Keynote Talk

Advanced Co-design of Deep Learning Algorithms and Hardware Accelerators

Dr. Deming Chen
Abel Bliss Professor of Engineering

University of Illinois at Urbana-Champaign, USA

Time: Wed, Dec 9th, 2020 at 6:00 PM (EST)

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Abstract: In a conventional top-down design flow, deep-learning algorithms are first designed concentrating on the model accuracy, and then accelerated through hardware accelerators trying to meet various system design targets on power, energy, speed, and cost. However, this approach often does not work well because it ignores the impacts and physical constraints that the hardware architectures themselves would have towards the deep neural network (DNN) algorithm design and deployment. Thus, an ideal scenario is that algorithms and their hardware accelerators are developed simultaneously. In this talk, we will present our DNN/Accelerator co-design and co-search methods. Our results have shown great promises for delivering high-performance hardware-tailored DNNs and DNN-tailored accelerators naturally and elegantly. One of the DNN models coming out of this co-design method, called SkyNet, won a double championship in the competitive DAC System Design Contest for both the GPU and the FPGA tracks for low-power object detection in 2019.

Bio: Dr. Deming Chen obtained his BS in computer science from University of Pittsburgh, Pennsylvania in 1995, and his MS and PhD in computer science from University of California at Los Angeles in 2001 and 2005 respectively. He joined the ECE department of University of Illinois at Urbana-Champaign in 2005. His current research interests include reconfigurable computing, machine learning and cognitive computing, system-level and high-level synthesis, and hardware security. He has given more than 120 invited talks sharing these research results worldwide. He has received 9 Best Paper Awards, a few Best Poster Awards, and numerous other research and service related awards. He is the Donald Willett Faculty Scholar and the Abel Bliss Professor of the Grainger College of Engineering, an IEEE Fellow, an ACM Distinguished Speaker, and the Editor-in-Chief of ACM Transactions on Reconfigurable Technology and Systems (TRETS).