3 papers
cs.AR2025
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
Simone Manoni, Paul Scheffler, Luca Zanatta +3
Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challe…
cs.AR2025
Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6
Umberto Laghi, Simone Manoni, Emanuele Parisi +1
In this work, we present the design and evaluation of a Processor Tracing System compliant with the RISC-V Efficient Trace specification for Instruction Branch Tracing. We integrat…
cs.CR2024
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust
Emanuele Parisi, Alberto Musa, Simone Manoni +5
Modern RISC-V platforms control and monitor security-critical systems such as industrial controllers and autonomous vehicles. While these platforms feature a Root-of-Trust (RoT) to…