Innovating Next Generation Computer Architecture in Big Data Era: Think Big, See Small
|讲座名称||Innovating Next Generation Computer Architecture in Big Data Era: Think Big, See Small|
|讲座人||Prof. Tao Li|
|讲座人介绍||Dr. Tao Li is a full professorin the Department of Electrical and Computer Engineering at the University of Florida. He received a Ph.D. in Computer Engineering from the University of Texas at Austin. His research interests include computer architecture, high-performance, energy-efficient, dependable and sustainablecomputer systems, big data, cloud computing, data centers, the impact of emerging technologies and applications on hardware and operating/run-time systems, and evaluation of computer systems. Dr. Tao Li received 2009 National Science Foundation Faculty Early CAREER Award, 2008, 2007, 2006 IBM Faculty Awards, 2008 Microsoft Research Safe and Scalable Multi-core Computing Award and 2006 Microsoft Research Trustworthy Computing Curriculum Award. Dr. Tao Li co-authored two papers that won the Best Paper Award in ICCD 2016 and HPCA 2011 and six papers that were nominated for the Best Paper Awards in HPCA 2017, ICPP 2015, CGO 2014, DSN 2011, MICRO 2008 and MASCOTS 2006. Dr. Tao Li is one of the College of Engineering winners, University of Florida Doctor Dissertation Advisor/Mentoring Award for 2013-2014 and 2011-2012. Dr. Tao Li served as the General Chair of 2014 International Symposium on High Performance Computer Architecture.|
|讲座内容||Computer architecture forms the foundation of society’s information technology. This foundation, which was laid several decades ago, is facing grand challenges today as power limits and reduced semiconductor reliability make it increasingly more difficult to leverage CMOS scaling, and the shift towards data centers, cloud computing, big data analytics and deep learning will includesustainability requirements fortraditional architectures. At the same time, there are emerging technologies such as green and clean energy computing, scalable memory devices, advanced integration and interconnect methodologies that can be game-changers in the future. A new plethora of computer architectures can be built by exploiting innovative concepts, mechanisms and implementations that take advantages of these emerging technologies while addressing new design challenges in big data era.
In this talk, Prof. Tao Li will address the opportunities and challenges of integrating renewable energy technologies that enable high-performance and sustainable computer and data center architectures. Designing renewable energy driven computer systems poses various challenges in terms of intelligent control strategies for better energy utilization, optimizations for reducing overhead, and improving reliability.New mechanisms for data centers will be discussed, which can achieve high efficiency and dependability in utilizing renewable energy. Moreover, Prof. Tao Li will address the challenges and opportunities of fully exploiting the potential of emerging non-volatile memory technologies to improve computer system memory performance, power-efficiency and reliability for big data applications. Although technology scaling provides smaller and denser devices, it makesachieving these design goals increasingly challenging.