新闻和活动

30.10.2020
As Moore’s law-based device scaling and accompanying performance scaling trends slow down, and the rapid growth of data-intensive applications in the era of “Internet of Things” and “Big Data”, there are increasing interests in emerging technologies and computational paradigms that enable more efficient information processing. Meanwhile, in the context of traditional Boolean circuits and/or von Neumann architectures, it is challenging for beyond-CMOS devices to compete with the CMOS technology as simple replacements. Exploiting the unique characteristics of emerging devices – especially in the context of alternative circuits and architectural paradigms – indicates a promising approach to further improve the information processing capability of hardware. In this talk, I will show how our research work has leveraged the unique characteristics of emerging devices to build efficient circuits and architectures with significant improvements in area, energy and performance. Specifically, I will consider Ferroelectric FETs (FeFETs) which are nonvolatile and can function as both a transistor and a storage element. This unique property enables FeFETs to be used for building efficient computing-in-memory (CiM) circuits called content addressable memories (CAMs). CAMs perform the parallel search function across the memory blocks, thus are desirable in many applications including IP routers and advanced machine learning hardware. Using models calibrated by experimentally fabricated devices as well as cross-layer design approaches, we show that the FeFET-based CAM designs could enable orders of magnitude improvements in energy efficiency and performance when considering application-level computing tasks. Biography Xunzhao Yin is an assistant professor of the College of Information Science and Electronic Engineering at Zhejiang University. He received his Ph.D. degree in Computer Science and Engineering from University of Notre Dame in 2019 and B.S. degree in Electronic Engineering from Tsinghua University in 2013, respectively. His research interests include emerging circuit/architecture designs and novel computing paradigms with both CMOS and emerging technologies. He has published more than 30 top journals and conferences, including Nature Electronics, IEEE TCAD, IEEE TED, IEEE TVLSI, IEEE TCAS-II, IEEE Design & Test, ICCAD, DATE, IEDM, etc. He has received the best paper award nomination of ICCAD 2020, the Outstanding Research Assistant Award in the department of CSE at University of Notre Dame in 2017, and Bronze medal of Student Research Competition at ICCAD 2016, etc. Read more
12.09.2019
为加强科大与在职专业人员的互动,科大成立了持续进修学院,总部设在深港特别合作示范区福田保税区。其总部位于深港特别合作示范区福田保税区。已于2019年底装修完毕并可随时投入使用。 为将科研成果产业化,港科大-持续进修学院将在深港特别合作示范区福田保税区成立,为工业界提供科技教育支持。 学院将设在地标性的长富金茂大厦,隶属工程学院,同时为科大各部门和办公室提供一个与中国香港及内地高等教育机构和业界接触的平台。 作为一所盈利性的学院,我们将立足国际,致力成为一个提供高质量高层管理教育及高科技与行业发展动态分享的专业培训中心。学院将举办短期课程、工作坊、研讨会,并推动联合计划、研究和产业合作。 学院已获得福田区政府和工程学院的资金支持,并由电子与计算机工程学院陈文新教授担任创始主任。 持续进修学院位于超高层建筑的37层,是福田区政府与科大深圳研究院协议提供给科大的三层楼之一。科大将在大楼的40层开设数据科学、金融科技、机器人和自动化等实验室,而41层将为科大的创业群体提供孵化空间和支持服务。
  Read more