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信息学院学术报告:Emerging Technologies in Computing

发布日期:2017-10-11 作者:信息科学与工程学院

亿万先生官网网址域名链接:  在学习交流中,大家认为,习近平总书记在省部级主要领导干部专题研讨班上的重要讲话,深刻阐述了党的十八大以来党和国家事业发展的历史性变革,深刻阐述了新的历史条件下坚持和发展中国特色社会主义的一系列重大理论和实践问题,深刻阐明了未来一个时期党和国家事业发展的大政方针和行动纲领,提出了一系列新的重要思想、重要观点、重大判断、重大举措,为党的十九大胜利召开奠定了重要的政治、思想和理论基础,具有重大政治意义、理论意义、实践意义。在民主评议党员中,也发现一些党员长期不发挥作用甚至起负面作用,不合格表现突出,群众意见较大,影响党的形象和战斗力。他们喊着响亮的口号,洋溢着青春风采,成为校园里一道亮丽的风景。。

报告人Giovanni De Micheli  

报告时间201710271000-1100

报告地点:信息学院5楼报告厅

 

 报告人介绍: Giovanni De Micheli是瑞士洛桑联邦理工学院(EPFL)教授、电子工程系主任,2017年当选美国人文与科学院(AAAS)外籍院士,ACM FellowIEEE Fellow、欧洲科学院院士。此前,他是美国斯坦福大学电气工程学院的教授。他于1980年和1983年获得加利福尼亚大学伯克利分校电气工程和计算机科学的硕士和博士学位。他的研究领域包括集成电路和系统不同方面的设计技术,如新兴技术合成、片上网络和3D集成。他还致力于异构平台设计,包括电器元件和传感器,以及生物医学信息的数据处理。他著有书籍《数字电路综合与优化》, McGraw-Hill, 1994。他合著和合编有八本其他书籍和超过 750 篇技术论文。根据谷歌学术搜索,他的引用 h-index达到93。他还是IMECCfAED 和意法半导体公司的科学咨询委员会委员。

 

摘要:The evolution of computing over the years has lead to very different realizations, ranging from portable electronics to supercomputing. At the same time, embedded computing permeates every day’s life, as demonstrated by the increasing presence of computing in vehicles (e.g., self-driving vehicles), in the workplace (from smart office to smart factory), to health care, and – last but not least – to the Internet of Things (IoT). There is an increasing demand of computational power as well as of reduced energy consumption, two competing factors that are not obvious to reconcile. The current semiconductor technologies, mainly FinFETs and FDSoI, provide us with a robust physical means of addressing computing requirements, but a strong interest is placed now in how to enhance the current devices (in terms of performance and functionality) with new materials as well as how to use these materials to realize completely novel devices. Medium term enhancement of silicon technology includes tunnel FETs and NanoWire (NW) transistors, which both can address low-power solutions. Current realizations of Si NW transistors include both horizontal and vertical arrangements, the latter being very effective for increasing device density. Recent research has also shown the usefulness of Carbon NanoTubes (CNTs) in realizing simple but scalable computational engines, as well as 2-Dimensional materials, such and MoS2 to realize transistors. A different approach to increasing the computational effectiveness of transistors, as well as avoiding some variability problems, is electrostatic doping, i.e., the realization of transistors that can have electrically-programmable polarity. Such devices have been realized on various substrates, such as SiNW, CNTs and WSe2 in experimental forms. Electrical programmability is achieved by a secondary gate, thus making the atomic computing element into a 4-terminal device. From a logic and architectural abstraction standpoint, these devices are switches activated by a comparison, thus semantically more powerful than regular transistors. The mapping of computing structures on controllable-polarity substrates provides thus new challenges, and it has shown to be effective for arithmetic blocks where binate logic functions abound. Design algorithms, methods and tools, such as those based on majority algebra, are both important investigation and design means for these new technologies. Eventually, the evolution of semiconductor technology will bring us the fusion of sensors with computation, thus enabling new computing modalities and interaction with the physical environment. Namely, heterogeneous integration can be exemplified by the biological functionalization of Si NWs, that can make them into miniaturized and effective biosensors for medical and environmental needs. Broadly speaking, geometry downscaling, material hybridization and multi-layer integration are the ingredients for more diverse and powerful computing paradigms in the years to come.