9 citations · 9 across the 7 of their papers we have counts for
7 papers
Tensor Memory Engine: On-the-fly Data Reorganization for Ideal Locality
Denis Hoornaert, Cole Strickler, Manos Athanassoulis +3
The shift to data-intensive processing from the cloud to the edge has introduced new challenges and expectations for the next generation of intelligent computing systems. As the me…
ETM2: Empowering Traditional Memory Bandwidth Regulation using ETM
Alexander Zuepke, Ashutosh Pradhan, Daniele Ottaviano +2
The Embedded Trace Macrocell (ETM) is a standard component of Arm's CoreSight architecture, present in a wide range of platforms and primarily designed for tracing and debugging. I…
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,…
Arm DynamIQ Shared Unit and Real-Time: An Empirical Evaluation
Ashutosh Pradhan, Daniele Ottaviano, Yi Jiang +4
The increasing complexity of embedded hardware platforms poses significant challenges for real-time workloads. Architectural features such as Intel RDT, Arm QoS, and Arm MPAM are e…
Light Virtualization: a proof-of-concept for hardware-based virtualization
Francesco Ciraolo, Mattia Nicolella, Denis Hoornaert +2
Virtualization has become widespread across all computing environments, from edge devices to cloud systems. Its main advantages are resource management through abstraction and impr…
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
Tobias Betz, Long Wen, Fengjunjie Pan +6
The automotive industry is transitioning from traditional ECU-based systems to software-defined vehicles. A central role of this revolution is played by containers, lightweight vir…
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…