[03-29] Supporting Edge Computing through Resource Management and Energy Efficient Hardware Design----十大网赌网址

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          [03-29] Supporting Edge Computing through Resource Management and Energy Efficient Hardware Design

          文章来源:  |  发布时间:2019-03-26  |  【打印】 【关闭

            

            报告题目:Supporting Edge Computing through Resource Management and Energy Efficient Hardware Design

            报告人:X. Sharon Hu (胡晓波)

            时间:2019年3月29日(周五)上午:9:30 -- 11:30

            地点:五号楼3层334

           

            Abstract:

            Edge computing as a new computing paradigm pushes the frontier of computation, data, and services away from centralized servers to the edge. With the rapid growth in Internet-of-Things (IoT) applications, edge computing is playing an ever more important role in addressing the needs for lowering communication bandwidth, increasing security/privacy and narrowing digital divide. However, edge computing faces many challenges such as severely limited resources, huge diversity in resource types, rapidly changing resources, and scalability. Furthermore, since edge computing must closely interact with physical systems, it usually has to deal with stringent real-time requirements. Tackling these challenges require coordinated efforts in hardware, system as well as application software developments.

            In this talk, I use two specfic application domains that exploit edge computing to highlight some of our research efforts. The first is social sensing where humans and devices on their behalf are used as “sensors” to collect real-time measurements about the physical world. I will present techniques on how to solve the critical problem of allocating delay-sensitive social sensing tasks to heterogeneous edge computing devices. The other domain is intelligent healthcare where energy-efficient system is needed to handle demanding computational workloads. I elaborate the development of hardware-cognizant machine learning algorithms for biomedical image segmentation. I will end the talk summarizing our other efforts in this exciting area of research.

            Bio:

            X. Sharon Hu is a professor in the department of Computer Science and Engineering at the University of Notre Dame, USA. Her research interests include real-time embedded systems, low-power system design, circuit and architecture design with emerging technologies, and hardware/software co-design. She has published more than 300 papers in these areas. Some of her recognitions include the Best Paper Award from the Design Automation Conference and from the International Symposium on Low Power Electronics and Design, and the NSF CAREER award. She has participated in several large industry and government sponsored center-level projects and is a theme leader in an NSF/SRC E2CDA project. She is the General Chair of Design Automation Conference in 2018 and was the TPC chair of DAC in 2015. She also served as Associate Editor for IEEE Transactions on VLSI, ACM Transactions on Design Automation of Electronic Systems, etc. and is an Associate Editor of ACM Transactions on Cyber-Physical Systems. X. Sharon Hu is a Fellow of the IEEE.

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