Rice Efficient Computing Group

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The Rice Efficient Computing Group (RECG) develops efficient technologies for future computing, communication and interfacing. In the recent years, we have focused on mobile systems. It is our mission to provide enabling technologies for mobile systems in another decade beyond form factors like smartphone and tablet. Our current research projects include system software, wireless subsystems, and hardware architecture.

The Efficient Computing Group is led by Prof. Lin Zhong and is located in Duncan Hall. The research laboratory is located in 3039 Duncan Hall.

  • If you enjoy building systems and find our recent work interesting, contact any of us for opportunities in undergraduate and graduate research assistantships.

Selected Recent Publications (Full list)

  • Ginseng: Keeping secrets in registers when you distrust the operating system (NDSS 2019) (Preprint)
  • A characterization of state spill in modern operating systems (EuroSys 2017) (PDF)
  • RedEye: Analog ConvNet image sensor architecture for continuous mobile vision (ISCA 2016) (PDF)
  • Rio: a system solution for sharing I/O between mobile systems (MobiSys 2014) (PDF, received Best Paper Award)
  • K2: a mobile operating system for heterogeneous coherence domains (ASPLOS 2014) (PDF, received Best Paper Award)
  • Argos: practical base stations with many antennas (MobiCom 2012) (PDF)

Selected Demos

Min Hong Yun, Songtao He, and Lin Zhong, "Reducing latency by eliminating synchrony," in Proc. the World Wide Web Conference (WWW), April 2017. (PDF, source code and benchmarks)

Ardalan Amiri Sani, Kevin Boos, Min Hong Yun, and Lin Zhong, "Rio: A System Solution for Sharing I/O between Mobile Systems," in Proc. ACM MobiSys, June 2014.(PDF, Source code) (Best Paper Award)

Jiayang Liu, Zhen Wang, Lin Zhong, Jehan Wickramasuriya, and Venu Vasudevan, "uWave: Accelerometer-based personalized gesture recognition and its applications," in IEEE Int. Conf. Pervasive Computing and Communication (PerCom), March 2009. (PDF, source code and library data) (Best Paper Award)

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