论文标题
迈向人工智能的系统教育：智能计算体系结构的课程实践
Towards Systems Education for Artificial Intelligence: A Course Practice in Intelligent Computing Architectures
论文作者
论文摘要
随着人工智能（AI）社区的快速发展，AI的教育正在受到越来越多的关注。在算法和应用方面，有许多与AI相关的课程，而系统级别的课程并不多。为了弥合AI和计算系统之间的差距，我们正在尝试探索如何从计算系统的角度进行AI教育。在本文中，提供了智能计算体系结构的课程练习，以证明AI时代的系统教育。首先引入了本课程实践的动机以及学习方向。本课程的主要目标旨在教学生在FPGA平台上设计AI加速器。详细的课程内容包括讲义和相关的技术材料。特别是详细说明了几个实用的实验室和项目。最后，讨论了一些教学经验和效果以及未来的一些潜在改进。
With the rapid development of artificial intelligence (AI) community, education in AI is receiving more and more attentions. There have been many AI related courses in the respects of algorithms and applications, while not many courses in system level are seriously taken into considerations. In order to bridge the gap between AI and computing systems, we are trying to explore how to conduct AI education from the perspective of computing systems. In this paper, a course practice in intelligent computing architectures are provided to demonstrate the system education in AI era. The motivation for this course practice is first introduced as well as the learning orientations. The main goal of this course aims to teach students for designing AI accelerators on FPGA platforms. The elaborated course contents include lecture notes and related technical materials. Especially several practical labs and projects are detailed illustrated. Finally, some teaching experiences and effects are discussed as well as some potential improvements in the future.
