講座名稱：基于機器學習的特定應(yīng)用NoC的有效設(shè)計空間探索

講座時間：2019-06-22 10:00:00

講座地點：西電北校區(qū)東大樓221學術(shù)報告廳

講座人：Ulf Schlichtmann

講座人介紹：

Ulf Schlichtmann，博士，教授，德國慕尼黑工業(yè)大學全職講席教授，慕尼黑工業(yè)大學EDA實驗中心主任，曾/現(xiàn)擔任德國英飛凌科技部門主管以及最高管理層成員，德國國家科學與工程院成員，新加坡慕尼黑工業(yè)大學研究中心主任。2007年至2013年擔任慕尼黑工業(yè)大學電子與計算機工程學院副院長和院長，2016年擔任慕尼黑工業(yè)大學董事會成員和教授任命委員會委員。Schlichtmann教授發(fā)表了250多篇頂級期刊和會議論文，獲得了多項會議的最佳論文提名和最佳論文獎，包括Design, Automation and Test in Europe (DATE) 2017最佳論文獎。

講座內(nèi)容：

In this talk, I will give a brief overview of the ongoing research topics in the Chair of Electronic Design Automation (EDA) at Technical University of Munich (TUM), covering analysis and optimization of electronic circuits and systems as well as emerging technologies such as biochips and photonic interconnect. Thereafter, our research on Multi-Processor Systems-on-Chip (MPSoCs) with an increasing number of heterogeneous processing elements will be presented in detail. Since the traffic requirements on the Network on Chip (NoC) become more and more unbalanced, the NoC network architecture must be customized according to the needs of the application at hand. In this talk, I will introduce two approaches for the acceleration of design space exploration (DSE) through machine learning techniques.

主辦單位：微電子學院