RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. - Yvan Tortorella; Luca Bertaccini; Davide Rossi; Luca Benini; Francesco Conti 001 (DATE, 2022)

Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training. - Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti 001 (ESSCIRC, 2022)

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. - Luca Valente; Yvan Tortorella; Mattia Sinigaglia; Giuseppe Tagliavini; Alessandro Capotondi; Luca Benini; Davide Rossi (DATE, 2023)

PULP Fiction No More - Dependable PULP Systems for Space. - Markus Ulbricht 002; Yvan Tortorella; Michael Rogenmoser; Li Lu; Junchao Chen 001; Francesco Conti 001; Milos Krstic; Luca Benini (ETS, 2023)

Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs. - Luca Valente; Asif Veeran; Mattia Sinigaglia; Yvan Tortorella; Alessandro Nadalini; Nils Wistoff; Bruno Sá; Angelo Garofalo; Rafail Psiakis; M. Tolba; Ari Kulmala; Nimisha Limaye; et al. (HCS, 2023)

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. - William Fornaciari; Federico Reghenzani; Giovanni Agosta; Davide Zoni; Andrea Galimberti; Francesco Conti 001; Yvan Tortorella; Emanuele Parisi; Francesco Barchi; Andrea Bartolini; Andrea Acquaviva; Daniele Gregori; et al. (SAMOS, 2023)

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. - Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti 001 (CoRR, 2023)

RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration. - Yvan Tortorella; Luca Bertaccini; Luca Benini; Davide Rossi; Francesco Conti 001 (Future Gener. Comput. Syst., 2023)

A Flexible Template for Edge Generative AI with High-Accuracy Accelerated Softmax & GELU. - Andrea Belano; Yvan Tortorella; Angelo Garofalo; Luca Benini; Davide Rossi; Francesco Conti 001 (CoRR, 2024)

A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation. - Luca Valente; Alessandro Nadalini; Asif Hussain Chiralil Veeran; Mattia Sinigaglia; Bruno Sá; Nils Wistoff; Yvan Tortorella; Simone Benatti; Rafail Psiakis; Ari Kulmala; Baker Mohammad; Sandro Pinto 001; et al. (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

RedMulE-FT: A Reconfigurable Fault-Tolerant Matrix Multiplication Engine. - Philip Wiese; Maurus Item; Luca Bertaccini; Yvan Tortorella; Angelo Garofalo; Luca Benini (CF (Companion), 2025)

SoftEx: A Low Power and Flexible Softmax Accelerator with Fast Approximate Exponentiation. - Andrea Belano; Yvan Tortorella; Angelo Garofalo; Luca Benini; Davide Rossi; Francesco Conti 001 (DATE, 2025)

HMR-NEureka: Hybrid Modular Redundancy DNN Acceleration in Heterogeneous RISC-V SoCs. - Luigi Ghionda; Riccardo Tedeschi; Yvan Tortorella; Arpan Suravi Prasad; Davide Rossi; Luca Benini; Francesco Conti 001 (ISVLSI, 2025)

Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-core Computing Clusters for Reliable Processing in Space. - Michael Rogenmoser; Yvan Tortorella; Davide Rossi; Francesco Conti 001; Luca Benini (ACM Trans. Cyber Phys. Syst., 2025)

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications. - Angelo Garofalo; Alessandro Ottaviano; Matteo Perotti; Thomas Benz; Yvan Tortorella; Robert Balas; Michael Rogenmoser; Chi Zhang; Luca Bertaccini; Nils Wistoff; Maicol Ciani; Cyril Koenig; et al. (CoRR, 2025)

Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing. - Mattia Sinigaglia; Amirhossein Kiamarzi; Marco Bertuletti; Luigi Ghionda; Mattia Orlandi; Riccardo Tedeschi; Aurora Di Giampietro; Yvan Tortorella; Luca Bertaccini; Simone Benatti; Giuseppe Tagliavini; Luca Benini; et al. (CoRR, 2025)

A Flexible Template for Edge Generative AI With High-Accuracy Accelerated Softmax and GELU. - Andrea Belano; Yvan Tortorella; Angelo Garofalo; Luca Benini; Davide Rossi; Francesco Conti 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)