ANZ Real-time ML & HPC Symposium and Network 2022
Organised a symposium at the Quantum Terminal.
ANZ Real-time ML & HPC Symposium 2022, 10th June 2022 (2-5pm)
Location: The Quantum Terminal, Central Station Grand Concourse Light Rail Stop (L1), Sydney.
The symposium is hosted by The University of Sydney (USYD) and the University of Technology, Sydney (UTS) through the Digital Central Initiative, and by AMD.
The goal of this symposium is to provide a forum for the discussion of opportunities for collaboration between industry and academia in real-time machine learning (ML) and high performance computing (HPC) in the Australian/New Zealand (ANZ) region.
Topics include real-time machine learning (ML) and high performance computing (HPC) using AMD CPU/GPU and FPGA technology.
Attendees will see real-time machine learning demos from AMD.
Please register here and arrive at 1.45pm for a 2pm start.
Welcome (1400-1415) - Welcome from Prof Philip Leong (he University of Sydney)
Introduction to the Digital Central Initiative
Associate Dean (External Engagement) Ken-Tye Yong, University of Sydney, and
Deputy Dean (Research & Innovation) Michael Blumenstein, University of Technology, Sydney
Panel Session (14:15-15:00) Chair Prof Philip Leong (University of Sydney)
A panel discussion regarding how industry and academia can foster stronger collaborations in the ANZ region.
- Prof Hugh Durrant-Whyte, NSW Chief Scientist and Engineer
- Prof Julie Cairney, Pro-Vice-Chancellor (Research - Enterprise and Engagement), The University of Sydney
- Dr Brett Biddington, Principal Biddington Research Pty Ltd
- Sean Clift, Director Silicon Design Engineering, AMD Radeon Technologies Group
- Prof Ben Eggleton, co-Director, NSW Smart Sensing Network (NSSN)
Invited Presentations (1500-1520) Chair Dr David Boland (University of Sydney)
- Dr Andrew Barton, Research Program Manager, SmartSat CRC
- Prof Fang Chen, Executive Director UTS Data Sci and Distinguished Professor, University of Technology Sydney
Networking Session (15:20-16:00)
Coffee will be provided
Industry Presentations (16:00-16:45) Chair Dr Ben Halkon (University of Technology, Sydney)
- Dr Joe Peng, Regional Sales Manager AMD
Companies give 5 minute presentation on their successes and challenges in FPGA-based machine learning.
- Dr Barry Flower, CEO CruxML Pty Ltd
- Dr Bahman Javadi, Associate Professor, Western Sydney Univeristy
- Dr Peter E. Lawrence, Technical Architect - Signal Processing, Baraja
- Dr Michael Reznik, Microchip Technology Inc
- Dr Mark Wang, Senior Lecturer, Western Sydney Univeristy
- Dr Glenn Dickens, CTO Aria Research