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cs.AR2026★ 1 cited
CVA6-CFI: A First Glance at RISC-V Control-Flow Integrity Extensions
Simone Manoni, Emanuele Parisi, Riccardo Tedeschi +3
This work presents the first design, integration, and evaluation of the standard RISC-V extensions for Control-Flow Integrity (CFI). The Zicfiss and Zicfilp extensions aim at prote…
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…