Platform-Based Reconfugurable Computing Design

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• Prof. Neil Bergmann, University of Queensland
• Wednesday 28 July 2010, 16:00-16:40
• Huxley Building Room 343.

If you have a question about this talk, please contact w.luk.

Reconfigurable computing design is hard. Experienced embedded systems engineers can still take many weeks or months to get a reconfigurable system-on-chip working, even without the complication of dynamic reconfiguration. DR makes design exponentially harder. The required knowledge base is broad and deep, and very vendor-specific. The search for a “one-size-fits-all” design methodology is most likely flawed.

This talk proposes a design methodology based on platforms. A platform is a design framework which already has all the infrastructure for a reconfigurable system on chip – all that needs to be added is the application specific content – specific hardware and software module designs. A platform is necessarily domain specific – a platform for high-speed image processing is not the same as one for low-power wireless sensors. Some thoughts on possible frameworks in terms of design languages, design abstractions, operating systems, network on chip, I/O, and dynamic reconfigurability will be presented.

Also a quick summary of other reconfigurable computing research projects at UQ will be presented.

Speaker Bio:

Professor Neil Bergmann is currently Professor of Embedded Systems in the School of Information Technology and Electrical Engineering at The University of Queensland, Brisbane Australia.

He has bachelor degrees in Electrical Engineering, Computer Science, and Mathematics from UQ, and a PhD in Computer Science from University of Edinburgh, UK. During his PhD studies he worked in the area of VLSI CAD tools, including coding of the F.I.R.S.T. silicon compiler, a specialist silicon compiler for signal processing algorithms. His current research interests are in VLSI architectures to support digital audio, image and video processing, and in recent years his work has concentrated on reconfigurable computing architectures and embedded systems.

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