2019-d-Chung

Cloud and Machine Learning

August 12-16, 2019 (9:00-12:00)

Room 202, Astro-Mathematics Building, National Taiwan University

Map: http://goo.gl/iutx｜Transportation: https://visitorcenter.ntu.edu.tw/eng/p5-transportation.php

Registration

Please register before 5PM, August 10, 2019: https://forms.gle/8TGA2D7nZ87v1dGk6

(The seats are limited. Admitted applicants will receive email notifications. )

Overview

The short course is an advanced graduate course in cloud computing and machine learning. This course exposes students to various cloud computing models and introduces them to performing machine learning on the cloud. The course material introduces students to cloud providers and their machine learning service capabilities. Students will learn how to build cloud systems for machine learning, the application characteristics, and develop hands-on experience with programming machine learning applications on these cloud platforms.

Prerequisites

Basic knowledge of programming language, operating system, computer architecture, neural network

Schedule

  • 8/12 (Mon) Introduction to cloud computing & neural network

  • 8/13 (Tue) Virtual machine & hands-on

  • 8/14 (Wed) Container & hands-on

  • 8/15 (Thu) Performance analysis & hands-on

  • 8/16 (Fri) Invited talk: AWS/ Guest speaker: Dr. Louis Lo (羅元佃), VMware Taiwan

Instructor

I-Hsin Chung

IBM T. J. Watson Research Center, USA

I-Hsin Chung received the Ph.D. degree in computer science from the University of Maryland, College Park, in 2004, prior to joining IBM Research. After completing his Ph.D., Dr. Chung joined the IBM Research as a research scientist and worked on performance modeling, tuning and tools. Dr. Chung’s research is in the system architecture area including data-centric computing and high-performance computing. He is currently leading the efforts to co-design for future data center system with the strategic application workloads such as cognitive and cloud computing. His experience includes performance analysis and modeling on IBM platforms such as POWER, mainframe Z Systems, and the Blue Gene systems. He has worked in the system software and performance analysis of world-renowned CORAL and Blue Gene series supercomputer designs. He is also an adjunct faculty of Courant Institute at NYU. He has over 70 published and creative works in top journals and conferences including IEEE TPDS, ACM TOM, JPDC, SC, and IPDPS.

主辦單位：科技部 國家理論科學研究中心數學組

協辦單位：東京大學情報基盤中心，科技部人工智慧技術暨全幅健康照護聯合研究中心，台灣工業與應用數學學會，臺灣大學數學系與應用數學科學研究所

主持人：王偉仲 (台灣大學應數所)，林文偉 (交通大學應數系)，舒宇宸 (成功大學數學系)，黃聰明 (台灣師範大學數學系)

聯絡人：劉馥瑤小姐 (02-3366-8819, claireliu@ncts.ntu.edu.tw)