Search Results for author: Yvan Tortorella

Found 3 papers, 1 papers with code

A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation

no code implementations7 Jan 2024 Luca Valente, Alessandro Nadalini, Asif Veeran, Mattia Sinigaglia, Bruno Sa, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi

To the best of the authors' knowledge, it is the first silicon prototype of a ULP SoC coupling the RV64 and RV32 cores in a heterogeneous host+accelerator architecture fully based on the RISC-V ISA.

Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space

no code implementations15 Mar 2023 Michael Rogenmoser, Yvan Tortorella, Davide Rossi, Francesco Conti, Luca Benini

To mitigate the overheads of traditional radiation hardening and modular redundancy approaches, we present a novel Hybrid Modular Redundancy (HMR) approach, a redundancy scheme that features a cluster of RISC-V processors with a flexible on-demand dual-core and triple-core lockstep grouping of computing cores with runtime split-lock capabilities.

RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration

1 code implementation10 Jan 2023 Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti

The increasing interest in TinyML, i. e., near-sensor machine learning on power budgets of a few tens of mW, is currently pushing toward enabling TinyML-class training as opposed to inference only.

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