Yvan Tortorella | DeepAI

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research

∙ 03/31/2023

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

On-chip DNN inference and training at the Extreme-Edge (TinyML) impose s...

0 Angelo Garofalo, et al. ∙

research

∙ 01/10/2023

RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration

The increasing interest in TinyML, i.e., near-sensor machine learning on...

0 Yvan Tortorella, et al. ∙

research

∙ 11/27/2022

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC

IoT applications span a wide range in performance and memory footprint, ...

0 Luca Valente, et al. ∙

research

∙ 04/24/2022

RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs

The fast proliferation of extreme-edge applications using Deep Learning ...

0 Yvan Tortorella, et al. ∙