activity
20232026
most citedEdge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

29 citations · 39 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2026

EnerInfer: Energy-Aware On-Device LLM Inference

Bohua Zou, Nian Liu, Binqi Sun +6

On-device LLM inference is increasingly attractive for privacy-preserving, reliable, and cost-effective deployment, yet its energy and thermal costs remain a critical bottleneck. E…

cs.SE2026

ProfInfer: An eBPF-based Fine-Grained LLM Inference Profiler

Bohua Zou, Debayan Roy, Dhimankumar Yogesh Airao +4

As large language models (LLMs) move from research to production, understanding how inference engines behave in real time has become both essential and elusive. Unlike general-purp…

math.OC2025

Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems

Binqi Sun, Zhihang Wei, Andrea Bastoni +5

Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling,…

eess.SY2024

PretVM: Predictable, Efficient Virtual Machine for Real-Time Concurrency

Shaokai Lin, Erling Jellum, Mirco Theile +10

This paper introduces the Precision-Timed Virtual Machine (PretVM), an intermediate platform facilitating the execution of quasi-static schedules compiled from a subset of programs…

cs.DC2024★ 9 cited

Strict Partitioning for Sporadic Rigid Gang Tasks

Binqi Sun, Tomasz Kloda, Marco Caccamo

The rigid gang task model is based on the idea of executing multiple threads simultaneously on a fixed number of processors to increase efficiency and performance. Although there i…

cs.AR2023★ 1 cited

Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?

Binqi Sun, Debayan Roy, Tomasz Kloda +3

Cache partitioning techniques have been successfully adopted to mitigate interference among concurrently executing real-time tasks on multi-core processors. Considering that the ex…

cs.LG2023★ 29 cited

Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

Binqi Sun, Mirco Theile, Ziyuan Qin +4

Directed acyclic graph (DAG) tasks are currently adopted in the real-time domain to model complex applications from the automotive, avionics, and industrial domains that implement…