Guest lecture: Analysis and Optimization of Resource-Constrained Embedded Systems

Dr. Zonghua Gu, associate professor, Zhejiang University, China.

26.09.2017 | Anja Torup Hansen

Dato tor 28 sep
Tid 13:00 14:00
Sted Room 120E, building 5125, Finlandsgade 22, 8200 Aarhus N

Abstract
My research addresses challenges in design, analysis, and implementation of complex real-time and embedded systems, especially focusing on issues related to real-time and hardware resource constraints. Mass-produced consumer products such as cars are very cost-sensitive, since even a small decrease in Bill-of-Materials cost may lead to large savings to the product vender. As a result, embedded developers tend to choose the cheapest hardware components that can satisfy performance/timing constraints, and have to cope with limited CPU computing power and memory size during application development. My research aims to provide a set of algorithms and techniques for real-time analysis and design optimization of resource-constrained embedded systems. I will highlight some of my recent work, ranging from program level, where I address tradeoffs between a program's worst-case execution time, energy consumption and reliability; to processor level, where I address real-time scheduling and optimization algorithms on uni and multicore processor platforms; to system level, where I address security-aware system-level design optimization issues. I will also discuss future research directions, including embedded machine learning. embedded control systems design, and applications in smart mobility.

Zonghua Gu received his Ph.D. degree in Computer Science and Engineering from the University of Michigan at Ann Arbor in 2004. He is currently an associate professor at Zhejiang University, China. His research area is real-time embedded and cyber-physical systems.

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