會議時間 : 99 年 4 月 19 日 ( 星期一 ) 會議地點 : 清華大學 國際會議廳 報名網頁 : 議程 時間場次活動內容 09:00~09:20 報到 09:20~10:20 第一場講 題 : Device Cloud Computing 主講人 : Dr. Shih-wei Liao, Google (Mountain View) 主持人 : Prof. Wuu Yang 10:20~10:40Break 10:40~12:00 第二場講 題 : Principles and Practices of Computation in the Cloud 主講人 : Dr. Grzegorz Malewicz, Google (Mountain View) 主持人 : Prof. Jenq Kuen Lee 備註 : 主辦單位有更動議程之權利 Dr. Shih-wei Liao's Bio Shih-wei Liao is a tech lead at Google Mountain View while being on-leave from National Taiwan University. He received his BS from NTU in 1991 and his MS and PhD from Stanford University in 1995 and 2000, respectively. He has many years of industry experience at Intel and Google and more than two dozens of patent applications. On the other hand, he also publishes extensively on multicores, compilers, programming systems, and blocking & affine partitioning theory which is included in the Dragon Book. (Dragon book is a bible in the field of compilers.) Abstract We will present a hardware-centric, end-to-end view of cloud computing: from the client side of the cloud computing to the data-center side of it. We will describe some general, important advances at hardware level. Dr. Grzegorz Malewicz's Bio Dr. Grzegorz Malewicz received the BA degrees in computer science and in applied mathematics in 1996 and 1998, respectively, and the MS degree in computer science in 1998, all from the University of Warsaw. He received the PhD degree in computer science from the University of Connecticut in 2003 with his last year at Massachusetts Institute of Technology. He is an engineer at Google designing simple and expressive models of computation and realizing them as scalable systems so as to make data processing in the cloud simple. He co-founded the Pregel project for graph processing and earlier worked on MapReduce, which lead to the first successful 1PB sort. He has had internships at the AT&T Shannon Laboratory (summer 2001) and Microsoft Corp. (summer 2000 and fall 2001). He was a visiting scientist at the University of Massachusetts, Amherst (summer 2004) and Argonne National Laboratory (summer 2005), and an assistant professor at the University of Alabama, where he taught computer science (2003 until 2005). His research focuses on high-performance parallel and distributed computing, experimental and theoretical algorithmics, combinatorial optimization, and scheduling. His research appears in top journals and conferences and includes a singly authored SIAM Journal on Computing paper that solves a decade-old problem in distributed computing. Dr. Malewicz is very active and highly recognized in the field of Cloud Computing. He is a keynote speaker of Cloud Computing 2009 and was invited to MIT and University of Warsaw etc. Dr. Malewicz has been serving as panelist, technical committee member, and invited speaker at IEEE or ACM conferences such as PODC. Abstract Many companies, including Google, operate datacenters consisting of networked commodity computers. Solving practical computational problems on such datacenters can be challenging because of data imbalances, and computer delays and failures. Many models of computation have complicated semantics, making programming difficult. Google has introduced models of computation that meet the challenges. In this talk I will describe the models and fundamental principles that explain why realizing the models efficiently at scale is possible. 主辦單位：教育部「發展國際一流大學及頂尖研究中心計畫」、晶片系統國家型計畫、 教育部前瞻晶片系統設計人才培育先導計畫嵌入式軟體聯盟 (ESW) 、 經濟部學界開發產業技術計畫「 嵌入式異質多核心系統技術研發三年計畫」、 經濟部學研聯合研究計畫「 台灣自主處理器 Android 平台深耕計畫」、國立清華大學資訊工程學系