Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte Rasch
- et al.
- 2022
- MRS Fall Meeting 2022
Publications
Date
Featured collections
Popular topics
100 results for Manuel Le Gallo-Bourdeau
Beyond von–Neumann Computing—Engineering Artificial Synapses for In–Memory Computing
- Valeria Bragaglia
- Benedikt Kersting
- et al.
- 2020
- MRS Spring/Fall Meeting 2020
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- 2024
- NeurIPS 2024
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- 2024
- NeurIPS 2024
Hardware implementation of memristor-based artificial neural networks
- Fernando Aguirre
- Abu Sebastian
- et al.
- 2024
- Nature Communications
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte J. Rasch
- Charles Mackin
- et al.
- 2023
- Nature Communications
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
Experimental validation of state equations and dynamic route maps for phase change memristive devices
- Francesco Marrone
- Jacopo Secco
- et al.
- 2022
- Scientific Reports
HERMES-Core-A 1.59-TOPS/mm2PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs
- Riduan Khaddam-Aljameh
- Milos Stanisavljevic
- et al.
- 2022
- IEEE JSSC
Robust high-dimensional memory-augmented neural networks
- Geethan Karunaratne
- Manuel Schmuck
- et al.
- 2021
- Nature Communications