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Yvan Tortorella
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2020 – today
- 2024
- [j2]Luca Valente
, Alessandro Nadalini
A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2266-2279 (2024) - [i6]Luca Valente, Alessandro Nadalini, Asif Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation. CoRR abs/2401.03531 (2024) - 2023
- [j1]Yvan Tortorella
RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration. Future Gener. Comput. Syst. 149: 122-135 (2023) - [c6]Luca Valente
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. DATE 2023: 1-6 - [c5]Markus Ulbricht, Yvan Tortorella, Michael Rogenmoser, Li Lu, Junchao Chen, Francesco Conti, Milos Krstic
PULP Fiction No More - Dependable PULP Systems for Space. ETS 2023: 1-10 - [c4]Luca Valente
Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs. HCS 2023: 1-12 - [c3]William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, Francesco Conti, Yvan Tortorella
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. SAMOS 2023: 363-378 - [i5]Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti:
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration. CoRR abs/2301.03904 (2023) - [i4]Michael Rogenmoser, Yvan Tortorella, Davide Rossi, Francesco Conti, Luca Benini:
Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space. CoRR abs/2303.08706 (2023) - [i3]Angelo Garofalo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti:
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. CoRR abs/2303.17954 (2023) - 2022
- [c2]Yvan Tortorella, Luca Bertaccini, Davide Rossi, Luca Benini, Francesco Conti:
RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. DATE 2022: 1099-1102 - [c1]Angelo Garofalo, Matteo Perotti, Luca Valente
Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training. ESSCIRC 2022: 273-276 - [i2]Yvan Tortorella, Luca Bertaccini, Davide Rossi, Luca Benini, Francesco Conti:
RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. CoRR abs/2204.11192 (2022) - [i1]Luca Valente, Yvan Tortorella, Mattia Sinigaglia, Giuseppe Tagliavini, Alessandro Capotondi, Luca Benini, Davide Rossi:
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. CoRR abs/2211.14944 (2022)
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