7 citations · 9 across the 24 of their papers we have counts for
8 papers · 1 filter
A Direct Memory Access Controller (DMAC) for Irregular Data Transfers on RISC-V Linux Systems
Thomas Benz, Axel Vanoni, Michael Rogenmoser +1
With the ever-growing heterogeneity in computing systems, driven by modern machine learning applications, pressure is increasing on memory systems to handle arbitrary and more dema…
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)…
relOBI: A Reliable Low-latency Interconnect for Tightly-Coupled On-chip Communication
Michael Rogenmoser, Angelo Garofalo, Luca Benini
On-chip communication is a critical element of modern systems-on-chip (SoCs), allowing processor cores to interact with memory and peripherals. Interconnects require special care i…
RedMulE-FT: A Reconfigurable Fault-Tolerant Matrix Multiplication Engine
Philip Wiese, Maurus Item, Luca Bertaccini +3
As safety-critical applications increasingly rely on data-parallel floating-point computations, there is an increasing need for flexible and configurable fault tolerance in paralle…
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…
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…
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…