Binqi Sun


Address  

Chair of Cyber-Physical Systems in Production Engineering
School of Engineering and Design, Technical University of Munich
MW 2101a, Boltzmannstraße 15, 85748 Garching b. München

Phone  

+49 89 289 55183

Email  

binqi.sun@tum.de

Links  

        

Publications


Journals

Binqi Sun, Tomasz Kloda, Sergio Arribas Garcia, Giovani Gracioli, Marco Caccamo,  "Minimizing cache usage with fixed-priority and earliest deadline first scheduling",  in Real-Time Systems,  Jun 2024.

Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo,  "Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning",  in IEEE Transactions on Computers,  Vol. 73,  Issue 4,  Jan 2024.

Conferences

Binqi Sun, Tomasz Kloda, Marco Caccamo,  "Response time analysis for fixed-priority preemptive uniform multiprocessor systems",  in Euromicro Conference on Real-Time Systems (ECRTS),  No. 14,  Lille, France,  Jul 2024.

Binqi Sun, Tomasz Kloda, Chu-ge Wu, Marco Caccamo,  "Partitioned Scheduling and Parallelism Assignment for Real-Time DNN Inference Tasks on Multi-TPU",  in Design Automation Conference (DAC),  San Francisco,  Jun 2024.

Binqi Sun, Tomasz Kloda, Marco Caccamo,  "Strict Partitioning for Sporadic Rigid Gang Tasks",  in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS),  Hong Kong,  May 2024.

Binqi Sun, Debayan Roy, Tomasz Kloda, Andrea Bastoni, Rodolfo Pellizzoni, Marco Caccamo,  "Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?",  in IEEE Real-Time Systems Symposium (RTSS),  Taipei,  Dec 2023.

Binqi Sun, Tomasz Kloda, Sergio Arribas Garcia, Giovani Gracioli, Marco Caccamo,  "Minimizing Cache Usage for Real-time Systems",  in 31st International Conference on Real-Time Networks and Systems (RTNS),  Dortmund, Germany,  Jun 2023 (Best Paper Award).

Binqi Sun, Tomasz Kloda, Jiyang Chen, Cen Lu, Marco Caccamo,  "Schedulability Analysis of Non-preemptive Sporadic Gang Tasks on Hardware Accelerators",  in 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS),  San Antonio, USA,  May 2023.

Zhishen Zhang, Yuwen Shen, Binqi Sun, Tomasz Kloda, Marco Caccamo,  "Memory allocation for low-power real-time embedded microcontroller: a case study",  in Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),  Stuttgart, Germany,  Sep 2022.