Manuel Le Gallo

Orcid: 0000-0003-1600-6151

According to our database1, Manuel Le Gallo authored at least 57 papers between 2015 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Designing Circuits for AiMC Based on Non-Volatile Memories: A Tutorial Brief on Trade-Off and Strategies for ADCs and DACs Co-Design.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Roadmap to Neuromorphic Computing with Emerging Technologies.
CoRR, 2024

Training of Physical Neural Networks.
CoRR, 2024

Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.
CoRR, 2023

Gradient descent-based programming of analog in-memory computing cores.
CoRR, 2023

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators.
CoRR, 2023

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars.
Neuromorph. Comput. Eng., 2022

2022 roadmap on neuromorphic computing and engineering.
Neuromorph. Comput. Eng., 2022

ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator.
IEEE Micro, 2022

HERMES-Core - A 1.59-TOPS/mm<sup>2</sup> PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs.
IEEE J. Solid State Circuits, 2022

MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory.
ACM J. Emerg. Technol. Comput. Syst., 2022

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.
CoRR, 2022

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

2021
A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Parallel convolutional processing using an integrated photonic tensor core.
Nat., 2021

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing.
ERCIM News, 2021

AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator.
CoRR, 2021

Measurement of onset of structural relaxation in melt-quenched phase change materials.
CoRR, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.
CoRR, 2021

HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Accurate Weight Mapping in a Multi-Memristive Synaptic Unit.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021


A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Robust High-dimensional Memory-augmented Neural Networks.
CoRR, 2020

Parallel convolution processing using an integrated photonic tensor core.
CoRR, 2020

Mixed-precision deep learning based on computational memory.
CoRR, 2020

In-Memory Database Query.
Adv. Intell. Syst., 2020

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Temperature Compensation Schemes for In-Memory Computing using Phase-Change Memory.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Deep learning acceleration based on in-memory computing.
IBM J. Res. Dev., 2019

Accurate deep neural network inference using computational phase-change memory.
CoRR, 2019

In-memory hyperdimensional computing.
CoRR, 2019

Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.
CoRR, 2019

Computational memory-based inference and training of deep neural networks.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Multi-ReRAM Synapses for Artificial Neural Network Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Phase-Change Memory Models for Deep Learning Training and Inference.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Phase-change memory enables energy-efficient brain-inspired computing.
Proceedings of the Device Research Conference, 2019

Applications of Computation-In-Memory Architectures based on Memristive Devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
In-Memory Computing: Towards Energy-Efficient Artificial Intelligence.
ERCIM News, 2018

In-memory computing on a photonic platform.
CoRR, 2018

Impact of conductance drift on multi-PCM synaptic architectures.
Proceedings of the Non-Volatile Memory Technology Symposium, 2018

Mixed-precision architecture based on computational memory for training deep neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
Mixed-precision training of deep neural networks using computational memory.
CoRR, 2017

Neuromorphic computing with multi-memristive synapses.
CoRR, 2017

Temporal correlation detection using computational phase-change memory.
CoRR, 2017

Mixed-Precision Memcomputing.
CoRR, 2017

An efficient synaptic architecture for artificial neural networks.
Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017

Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Inherent stochasticity in phase-change memory devices.
Proceedings of the 46th European Solid-State Device Research Conference, 2016

2015
A collective relaxation model for resistance drift in phase change memory cells.
Proceedings of the IEEE International Reliability Physics Symposium, 2015


  Loading...