Bits + Neurons + Qubits for the Future of Computing: Big Opportunity for Design Automation Research (or is it?)
Abstract:
The future of computing will look fundamentally different, built upon bits + neurons + qubits, and will enable the next generation of computing systems for the unprecedented rate of scientific-driven discovery. The demand for higher computing capacity and intelligent processing is stronger than ever before. Will this create new opportunities for the fundamental design automation research? In this talk, I will go over the recent trends in new computing paradigm and its implications to the fundamental design automation research, by providing the overview of a few related interesting transformative projects that are in progress within IBM research Design Automation department. Then, I will (try to) conclude that this is an exciting time to be a computer & electrical engineers with tremendous opportunities lying ahead.
Biography:
Gi-Joon Nam received his B.S in Computer Engineering from Seoul National University and MS and Ph.D degrees in Computer Science and Engineering from the University of Michigan, Ann Arbor. Since then, Gi-Joon is with IBM research organization. He's currently a principal research scientist and manager at the IBM. T. J. Watson Research Center managing design automation department. Prior this, he managed the Optimized Analytics System department in the IBM Austin Research Lab working on the workload-optimized systems for big data applications. In the past 20+ years, Gi-Joon has been involved with variety of projects in IBM such as EDA (Electronic Design Automation) software development for IBM's in-house Place&Route tools, processor designs for IBM's flagship P & Z microprocessors, the system & memory architecture research for big data applications, cognitive computing and smart planet projects etc, and today he's continuously seeking for new ideas to cause troubles within the research organization.
ZOOM LINK: https://duke.zoom.us/j/96442361358?pwd=WW5vZExLYzlMaldkdTRERllZeDhUQT09
PASSCODE: 210138
