6 papers
CVA6-RT: an Open-Source Time-Predictable RV64 Processor for Mixed-Criticality Systems
Enrico Zelioli, Christopher Reinwardt, Nils Wistoff +4
This work presents CVA6-RT, a real-time micro-architectural extension of the CVA6 core to bound worst-case latency and reduce task's timing execution variability. CVA6-RT implement…
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)…
ControlPULPlet: A Flexible Real-time Multi-core RISC-V Controller for 2.5D Systems-in-package
Alessandro Ottaviano, Robert Balas, Tim Fischer +3
The growing complexity of real-time control algorithms with increasing performance demands, along with the shift to 2.5D technology, drive the need for scalable controllers to mana…
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…
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…
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…