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ORCIDYvan Tortorella
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2020 – today
- 2024
[j2]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, Daniele Palossi, Luca Benini, Davide Rossi:
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, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi:
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation. CoRR abs/2401.03531 (2024) - 2023
- [j1]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. Future Gener. Comput. Syst. 149: 122-135 (2023) - [c6]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. DATE 2023: 1-6 - [c5]Markus Ulbricht, Yvan Tortorella, Michael Rogenmoser, Li Lu, Junchao Chen, Francesco Conti, Milos Krstic, Luca Benini:
PULP Fiction No More - Dependable PULP Systems for Space. ETS 2023: 1-10 - [c4]Luca Valente, Asif Veeran, Mattia Sinigaglia, Yvan Tortorella, Alessandro Nadalini, Nils Wistoff, Bruno Sá, Angelo Garofalo, Rafail Psiakis, M. Tolba, Ari Kulmala, Nimisha Limaye, Ozgur Sinanoglu, Sandro Pinto, Daniele Palossi, Luca Benini, Baker Mohammad, Davide Rossi:
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, Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Daniele Gregori, Salvatore Cognetta, Carlo Ciancarelli, Antonio Leboffe, Paolo Serri, Alessio Burrello, Daniele Jahier Pagliari, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa:
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, Yvan Tortorella, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti:
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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