| ∘ |
Bohua Zou, Debayan Roy, Dhimankumar Yogesh Airao, Weihao Xu, Binqi Sun, Yutao Liu, Haibo Chen,
"ProfInfer: An eBPF-based Fine-Grained LLM Inference Profiler",
in Annual Conference on Machine Learning and Systems (MLSys),
Bellevue, USA,
May 2026 (to appear).
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| ∘ |
Binqi Sun, Jinyang Li, Tomasz Kloda, Tarek Abdelzaher, Marco Caccamo,
"AI Inference in the Heat: Thermal-Aware Strict Partitioning for Configurable Real-Time Gang Tasks",
in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS),
Saint Malo, France,
May 2026 (to appear).
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| ∘ |
Binqi Sun, Linghan Fang, Andrea Bastoni, and Marco Caccamo,
"Work-in-Progress: Learning to refine priority assignment in fixed-priority real-time scheduling",
in IEEE Real-Time Systems Symposium (RTSS),
Boston, USA,
Dec 2025.
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| ∘ |
Binqi Sun, Bohua Zou, Yigong Hu, Tomasz Kloda, Ling Wang, Tarek Abdelzaher, Marco Caccamo,
"SAPar: A Surrogate-Assisted DNN Partitioner for Efficient Inferences on Edge TPU Pipelines",
in ACM International Conference on Embedded Software (EMSOFT),
Taipei,
Sep 2025.
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| ∘ |
Shaokai Lin, Erling Jellum*, Mirco Theile*, Tassilo Tanneberger*, Binqi Sun*, Chadlia Jerad*, Ruomu Xu, Guangyu Feng, Magnus Mæhlum, Jian-Jia Chen, Marten Lohstroh, Linh Thi Xuan Phan, Jeronimo Castrillon, Sanjit Seshia, and Edward Lee,
"Quasi-Static Scheduling for Deterministic Timed Concurrent Models on Multi-Core Hardware",
in ACM International Conference on Embedded Software (EMSOFT),
Taipei,
Sep 2025.
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| ∘ |
Binqi Sun, Zhihang Wei, Andrea Bastoni, Debayan Roy, Mirco Theile, Tomasz Kloda, Rodolfo Pellizzoni, Marco Caccamo,
"Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems",
in Euromicro Conference on Real-Time Systems (ECRTS),
Brussels, Belgium,
Jul 2025.
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| ∘ |
Jinyang Li, Yizhuo Chen, Ruijie Wang, and Tomoyoshi Kimura, Tianshi Wang, You Lyu, Hongjue Zhao, Binqi Sun, Shangchen Wu, Yigong Hu, Denizhan Kara, Beitong Tian, Klara Nahrstedt, Suhas Diggavi, Jae H Kim, Greg Kimberly, Guijun Wang, Maggie Wigness, Tarek A,
"RestoreML: Practical Unsupervised Tuning of Deployed Intelligent IoT Systems",
in International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT),
Lucca, Italy,
Jun 2025.
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| ∘ |
Bohua Zou, Binqi Sun, Yigong Hu, Tomasz Kloda, Marco Caccamo, and Tarek Abdelzaher,
"A Performance Prediction-based DNN Partitioner for Edge TPU Pipelining",
in IEEE Military Communications Conference (MILCOM),
Washington DC, USA,
Nov 2024.
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| ∘ |
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.
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| ∘ |
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.
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| ∘ |
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.
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| ∘ |
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.
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| ∘ |
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).
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| ∘ |
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.
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| ∘ |
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.
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