specific APIs like CUDA* and Metal*). We continue with medium-complexity topics like example API-specific performance tricks in action. Finally, we touch advanced aspects like tools-assisted performance analysis. General focus is on the changes required for the typical user code to leverage good GPU acceleration.
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