Jeffrey S. Vetter | Oak Ridge National Laboratory, United States

Biography: Jeffrey Vetter, Ph.D., is a Corporate Fellow at Oak Ridge National Laboratory (ORNL), where he is also the Section Head for Advanced Computer Systems Research and the founding director of the Experimental Computing Laboratory (ExCL). Vetter earned his Ph.D. in Computer Science from the Georgia Institute of Technology. Vetter is a Fellow of the IEEE and AAAS, and a Distinguished Scientist Member of the ACM. In 2010, Vetter, as part of an interdisciplinary team from Georgia Tech, NYU, and ORNL, was awarded the ACM Gordon Bell Prize. In 2020, in collaboration with a large team from IBM and LLNL, Vetter was awarded the SC20 Test of Time award for the paper from SC02, entitled “An Overview of the Blue Gene/L Supercomputer.” In 2015, Vetter served as the SC15 Technical Program Chair. His recent books, entitled “Contemporary High Performance Computing: From Petascale toward Exascale (Vols. 1-3),” survey the international landscape of HPC. Learn more information at https://vetter.github.io/.

Keynote Title: Deep Codesign in the Post-Exascale Computing Era

Keynote Abstract: DOE has just deployed its first Exascale system at ORNL, so now is an appropriate time to revisit our Exascale predictions from over a decade ago and think about post-Exascale. We are now seeing a Cambrian explosion of new technologies during this ‘golden age of architectures,’ making codesign of architectures with software and applications more critical than ever. In this talk, I will revisit Exascale trajectory, survey post-Exascale technologies, and discuss their implications for both system design and software. As an example, I will describe Abisko, a new microelectronics codesign project, that focuses on designing a chiplet for analog spiking neural networks using novel neuromorphic materials.


Jungsang Kim | IonQ & Duke University, United States

Biography: Jungsang Kim, Ph.D. is a Co-Founder and Chief Technology Officer of IonQ, which was founded in 2015 with his long-time colleague, Dr. Chris Monroe, to commercialize quantum computers. IonQ is the leading provider of quantum computing technology offering best-in-class quantum computing services using trapped ion technology. Kim is also the Schiciano Family Distinguished Professor of Electrical & Computer Engineering and Physics at Duke University, where he has led many collaborative research and development projects at the frontier of foundational quantum computing technologies since 2004.

Prior to joining Duke University, Kim was a Technical Manager and a Member of Technical Staff at Bell Laboratories, Lucent Technologies, between 1999-2004. There, he led a team to develop the world’s largest optical crossconnect switch for optical communications, as well as digital antenna technology for improving in-building coverage of cellular phones and data services in the wireless communication network.

Kim received his Bachelor’s degree in Physics from Seoul National University in Seoul, Korea in 1992, and his Ph.D. degree also in Physics from Stanford University in Stanford, CA, USA in 1999. He is a Fellow of the American Physical Society and Optica (formerly Optical Society of America), and a Senior Member of the Institute of Electrical and Electronics Engineers. Kim served as an inaugural member of the National Quantum Initiative Advisory Committee for USA starting 2020.

Keynote Title: Prospect for Practical Applications using Quantum Computers

Keynote Abstract: Quantum computing provides an entirely new paradigm of computation compared to the traditional digital computing, using fundamentally different laws of physics. In that sense, it is different from all other forms of alternative computing platforms that have been developed to date. Although in its early days, quantum computing is known to effectively tackle computational problems that are considered intractable using even the most powerful computers of our time. Trapped ion is the leading candidate for realizing practically useful quantum computers as it features highest performance of quantum computational operations. Introduction of advanced integration technologies has converted complex atomic physics experiments into a stand-alone programmable quantum computer, which is commercially available today. In this presentation, I will discuss the operating principles and performance characterization for advanced trapped ion quantum computers at the applications level. I will also discuss several application areas and use cases where quantum computers can make a practical contribution to the computational frontier.