中文课程简介

本课程基于德克萨斯州立大学计算机系宗子良教授课题研究组的最新研究成果，结合美国宇航局和地质局管理的全球最大的卫星图像分发系统以及阿里巴巴大型云计算系统实例，讲授在构建下一代面向大数据分析和人工智能应用的高能效数据中心时所面临的机遇和挑战。课程将首先详细讲授现代大型数据中心所面临的能耗挑战以及传统的降低能耗的方法，并结合实例讲授大数据分析和人工智能在优化管理大型系统中的重要性，以及未来的大数据处理、AI算法应用对高能效的要求和带来的机遇。

英文课程简介

This summer course will teach students the state-of-the-art knowledge and best practices in building energy-efficient data centers for big data and AI workloads. The topics are well selected based on the latest research of Dr. Ziliang Zong’s group at Texas Sate University. Students will learn the energy challenges in building the next generation of supercomputers, traditional methods in reducing the energy consumption of today’s data centers, and the new opportunities for improving the energy efficiency of future big data and AI workloads via software optimizations. Dr. Zong will leverage two real world systems (the world’s largest satellite image distribution system and the Alibaba cloud system) to explain the importance of big data analysis and artificial intelligence in improving the energy efficiency of future large-scale systems.