My research primarily focuses on Real-Time Systems that utilize one or more accelerators, and the related schedulability and response-time bound challenges. My specific application area is autonomous driving systems.


Peer-Reviewed Journal Papers:


Peer-Reviewed Conference Papers:

  • T. Amert and C. Nemitz, “Taking One for the Team: Trading Overhead and Blocking for Optimal Critical-Section Granularity with a Shared GPU”, Proceedings of the 32nd International Conference on Real-Time Networks and Systems (RTNS), November 2024, to appear. PDF.

    • Winner: best paper award.

    • Winner: outstanding presentation award. Presentation.







Other Conference Papers:


Peer-Reviewed Workshop Papers:

  • C.E. Nemitz and T. Amert, “Optimizing Lock Granularity for Non-Nested Resource Access under the Priority-Ceiling Protocol”, Proceedings of the 2nd Workshop on OPtimization for Embedded and ReAl-time systems (OPERA), December 2024. PDF.

  • T. Amert and Catherine Nemitz, “Work-in-Progress: Impacts of Critical-Section Granularity When Accessing Shared Resources”, Proceedings of the 44th IEEE Real-Time Systems Symposium (RTSS), pp. 439-442, December 2023. PDF.

  • T. Amert, “Challenges in Real-Time GPU Management”, Proceedings of the 13th Junior Researchers Workshop on Real-Time Computing (JRWRTC), pp. 5-8, November 2019. PDF.

  • N. Otterness, M. Yang, T. Amert, J. Anderson, and F.D. Smith, “Inferring the Scheduling Policies of an Embedded CUDA GPU”, Proceedings of 13th Annual Workshop on Operating Systems Platforms for Embedded Real-Time Applications (OSPERT), pp. 47-52, June 2017. PDF.


Competitions:

  • F1/10 Autonomous Racing Competition at CPS-IoTWeek in Montreal, Canada, April 2019. UNC team (alphabetically): Tanya Amert, Charlotte Dorn, Manish Goyal, Abolfazal Karimi, and Nathan Otterness, led by Dr. Parasara Sridhar Duggirala.

    • Winner: 1st place in time trials and head-to-head races.

Dissertation:


Other Publications: