collaborators

5 papers

cs.DC2025

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors

Alessandro Ottaviano, Andrino Meli, Paul Scheffler +5

Managing energy and thermal profiles is critical for many-core HPC processors with hundreds of application-class processing elements (PEs). Advanced model predictive control (MPC)…

cs.AR2025

CVA6-VMRT: A Modular Approach Towards Time-Predictable Virtual Memory in a 64-bit Application Class RISC-V Processor

Christopher Reinwardt, Robert Balas, Alessandro Ottaviano +2

The increasing complexity of autonomous systems has driven a shift to integrated heterogeneous SoCs with real-time and safety demands. Ensuring deterministic WCETs and low-latency…

cs.AR2025

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications

Angelo Garofalo, Alessandro Ottaviano, Matteo Perotti +20

Next-generation mixed-criticality Systems-on-chip (SoCs) for robotics, automotive, and space must execute mixed-criticality AI-enhanced sensor processing and control workloads, ens…

cs.AR2025

Towards Reliable Systems: A Scalable Approach to AXI4 Transaction Monitoring

Chaoqun Liang, Thomas Benz, Alessandro Ottaviano +3

In safety-critical SoC applications such as automotive and aerospace, reliable transaction monitoring is crucial for maintaining system integrity. This paper introduces a drop-in T…

cs.AR2025

AXI-REALM: Safe, Modular and Lightweight Traffic Monitoring and Regulation for Heterogeneous Mixed-Criticality Systems

Thomas Benz, Alessandro Ottaviano, Chaoqun Liang +6

The automotive industry is transitioning from federated, homogeneous, interconnected devices to integrated, heterogeneous, mixed-criticality systems (MCS). This leads to challenges…