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Publications

Journal Papers

  1. Zhuoran Zhao, Kamyar Mirzazad and Andreas Gerstlauer, "Network-level Design Space Exploration of Resource-constrained Networks-of-Systems," in ACM Transactions on Embedded Computing Systems (TECS), vol. 19, no. 4, pp. 22:1–22:26, June 2020.

  2. Kamyar Mirzazad, Zhuoran Zhao and Andreas Gerstlauer, "Quality/Latency-Aware Real-time Scheduling of Distributed Streaming IoT Applications," in ACM Transactions on Embedded Computer Systems (TECS), Special Issue on Embedded Systems Week (ESWEEK), International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), vol. 18, no. 5s, pp. 83:1–83:23, October 2019.

  3. Zhuoran Zhao, Kamyar Mirzazad and Andreas Gerstlauer, "DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Special Issue on Embedded Systems Week (ESWEEK) 2018, International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), vol. 37, no. 11, pp. 2348-2359, October 2018.

  4. Zhuoran Zhao, Andreas Gerstlauer and Lizy K. John, "Source-Level Performance, Energy, Reliability, Power and Thermal (PERPT) Simulation," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 36, no. 2, pp. 299-312, February 2017.

Conference Papers

  1. Kamyar Mirzazad, Zhuoran Zhao and Andreas Gerstlauer, "Quality/Latency-Aware Real-time Scheduling of Distributed Streaming IoT Applications," in Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), New York, USA, October 2019.

  2. Rafael Stahl, Zhuoran Zhao, Daniel Mueller-Gritschneder, Andreas Gerstlauer and Ulf Schlichtmann, "Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices," in Proceedings of the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), Samos, Greece, July 2019.

  3. Zhuoran Zhao, Kamyar Mirzazad and Andreas Gerstlauer, "DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters," in Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Turin, Italy, October 2018.

  4. Zhuoran Zhao, Vasileios Tsoutsouras, Dimitrios Soudris and Andreas Gerstlauer, "Network/System Co-Simulation for Design Space Exploration of IoT Applications," in Proceedings of the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), Samos, Greece, July 2017.

  5. Zhuoran Zhao, Dongwook Lee, Andreas Gerstlauer, "Host-Compiled Reliability Modeling for Fast Estimation of Architectural Vulnerabilities," in IEEE Workshop on Silicon Errors in Logic, System Effects (SELSE), Austin, Texas, March 2015.

  6. Zhuoran Zhao, Gary R. Morrison, Andreas Gerstlauer, "EagaCal: Automated ADL Model Calibration Tool," in Semiconductor Research Corporation (SRC) TECHCON, Austin, Texas, September 2014.

  7. Suhas Chakravarty, Zhuoran Zhao, Andreas Gerstlauer, "Automated, Retargetable Back-Annotation for Host-Compiled Performance and Power Modeling," in Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Montreal, Canada, October 2013.

  8. Lauren Guckert, Mike O'Connor, Satheesh Kumar Ravindranath, Zhuoran Zhao, Vijay Janapa Reddi, "A Case for Persistent Caching of Compiled JavaScript Code in Mobile Web Browsers," in Workshop On Architectural And Microarchitectural Support For Binary Translation (AMAS-BT), Tel Aviv, Israel, June 2013.

  9. Suhas Chakravarty, Zhuoran Zhao, Andreas Gerstlauer, "Automated, Retargetable Back-Annotation for Host Compiled Performance and Power Modeling," in Semiconductor Research Corporation (SRC) TECHCON, Austin, Texas, September 2013. (Best in Session Award)

Thesis

  1. Zhuoran Zhao, "Network-Level Design Space Exploration of Resource-Constrained Networks-of-Systems," Ph.D. Dissertation, Electrical and Computer Engineering, University of Texas at Austin, 2019.