Publications

105 results for Manuel Le Gallo-Bourdeau

Designing Circuits for AiMC Based on Non-Volatile Memories: A Tutorial Brief on Trade-Off and Strategies for ADCs and DACs Co-Design
- - R. Vignali
  - R. Zurla
  - et al.
- 2024
- IEEE TCAS-II
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- - Geoffrey Burr
  - Sidney Tsai
  - et al.
- 2023
- IEDM 2023
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- - G.S. Syed
  - K. Brew
  - et al.
- 2023
- IEDM 2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
- - Julian Buchel
  - Athanasios Vasilopoulos
  - et al.
- 2023
- IEEE JESTCS
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- - Manuel Le Gallo
  - Corey Liam Lammie
  - et al.
- 2023
- APL Mach. Learn.
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memory
- - Manuel Le Gallo
- 2023
- E\PCOS 2023
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
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memory
- - Manuel Le Gallo
- 2023
- NVMTS 2023
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- - Manuel Le Gallo
  - Riduan Khaddam-Aljameh
  - et al.
- 2023
- Nature Electronics
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- - Hadjer Benmeziane
  - Corey Lammie
  - et al.
- 2023
- EDGE 2023