Ming Yang

I am a Ph.D. candidate in the Department of Computer Science in The University of North Carolina at Chapel Hill. I am advised by Dr. James H. Anderson in the Real-Time Systems Group.

I earned Master's degree in Computer Science from The University of North Carolina at Chapel Hill in May 2018 and Bachelor of Engineer degree in Software Engineer from Tongji University in June 2015.

Office: Sitterson SN147

Email: yang at cs dot unc dot edu

Papers

M. Yang, T. Amert, K. Yang, N. Otterness, J. Anderson, F. D. Smith, and S. Wang, “Making OpenVX Really `Real Time'”, Proceedings of the 39th IEEE Real-Time Systems Symposium, December 2018, to appear. PDF.

M. Yang, N. Otterness, T. Amert, J. Bakita, J. Anderson, and F. D. Smith, “Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems”, Proceedings of the 30th Euromicro Conference on Real-Time Systems, pp. 20:1-20:21, July 2018. PDF. Slides.

T. Amert, N. Otterness, M. Yang, J. Anderson, and F.D. Smith, “GPU Scheduling on the NVIDIA TX2: Hidden Details Revealed”, Proceedings of the 38th IEEE Real-Time Systems Symposium, pp. 93-104, December 2017. PDF.

M. Yang and J. Anderson, “Response-Time Bounds for Concurrent GPU Scheduling”, Proceedings of 29th Euromicro Conference on Real-Time Systems Work in Progress Session, pp. 13-15, June 2017. 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, pp. 47-52, June 2017. PDF.

N. Otterness, M. Yang, S. Rust, E. Park, J. Anderson, F.D. Smith, A. Berg, and S. Wang, “An Evaluation of the NVIDIA TX1 for Supporting Real-Time Computer-Vision Workloads”, Proceedings of the 23rd IEEE Real-Time and Embedded Technology and Applications Symposium, 353-363, April 2017. PDF.

K. Yang, M. Yang, and J. Anderson, “Reducing Response-Time Bounds for DAG-Based Task Systems on Heterogeneous Multicore Platforms”,  Proceedings of the 24th International Conference on Real-Time Networks and Systems, pp. 349-358, October 2016. PDF. Longer version with additional graphs: PDF.

N. Otterness, V. Miller, M. Yang, J. Anderson, and F.D. Smith, “GPU Sharing for Image Processing in Embedded Real-Time Systems”, Proceedings of 12th Annual Workshop on Operating Systems Platforms for Embedded Real-Time Applications, pp. 23-29, July 2016. PDF. Longer version with more data: PDF.

C. Nemitz, K. Yang, M. Yang, P. Ekberg, and J. Anderson, “Multiprocessor Real-Time Locking Protocols for Replicated Resources”, Proceedings of the 28th Euromicro Conference on Real-Time Systems, pp. 50-60, July 2016. PDF. Version with online appendices: PDF.

Work Experience

General Motors R&D: Autonomous Driving, Summer 2016/2017/2018.

Misc.

Slides: CUDA programming model

Reviewed: JSS'18, ECRTS'18, TII'17