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6月12日学术报告预告
作者：fanglei
发布日期：2017-06-07
浏览次数：
报告题目：“Acceleration and Application of Distance and Neural Network Algorithm”
报告地点：郁文B105
报告时间：2017年6月12日（周一）下午15:30
主讲：Xiaowei Xu, Postdoctor, University of Notre Dame
摘要：
The amount of data is growing exponentially with the rapid development of information technology. These vast amounts of data bring new challenges: high throughput, high energy efficiency and variety to data mining and especially the bottleneck of data mining-similarity measure. However, as Complementary Metal–Oxide–Semiconductor (CMOS) scaling no longer provides gains in energy efficiency commensurate with transistor density increases, performance and energy efficiency of Central Processing Units (CPUs) become far from satisfaction for processing these huge number of data. Therefore, in this talk two typical similarity measures: Dynamic Time Warping (DTW) for stream data processing and Earth Mover's Distance (EMD) for image processing for performance optimization are discussed. Specially, performance optimization from the perspective of architecture (digital circuit), device (analog circuit) and application (application domain) are achieved.
主讲者简介：
Xiaowei Xu received the B.S. and M.S. degrees in electronic science and technology from Huazhong University of Science and Technology, Wuhan, China, in 2011 and 2014 respectively. He obtained the Ph.D. degree in electronic engineering in the School of Optimal and electronic Information, Huazhong University of Science and Technology, Wuhan, China in 2016. He is currently a postdoctal researcher in the Department of Computer Science at University of Notre Dame at Sonth Bend, IN, USA. His research interests include biometrics, data mining, and embedded computing.He has published more than 20 conference and journal papers inculding some top coferences DAC, BioCAS, IGSC and some top jounals TCAD, TBCAS, etc. He serves as a reviewer for TCAD.
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