Faculty Profiles

Arafat, A. A., Wilson, K., Yang, K., & Guo, Z. (2024). Dynamic Priority Scheduling of Multi-Threaded ROS 2 Executor With Shared Resources. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Special Issue for the 24th ACM SIGBED International Conference on Embedded Software (EMSOFT), 43(11), 3732–3743. https://doi.org/10.1109/TCAD.2024.3445259

Zhou, Y., Guo, Z., Dong, Z., & Yang, K. (2024). Multi-Accelerator Neural Network Inference via TensorRT in Heterogeneous Embedded Systems. In Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 463–472). IEEE Computer Society Press. https://doi.org/10.1109/COMPSAC61105.2024.00070

Jiang, Z., Yang, K., Fisher, N., Guan, N., Audsley, N., & Dong, Z. (2024). Hopscotch: A Hardware-Software Co-design for Efficient Cache Resizing on Multi-core SoCs. IEEE Transactions on Parallel and Distributed Systems (TPDS), 35(1), 89–104. https://doi.org/10.1109/TPDS.2023.3332711

Guo, Z., Vaidhun, S., Arafat, A. A., Guan, N., & Yang, K. (2023). Stealing Static Slack via WCRT and Sporadic P-Servers in Deadline-Driven Scheduling. In Proceedings of the 44th IEEE Real-Time Systems Symposium (RTSS) (pp. 40–52). IEEE Computer Society Press. https://doi.org/10.1109/RTSS59052.2023.00014

Zhou, Y., Guo, Z., Dong, Z., & Yang, K. (2023). TensorRT Implementations of Model Quantization on Edge SoC. In Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 486–493). IEEE. https://doi.org/10.1109/MCSoC60832.2023.00078

Tian, A., Guerra John, E., & Yang, K. (2023). Poster: Unraveling Reward Functions for Head-to-Head Autonomous Racing in AWS DeepRacer. In Proceedings of the 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS) (pp. 592–594). ACM Press. https://doi.org/10.1145/3565287.3617987

McCalip, J., Pradhan, M., & Yang, K. (2023). Reinforcement Learning Approaches for Racing and Object Avoidance on AWS DeepRacer. In Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 958–961). IEEE Computer Society Press. https://doi.org/10.1109/COMPSAC57700.2023.00129

Arafat, A. A., Vaidhun, S., Liu, L., Yang, K., & Guo, Z. (2023). Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model. In Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 67–79). IEEE Computer Society Press. https://doi.org/10.1109/RTAS58335.2023.00013

Jiang, Z., Yang, K., Fisher, N., Gray, I., Audsley, N., & Dong, Z. (2023). AXI-ICRT: Towards a Real-Time AXI-Interconnect for Highly Integrated SoCs. IEEE Transactions on Computers (TC), 72(3), 786–799. https://doi.org/10.1109/TC.2022.3179227

Vaidhun, S., She, T., Gu, Q., Das, S. K., Yang, K., & Guo, Z. (2023). Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors. IEEE Transactions on Computers (TC), 72(1), 43–54. https://doi.org/10.1109/TC.2022.3197078

Jiang, Z., Yang, K., Ma, Y., Fisher, N., Audsley, N., & Dong, Z. (2023). Towards Hard Real-Time and Energy-Efficient Virtualization for Many-core Embedded Systems. IEEE Transactions on Computers (TC), 72(1), 111–126. https://doi.org/10.1109/TC.2022.3207115

Zhou, Y., & Yang, K. (2022). Exploring TensorRT to Improve Real-Time Inference for Deep Learning. In Proceedings of the 18th IEEE International Conference on Embedded Software and Systems (ICESS) (pp. 2011–2018). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00299

She, T., Guo, Z., & Yang, K. (2022). Precise Scheduling Mixed-Criticality Gang Tasks with Reserved Processors. In Proceedings of the 9th International Workshop on Mixed Criticality Systems (WMC) (pp. 25–30).

Jiang, Z., Yang, K., Fisher, N., Audsley, N., & Dong, Z. (2022). Towards an Energy-Efficient Quarter-Clairvoyant Mixed-Criticality System. Journal of Systems Architecture (JSA), 130, 102683:1-17. https://doi.org/10.1016/j.sysarc.2022.102683

Jiang, Z., Yang, K., Audsley, N., Fisher, N., Shi, W., & Dong, Z. (2022). BlueScale: A Scalable Memory Architecture for Predictable Real-Time Computing on Highly Integrated SoCs. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC) (pp. 1261–1266). ACM Press. https://doi.org/10.1145/3489517.3530612

She, T., Guo, Z., & Yang, K. (2022). Scheduling Constrained-Deadline Tasks in Precise Mixed-Criticality Systems on a Varying-Speed Processor. In Proceedings of the 30th International Conference on Real-Time Networks and Systems (RTNS) (pp. 94–102). ACM Press. https://doi.org/10.1145/3534879.3534897

Guo, Z., Vaidhun, S., Satinelli, L., Arefin, S., Wang, J., & Yang, K. (2022). Mixed-Criticality Scheduling upon Permitted Failure Probability and Dynamic Priority. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(1), 62–75. https://doi.org/10.1109/TCAD.2021.3053232

Dong, Z., Yang, K., Fisher, N., & Liu, C. (2021). Tardiness Bounds for Sporadic Gang Tasks under Preemptive Global EDF Scheduling. IEEE Transactions on Parallel and Distributed Systems (TPDS), 32(12), 2867–2879. https://doi.org/10.1109/TPDS.2021.3081019

Jiang, Z., Yang, K., Ma, Y., Fisher, N., Audsley, N., & Dong, Z. (2021). I/O-GUARD: Hardware/Software Co-Design for I/O Virtualization with Guaranteed Real-Time Performance. In Proceedings of the 58th ACM/IEEE Design Automation Conference (DAC) (pp. 1159–1164). IEEE Press. https://doi.org/10.1109/DAC18074.2021.9586156

She, T., Guo, Z., Gu, Q., & Yang, K. (2021). Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks. In Proceedings of the27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (pp. 104–109). IEEE Computer Society Press. https://doi.org/10.1109/RTCSA52859.2021.00020

Bhuiyan, A., Yang, K., Arefin, S., Saifullah, A., Guan, N., & Guo, Z. (2021). Mixed-Criticality Real-Time Scheduling of Gang Task Systems. Real-Time Systems, 57(3), 268–301. https://doi.org/10.1007/s11241-021-09368-1

Jiang, Z., Audsley, N., Shi, D., Yang, K., Fisher, N., & Dong, Z. (2021). Brief Industry Paper: AXI-InterconnectRT: Towards a Real-Time AXI-Interconnect in System-on-Chips. In Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 437–440). IEEE Computer Society Press. https://doi.org/10.1109/RTAS52030.2021.00046

Voronov, S., Anderson, J. H., & Yang, K. (2021). Tardiness Bounds for Fixed-Priority Global Scheduling without Intra-Task Precedence Constraints. Real-Time Systems, 57(1), 4–54. https://doi.org/10.1007/s11241-020-09360-1

She, T., Vaidhun, S., Gu, Q., Das, S. K., Guo, Z., & Yang, K. (2021). Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors. In Proceedings of the 29th International Conference on Real-Time Networks and Systems (RTNS) (pp. 134–143). ACM Press. https://doi.org/10.1145/3453417.3453428

Jiang, Z., Yang, K., Fisher, N., Audsley, N., & Dong, Z. (2020). Pythia-MCS: Enabling Quarter-Clairvoyance in I/O-Driven Mixed-Criticality Systems. In Proceedings of the 41st IEEE Real-Time Systems Symposium (RTSS) (pp. 38–50). IEEE Computer Society Press. https://doi.org/10.1109/RTSS49844.2020.00015

Yang, K., & Dong, Z. (2020). Mixed-Criticality Scheduling in Compositional Real-Time Systems with Multiple Budget Estimates. In Proceedings of the 41st IEEE Real-Time Systems Symposium (RTSS) (pp. 25–37). IEEE Computer Society Press. https://doi.org/10.1109/RTSS49844.2020.00014

Yang, K., Bhuiyan, A., & Guo, Z. (2020). F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor. In Proceedings of the 39th IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (pp. 1–9). ACM Press. https://doi.org/10.1145/3400302.3415716

Guo, Z., Yang, K., Yao, F., & Awad, A. (2020). Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling. In Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing (SAC) (pp. 218–226). ACM Press. https://doi.org/10.1145/3341105.3374014

Dong, Z., Shi, W., Tong, G., & Yang, K. (2020). Collaborative Autonomous Driving: Vision and Challenges. In Proceedings of the 3rd IEEE International Conference on Connected and Autonomous Driving (MetroCAD) (pp. 17–26). IEEE. https://doi.org/10.1109/MetroCAD48866.2020.00010

Yang, K., & Dong, Z. (2019). Mixed-Criticality Scheduling with Varying Processor Supply in Compositional Real-Time Systems. In Proceedings of the 7th International Workshop on Mixed Criticality Systems (WMC) (pp. 26–31).

Bhuiyan, A., Yang, K., Arefin, S., Saifullah, A., Guan, N., & Guo, Z. (2019). Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. In Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS) (pp. 469–480). IEEE Computer Society Press. https://doi.org/10.1109/RTSS46320.2019.00048

Bhuiyan, A., Guo, Z., Sruti, S., & Yang, K. (2019). Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. In Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS) (pp. 123–132). ACM Press. https://doi.org/10.1145/3356401.3356410

Yang, K., & Guo, Z. (2019). EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. In Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (pp. 1–6). IEEE Computer Society Press. https://doi.org/10.1109/RTCSA.2019.8864559

Guo, Z., Yang, K., Vaidhun, S., Arefin, S., Das, S. K., & Xiong, H. (2018). Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. In Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS) (pp. 373–383). IEEE Computer Society Press. https://doi.org/DOI 10.1109/RTSS.2018.00052

Yang, M., Amert, T., Yang, K., Otterness, N., Anderson, J. H., Smith, F. D., & Wang, S. (2018). Making OpenVX Really “Real Time.” In Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS) (pp. 80–93). IEEE Computer Society Press. https://doi.org/10.1109/RTSS.2018.00018

Voronov, S., Anderson, J. H., & Yang, K. (2018). Tardiness Bounds for Fixed-Priority Global Scheduling without Intra-Task Precedence Constraints. In Proceedings of the 26th International Conference on Real-Time Networks and Systems (RTNS) (pp. 8–18). ACM Press. https://doi.org/10.1145/3273905.3273913

Guo, Z., Santinelli, L., & Yang, K. (2018). Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. In Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA) (pp. 187–199). Springer. https://doi.org/10.1007/978-3-319-99933-3_13

Yang, K., & Anderson, J. H. (2017). On the Soft Real-Time Optimality of Global EDF on Uniform Multiprocessors. In Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS) (pp. 319–330). IEEE Computer Society Press. https://doi.org/10.1109/RTSS.2017.00037

Yang, K., & Anderson, J. H. (2016). On the Dominance of Minimum-Parallelism Multiprocessor Supply. In Proceedings of the 37th IEEE Real-Time Systems Symposium (RTSS) (pp. 215–226). IEEE Computer Society Press. https://doi.org/10.1109/RTSS.2016.029

Yang, K., Yang, M., & Anderson, J. H. (2016). Reducing Response-Time Bounds for DAG-Based Task Systems on Heterogeneous Multicore Platforms. In Proceedings of the 24th International Conference on Real-Time Networks and Systems (RTNS) (pp. 349–358). ACM Press. https://doi.org/10.1145/2997465.2997486

Nemitz, C. E., Yang, K., Yang, M., Ekberg, P., & Anderson, J. H. (2016). Multiprocessor Real-Time Locking Protocols for Replicated Resources. In Proceedings of the 28th Euromicro Conference on Real-Time Systems (ECRTS) (pp. 50–60). IEEE Computer Society Press. https://doi.org/10.1109/ECRTS.2016.29

Yang, K., & Anderson, J. H. (2016). Tardiness Bounds for Global EDF Scheduling on a Uniform Multiprocessor. In Proceedings of the 7th International Real-Time Scheduling Open Problems Seminar (RTSOPS) (pp. 3–4).

Elliott, G. A., Yang, K., & Anderson, J. H. (2015). Supporting Real-Time Computer Vision Workloads using OpenVX on Multicore+GPU Platforms. In Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS) (pp. 273–284). IEEE Computer Society Press. https://doi.org/10.1109/RTSS.2015.33

Yang, K., Elliott, G. A., & Anderson, J. H. (2015). Analysis for Supporting Real-Time Computer Vision Workloads using OpenVX on Multicore+GPU Platforms. In Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS) (pp. 77–86). ACM Press. https://doi.org/10.1145/2834848.2834863

Yang, K., & Anderson, J. H. (2015). On the Soft Real-Time Optimality of Global EDF on Multiprocessors: From Identical to Uniform Heterogeneous. In Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (pp. 1–10). IEEE Computer Society Press. https://doi.org/10.1109/RTCSA.2015.14

Guo, Z., Santinelli, L., & Yang, K. (2015). EDF Schedulability Analysis on Mixed-Criticality Systems with Permitted Failure Probability. In Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (pp. 187–196). IEEE Computer Society Press. https://doi.org/10.1109/RTCSA.2015.8

Yang, K., & Anderson, J. H. (2015). An Optimal Semi-Partitioned Scheduler for Uniform Heterogeneous Multiprocessors. In Proceedings of the 27th Euromicro Conference on Real-Time Systems (ECRTS) (pp. 199–210). IEEE Computer Society Press. https://doi.org/10.1109/ECRTS.2015.25

Yang, K., & Anderson, J. H. (2014). Optimal GEDF-Based Schedulers that Allow Intra-Task Parallelism on Heterogeneous Multiprocessors. In Proceedings of the 12th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia) (pp. 30–39). IEEE Computer Society Press. https://doi.org/10.1109/ESTIMedia.2014.6962343

Yang, K., & Anderson, J. H. (2014). Soft Real-Time Semi-Partitioned Scheduling with Restricted Migrations on Uniform Heterogeneous Multiprocessors. In Proceedings of the 22nd International Conference on Real-Time Networks and Systems (RTNS) (pp. 215–224). ACM Press. https://doi.org/10.1145/2659787.2659808