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龙8国际dt客户端--Machine Learning for Chip Design and Chip Design for Machine Learning
发布时间:2018/06/05  浏览次数: 次  来源:

 

报告题目:Machine Learning for Chip Design and Chip Design for Machine Learning

报告时间:2018 6 7 日 上午 1030

报告地点:金花校区教六楼1115会议室

报告专家:

http://sist.shanghaitech.edu.cn/upload/image/201401062105092664.png    周平强,工学博士,上海科技大学信息学院研究员/博导。20128月在美国明尼苏达大学获得博士学位,2012-2013年在明尼苏达大学进行博士后研究。

主要从事EDA、计算机系统架构等方面的研究。在国内外重要期刊和会议如IEEE TCAD/TVSIDAC/ICCAD等上面发表学术论文近40篇,主持国家自然科学基金项目1项。 担任《ACM SIGDA Newsletter》等国际刊物编委,以及IEEE/ACM DAC/ICCAD/ASP-DAC等多个重要国际会议程序委员/分会场主席等职务。

 


报告内容:

As an important area of research with many promising applications and opportunities for innovation, machine learning, especially deep learning, is being increasing connected with the underlying computing hardware, in a bi-directional manner.  Machine learning techniques help address many challenging problems in the hardware design. At the same time, customized intelligent hardware provides a fundamental enabler for machine learning applications. This talk will first present a few examples on how machine learning techniques can be used to tackle the hardware design problems. Then I will discuss a few potential topics to explore on how to customize the architecture for machine learning. This talk will also contain brief introduction to ShanghaiTech University.

欢迎广大师生积极参加!

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