Yvan Tortorella
Orcid: 0000-0001-8248-5731
According to our database1,
Yvan Tortorella
authored at least 11 papers
between 2022 and 2024.
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Bibliography
2024
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024
A Flexible Template for Edge Generative AI with High-Accuracy Accelerated Softmax & GELU.
CoRR, 2024
2023
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., December, 2023
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training.
CoRR, 2023
Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space.
CoRR, 2023
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023
Proceedings of the 35th IEEE Hot Chips Symposium, 2023
Proceedings of the IEEE European Test Symposium, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022
RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022