Accelerated Machine Learning Using TensorFlow and SYCL on OpenCL Devices

M. Goli, L. Iwanski, A. Richards
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引用次数: 14

Abstract

Machine learning is being used in more and more artificial intelligence applications. While existing machine learning frameworks mostly support NVIDIA CUDA GPUs, there has been little research dedicated to targeting other devices through open standards such as OpenCL. In this paper, we explain how machine learning applications can harness the power of OpenCL using open standards and how, by using SYCL, TensorFlow can be extended to include customized operations running on OpenCL devices.
在OpenCL设备上使用TensorFlow和SYCL加速机器学习
机器学习在越来越多的人工智能应用中得到应用。虽然现有的机器学习框架大多支持NVIDIA CUDA gpu,但很少有研究致力于通过开放标准(如OpenCL)瞄准其他设备。在本文中,我们解释了机器学习应用程序如何使用开放标准来利用OpenCL的强大功能,以及如何通过使用SYCL,将TensorFlow扩展到包括在OpenCL设备上运行的定制操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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