19 citations · 22 across the 6 of their papers we have counts for
6 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…
Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
Raphael Trumpp, Denis Hoornaert, Mirco Theile +1
Residual policy learning (RPL), in which a learned policy refines a static base policy using deep reinforcement learning (DRL), has shown strong performance across various robotic…
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…
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
Raphael Trumpp, Denis Hoornaert, Marco Caccamo
The development of vehicle controllers for autonomous racing is challenging because racing cars operate at their physical driving limit. Prompted by the demand for improved perform…
RT-Bench: an Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications
Mattia Nicolella, Shahin Roozkhosh, Denis Hoornaert +2
Benchmarking is crucial for testing and validating any system, even more so in real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibi…
Relational Memory: Native In-Memory Accesses on Rows and Columns
Shahin Roozkhosh, Denis Hoornaert, Ju Hyoung Mun +5
Analytical database systems are typically designed to use a column-first data layout to access only the desired fields. On the other hand, storing data row-first works great for ac…