Princeton University

School of Engineering & Applied Science

The Case for Labeled Computer Architecture: New Interfaces of Conveying High-level Information to the Hardware

Speaker: 
Yungang Bao, Institute of Computing Technology (ICT)
Location: 
B205 Engineering Quadrangle
Date/Time: 
Thursday, July 12, 2018 - 4:00pm

Abstract:
Conventional computer architecture usually expresses and conveys software requirements to the hardware by instruction set architecture (ISA) and virtual memory mechanism, which fail to express emerging requirements such as quality-of-service (QoS) and security. To address this challenge, we propose a new computer architecture -- Labeled von Neumann Architecture (LvNA), which enables a new hardware/software interface by introducing a hardware labeling mechanism to convey software’s semantic information such as QoS and security to the underlying hardware. In this talk, I will present LvNA's principles and demonstrate a RISC-V based FPGA prototype (a.k.a. Labeled RISC-V) that has been already open-sourced (see more at ISCA2018 tutorial: http://sdc.ict.ac.cn/isca2018-tutorial/). During the talk, I'd also like to share the story how I was inspired by SDN and came up with the LvNA idea when I was doing postdoc at Princeton in 2012. 
 
Bio:
Yungang Bao is a Professor of Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) and the director of Center of Advanced Computer Systems (ACS) of ICT. His research interests include computer architecture and systems and serves on program committees of ASPLOS, ISCA, MICRO, SC and ICS etc. His research work such as Labeled von Neumann Architecture (LvNA), Hybrid Memory Trace Tool (HMTT), Partition-Based DMA Cache (absorbed and implemented in Intel's DDIO technology) and PARSEC 3.0 has been adopted by industry including Alibaba, Huawei, Intel and the research community. He was selected out to be the youngest plenary keynote speaker at China National Computer Congress (CNCC) with 5,000 audiences in 2016 and was invited to give keynote presentation at ARM Research Summit 2018. He received B.S. degree from Nanjing University in 2003 and his Ph.D. degree from ICT in 2008 and was a post-doctoral researcher of Princeton University during 2010-2012.