计算机科学技术学报 ›› 2023,Vol. 38 ›› Issue (1): 1-2.doi: 10.1007/s11390-023-0001-7

所属专题: Computer Architecture and Systems

• •    下一篇

生机勃勃的并行和分布式计算领域 ——黄铠教授八十寿辰庆贺专刊序

  

  • 出版日期:2023-02-28 发布日期:2023-02-28

The Vibrant Field of Parallel and Distributed Computing — Scan the Special Issue in Honor of Professor Kai Hwang’s 80th Birthday

Guo-Jie Li        

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing
  • Online:2023-02-28 Published:2023-02-28
  • About author:Guo-Jie Li received his B.S. degree in physics from Peking University, Beijing, in 1968, his M.S. degree in computer science from University of Science and Technology of China, Hefei, in 1981, and his Ph.D. degree in electrical engineering from Purde University, West Lafayette, in 1985. He is an academician of Chinese Academy of Engineering and a former director of Institute of Computing Technology, Chinese Academy of Sciences, Beijing. His main research interests include high-performance computer architecture and high-performance computing.

        由本人为黄铠教授八十寿辰庆贺专刊作序,深表荣幸。本专刊中的文章均由其学术后代和和同事撰写,以此向黄铠教授为并行和分布式计算领域所做出的重大贡献致敬。
        黄铠教授于1972年在加州大学伯克利分校获得电气工程和计算机科学博士学位。黄教授在普渡大学和南加州大学执教44年,现任香港中文大学(深圳)计算机科学和工程校长讲座教授。在50余年的学术生涯中,黄教授培养了21位博士,撰写了10本教科书,并发表了260余篇科技论文。他是并行和分布式计算领域极具影响力的国际期刊Journal of Parallel and Distributed Computing (JPDC)的创刊主编。
        中国计算机学会(CCF)于2005年、2009年和2018年分别授予三位老师CCF海外杰出贡献奖,即黄铠教授、黄教授的博士生倪明选教授、倪教授的博士生孙贤和教授。“一门三杰”,成为中国计算机科学界的一段佳话。本专刊展现了更深的五代学术谱系,即:黄铠-倪明选-孙贤和- Kirk Cameron-葛蓉。
        倪明选教授,现任香港科技大学(广州)首席教授兼创始校长,为本专刊贡献了两篇论文。第一篇论文介绍的是倪教授团队提出的HXPY,一个比同类产品快几个数量级的金融时间序列数据处理并行计算软件包。第二篇论文是综述,全面并及时地介绍并分析了无处不在的WiFi,以及分布式计算的一个逐步发展的子领域:声学传感的研究。
        孙贤和教授,现任伊利诺伊理工学院杰出教授、IEEE Translations on Parallel and Distributed Systems期刊主编。孙教授团队的论文全面地回顾了内存制约加速比模型,即黄铠教授教科书中所述的Sun-Ni定律。
        Kirk W. Cameron教授,现任弗吉利亚理工学院教授,是一位绿色高性能计算研究的先驱。Cameron教授团队回顾了超越阿姆达尔定律的可扩展性,尤其是大规模功率性能测量建模如何影响服务器和超级计算机的设计。
        葛蓉博士,现任克莱姆森大学计算学院的院长特聘教授。她和同事的论文介绍了他们团队所设计的功率受限高性能计算范式,该范式认为协调功率受限分配是计算机系统性能分析和优化的关键因素,这与之前的低功率计算和功率感知计算范式不同。
        此外,还有三位黄铠教授培养的第一代博士为本专刊贡献了论文。徐志伟博士是中科院大学教授、Journal of Computer Science and Technology (计算机科学技术学报)主编。他的团队提出了称为“信息高铁”(Information Superbahn)的算力网愿景, 介绍了其全球规模、低熵及高通量算力三个显著特征。
        另一位黄铠教授所培养的学术之星是Ahmed Louri博士,现任乔治华盛顿大学的讲席教授,是IEEE Transactions on Computers期刊主编。Louri教授和他的团队介绍了GShuttle,一个图卷积神经网络加速机制,其特色是尽量减少对芯片外DRAM和芯片内SRAM的访问。
        Dhabaleswar K. Panda博士现任俄亥俄州立大学教授,是高性能计算领域极有影响力的专家。他的软件MVAPICH被全球成千上万的机构使用。Panda教授团队的论文介绍了他们的前瞻研究工作,分析评估了使用最新互联技术Slingshot的全球第一台百亿亿次超级计算机的通信性能。
        黄铠教授学术谱系的另外两位第二代博士也为此专刊贡献了综述论文。刘云浩博士现任清华大学讲席教授、ACM Transactions on Sensor Network期刊主编。他和团队贡献的是工业互联网时钟同步技术的研究综述。鲁小亿博士现任加州大学默塞德分校助理教授。鲁博士团队的综述论文介绍和分析了众多企业引领的深度学习集体通信库(统称为xCCL),并且回答了为什么企业选择xCCL而没有选用经典的消息传输接口MPI。
        金海博士是众多与黄铠教授共事过的博士后的代表。金博士现任华中科技大学讲席教授、开放获取期刊Computer Systems Science and Engineering联合主编。金教授团队提出了一种新的中文实体链接方法,他们研究的自然语言处理问题是并行和分布式系统越来越重要的应用负载。
        郑纬民老师现任清华大学教授,曾任中国计算机学会理事长。作为一名与黄铠教授长期共事的同事,他将黄铠教授的教科书翻译成了中文出版。郑教授团队贡献的是一篇前瞻性文章,提出一种面向异构高性能计算机的统一编程模型的设计思路,而统一编程模式是未来平行和分布式计算的重要研究问题。

Abstract:     It is my great pleasure to write this editorial for the special issue in honor of Professor Kai Hwang' s 80th birthday. The articles are written by Professor Hwang's academic descendants and colleagues, to pay tribute to his decades of contributions to the vibrant field of parallel and distributed computing.
    Professor Hwang obtained his Ph.D. degree in electrical engineering and computer science in 1972, from the University of California at Berkeley. He taught for 44 years at Purdue University and the University of Southern California. He currently serves as Presidential Chair Professor of Computer Science and Engineering at the Chinese University of Hong Kong (Shenzhen). In his five decades of academic career, Professor Hwang has supervised 21 Ph.D. students, authored 10 textbooks, and published over 260 scientific papers. He served as the founding Editor-in-Chief of the Journal of Parallel and Distributed Computing (JPDC), an influential international journal in this field.
    A much-told tale in China's computer science community is that in 2005, 2009 and 2018, the China Computer Federation (CCF) conferred its prestigious Outstanding Achievement Award (Award for Overseas Outstanding Contributions) to Kai Hwang, his Ph.D. student Lionel Ni, and Ni's Ph.D. student Xian-He Sun. This special issue shows a deeper academic lineage of five generations: Hwang-Ni-Sun-Cameron-Ge.
    Lionel Ni serves as Chair Professor and Founding President of the Hong Kong University of Science and Technology (Guangzhou). He contributes two papers to this special issue. First, Ni' s team presents HXPY, a parallel computing software package for financial time-series data processing, that is orders of magnitudes faster than its counterparts. Second, Ni and his colleagues present a comprehensive and timely survey on ubiquitous WiFi and acoustic sensing researches, a growing subfield of distributed computing.
    Xian-He Sun is a University Distinguished Professor at the Illinois Institute of Technology and the Editor-in- Chief of IEEE Transactions on Parallel and Distributed Systems. His team has contributed a comprehensive review of the memory-bounded speedup model, which is called Sun-Ni's law in Kai Hwang's textbooks.
    Kirk W. Cameron is a professor at Virginia Tech and a pioneer in green HPC. His team presents a retrospective on scalability beyond Amdahl's law, especially how power-performance measurement and modeling at scale influenced server and supercomputer design.
    Rong Ge is a Dean's Distinguished Professor in the School of Computing at Clemson University. Her team has devised a vision called the paradigm of power-bounded HPC, which is different from previous low-power computing and power-aware computing paradigms.
    Interestingly, three other first-generation Ph.D. students of Professor Hwang have also contributed to this issue. Zhi-Wei Xu is a professor at the University of Chinese Academy of Sciences and the Editor-in-Chief of the Journal of Computer Science and Technology. His team presents Information Superbahn, a perspective on future computing utility with low entropy and high goodput characteristics.
    Another academic star spawned by Hwang is Ahmed Louri, a chair professor at George Washington University and the Editor-in-Chief of IEEE Transactions on Computers. His team presents GShuttle, a graph convolutional neural network acceleration scheme that minimizes off-chip DRAM and on-chip SRAM accesses.
    Yet another is Dhabaleswar K. Panda, a professor at Ohio State University and an influential HPC expert. His MVAPICH software has been used by thousands of organizations worldwide. His team is credited with a cutting- edge study of communication performance on the world's first exascale supercomputer with the most recent interconnect (Slingshot).
    Not to be overlooked are two other second-generation Ph.D. students who have contributed review articles. Yun-Hao Liu is a chair professor at Tsinghua University, Beijing, and the Editor-in-Chief of ACM Transactions on Sensor Network. His team has presented a timely survey of clock synchronization techniques for Industrial Internet scenarios.
    Xiaoyi Lu is an assistant professor at the University of California at Merced. His team has come up with a comprehensive survey on xCCL, a host of industry-led collective communication libraries for deep learning, and has answered why the industry has chosen xCCL instead of classic MPI.
    The parade of Hwang-nurtured talents is hardly complete without Hai Jin as a representative of many postdoctorals who worked with Professor Hwang. Dr. Jin is a chair professor at Huazhong University of Science and Technology and a co-Editor-in-Chief of Computer Systems Science and Engineering, an open-access journal. His team has invented a new method for Chinese entity linking, a natural language processing problem that is important workload for parallel and distributed systems.
    Wei-Min Zheng is a professor at Tsinghua University, Beijing, and a past president of China Computer Federation. It is he who, being a long-time colleague, has translated Hwang's textbook into Chinese. His team has devised a perspective on unified programming model for heterogeneous high-performance computers, a fundamental issue of future parallel and distributed computing.

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