Yvan Tortorella
Orcid: 0000-0001-8248-5731
According to our database1,
Yvan Tortorella
authored at least 17 papers
between 2022 and 2025.
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Bibliography
2025
A Flexible Template for Edge Generative AI With High-Accuracy Accelerated Softmax and GELU.
IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2025
Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing.
CoRR, March, 2025
A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications.
CoRR, February, 2025
Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-core Computing Clusters for Reliable Processing in Space.
ACM Trans. Cyber Phys. Syst., January, 2025
HMR-NEureka: Hybrid Modular Redundancy DNN Acceleration in Heterogeneous RISC-V SoCs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025
SoftEx: A Low Power and Flexible Softmax Accelerator with Fast Approximate Exponentiation.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
Proceedings of the 22nd ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2025
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
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