Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
- 2023
- IEEE JESTCS
Publications
102 results for Manuel Le Gallo-Bourdeau
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memory
- 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
- 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
In-memory computing for accelerating deep neural networks and neuro-vector-symbolic architectures
- 2023
- AICAS 2023
Deep learning inference using computational phase-change memory
- 2023
- HPCA 2023
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing
- 2023
- IEEE T-ED