Neural Approximate Accelerator Architecture Optimization for DNN Inference on Lightweight FPGAs (NA³Os)

Third party funded individual grant


Acronym: NA³Os

Start date : 01.05.2024

End date : 30.04.2027

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices (2025) Hernandez Morales JJ, Hannig F, Teich J Conference contribution, Original article On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers (2024) Deutel M, Hannig F, Mutschler C, Teich J Journal article, Original article Accelerating DNNs using Weight Clustering on RISC-V Custom Functional Units (2024) Sabih M, Sesli B, Hannig F, Teich J Conference contribution, Conference Contribution Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs (2024) Sabih M, Karim A, Wittmann J, Hannig F, Teich J Conference contribution, Conference Contribution Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods (2023) Sabih M, Yayla M, Hannig F, Teich J, Chen JJ Conference contribution, Conference Contribution Fault-Tolerant Low-Precision DNNs using Explainable AI (2021) Sabih M, Hannig F, Teich J Conference contribution, Conference Contribution