用嵌入式GPU提升移动端视觉应用性能，改善用户体验
Boosting performance of computer vision applications through embedded GPUs on the edge
- 在边缘设备上部署嵌入式GPU加速计算机视觉任务
- 相比仅用CPU，GPU可显著提升处理性能
- 适合资源受限的移动设备上的增强现实应用
计算机视觉应用，尤其是使用增强现实技术的应用，在移动设备中日益普及。然而，这类应用对资源要求较高。为在资源较有限的设备上实现其应用，可采用边缘计算将部分高负载任务卸载。尽管如此，边缘设备通常容量有限，可能影响用户在使用计算机视觉应用时的体验质量。本文提出利用配备图形处理单元（GPU）的嵌入式设备来克服此限制。实验表明，与仅使用CPU相比，使用GPU可获得性能提升，从而保障用户在使用此类应用时的更优体验。
原文摘要 · Abstract (English)
Computer vision applications, especially those using augmented reality technology, are becoming quite popular in mobile devices. However, this type of application is known as presenting significant demands regarding resources. In order to enable its utilization in devices with more modest resources, edge computing can be used to offload certain high intensive tasks. Still, edge computing is usually composed of devices with limited capacity, which may impact in users quality of experience when using computer vision applications. This work proposes the use of embedded devices with graphics processing units (GPUs) to overcome such limitation. Experiments performed shown that GPUs can attain a performance gain when compared to using only CPUs, which guarantee a better experience to users using such kind of application.
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