报告时间：2021年4月24日 9：00
报告形式：腾讯会议
会议ID：949 209 201
Title：Amdahl’s Law, Scalable Computing, and Data Intensive Systems
阿姆达尔定律，可扩展计算, 和数据密集型系统
报告人：Xian-He Sun（孙贤和）
摘要：可扩展性是现代计算机系统构建的基础。无论是对高性能计算中的超级计算机，还是对云计算中的数据中心，可扩展性都至关重要。可扩展计算有三个定律：阿姆达尔定律(Amdahl's Law)、古斯塔夫森定律(Gustafson's Law)和孙-倪定律（Sun-Ni's Law, 孙-倪定律亦被称为存储受限加速定律）。阿姆达尔定律是体系结构设计的基本规律，但在高性能计算中更多地用于指出并行处理的局限性。古斯塔夫森定律引入了可扩展计算的概念。它表明在应用负载随计算节点增加时，并行处理的性能增益没有“天生”的上限。孙-倪定律统一了阿姆达尔定律和古斯塔夫森定律，并指出存储是可扩展计算的一个重要约束，尤其是对于数据密集型应用更是如此。在本报告中，我们将回顾可扩展计算的三个定律，并讨论它们在大数据时代的启示和影响。本报告由浅入深、面向大众。它揭示了抽象和实际在计算机领域的关系并展示了一个简单的公式如何影响了计算机工业的走向。
Bio-Short version: Dr. Xian-He Sun is a University Distinguished Professor and the Ron Hochsprung Endowed Chair of Computer Science at the Illinois Institute of Technology (Illinois Tech). Before joining Illinois Tech, he worked at DoE Ames National Laboratory, at ICASE, NASA Langley Research Center, at Louisiana State University, Baton Rouge, and was an ASEE fellow at Navy Research Laboratories. Dr. Sun is an IEEE fellow and is known for his memory-bounded speedup model, also called Sun-Ni’s Law, for scalable computing. His research interests include high-performance computing, memory and I/O systems, and performance evaluation and optimization. He has over 300 publications and 6 patents in these areas. He is an Associate Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems, a Golden Core member of the IEEE CS society, and the past chair of the Computer Science Department at Illinois Tech. He received the CCF Overseas Outstanding Contribution Award in 2018. More information about Dr. Sun can be found at his web site www.cs.iit.edu/~sun/.