3 citations · 6 across the 8 of their papers we have counts for
8 papers
Fixed-Priority and EDF Schedules for ROS2 Graphs on Uniprocessor
Oren Bell, Harun Teper, Mario Günzel +2
This paper addresses limitations of current scheduling methods in the Robot Operating System (ROS)2, focusing on scheduling tasks beyond simple chains and analyzing arbitrary Direc…
Optimizing Age-of-Information in Piggyback Networks with Recurrent Data Generation
Ching-Chi Lin, Mario Günzel, Jian-Jia Chen
Age-of-information (AoI) is a critical metric that quantifies the freshness of data in communication systems. In the era of the Internet of Things (IoT), data collected by resource…
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter
Ching-Chi Lin, Mario Günzel, Junjie Shi +3
Ensuring timing guarantees for every individual tasks is critical in real-time systems. Even for periodic tasks, providing timing guarantees for tasks with segmented self-suspendin…
Bridging the Gap between ROS~2 and Classical Real-Time Scheduling for Periodic Tasks
Harun Teper, Oren Bell, Mario Günzel +2
The Robot Operating System 2 (ROS~2) is a widely used middleware that provides software libraries and tools for developing robotic systems. In these systems, tasks are scheduled by…
EDF-Like Scheduling for Self-Suspending Real-Time Tasks
Mario Günzel, Kuan-Hsun Chen, Jian-Jia Chen
In real-time systems, schedulability tests are utilized to provide timing guarantees. However, for self-suspending task sets, current suspension-aware schedulability tests are limi…
Bit Error Tolerance Metrics for Binarized Neural Networks
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen +5
To reduce the resource demand of neural network (NN) inference systems, it has been proposed to use approximate memory, in which the supply voltage and the timing parameters are tu…
Response-Time Analysis and Optimization for Probabilistic Conditional Parallel DAG Tasks
Niklas Ueter, Mario Günzel, Jian-Jia Chen
Real-time systems increasingly use multicore processors in order to satisfy thermal, power, and computational requirements. To exploit the architectural parallelism offered by the…
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen +6
Non-volatile memory, such as resistive RAM (RRAM), is an emerging energy-efficient storage, especially for low-power machine learning models on the edge. It is reported, however, t…