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Manuel Le Gallo
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2020 – today
- 2024
- [j12]Riccardo Vignali
, Riccardo Zurla, Marco Pasotti
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 71(3): 1650-1655 (2024) - [c23]Elena Ferro
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS 2024: 1-5 - [c22]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. ISCAS 2024: 1-5 - [i31]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR abs/2401.09859 (2024) - [i30]Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR abs/2402.07549 (2024) - [i29]Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz
Training of Physical Neural Networks. CoRR abs/2406.03372 (2024) - [i28]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - 2023
- [j11]Julian Büchel
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1052-1061 (2023) - [c21]Hadjer Benmeziane
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE 2023: 233-244 - [i27]Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR abs/2302.08469 (2023) - [i26]Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR abs/2305.10459 (2023) - [i25]Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Frédéric Odermatt, Kevin Brew, Injo Ok, Samuel Choi, Iqbal Saraf, Victor Chan, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Gradient descent-based programming of analog in-memory computing cores. CoRR abs/2305.16647 (2023) - [i24]Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR abs/2307.09357 (2023) - 2022
- [j10]Mahdi Zahedi
MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory. ACM J. Emerg. Technol. Comput. Syst. 18(3): 44:1-44:24 (2022) - [j9]Riduan Khaddam-Aljameh
HERMES-Core - A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. IEEE J. Solid State Circuits 57(4): 1027-1038 (2022) - [j8]Chuteng Zhou
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 42(6): 76-87 (2022) - [j7]Manuel Le Gallo
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. Neuromorph. Comput. Eng. 2(1): 14009 (2022) - [j6]Dennis V. Christensen
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [c20]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 2022: 105-108 - [i23]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. CoRR abs/2207.06810 (2022) - [i22]Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR abs/2212.02872 (2022) - 2021
- [j5]Johannes Feldmann, Nathan Youngblood
Parallel convolutional processing using an integrated photonic tensor core. Nat. 589(7840): 52-58 (2021) - [j4]Geethan Karunaratne
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1725-1729 (2021) - [j3]Riduan Khaddam-Aljameh
A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing. IEEE Trans. Circuits Syst. II Express Briefs 68(12): 3522-3526 (2021) - [c19]Geethan Karunaratne, Abbas Rahimi
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. AICAS 2021: 1 - [c18]Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. AICAS 2021: 1-4 - [c17]Robert L. Bruce, Syed Ghazi Sarwat
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS 2021: 1-6 - [c16]Michele Martemucci
Accurate Weight Mapping in a Multi-Memristive Synaptic Unit. ISCAS 2021: 1-5 - [c15]Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas
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. VLSI Circuits 2021: 1-2 - [i21]Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan:
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays. CoRR abs/2104.02184 (2021) - [i20]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i19]Benedikt Kersting, Syed Ghazi Sarwat, Manuel Le Gallo, Kevin Brew, Sebastian Walfort, Nicole Saulnier, Martin Salinga, Abu Sebastian:
Measurement of onset of structural relaxation in melt-quenched phase change materials. CoRR abs/2106.06270 (2021) - [i18]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing. CoRR abs/2106.11654 (2021) - [i17]Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR abs/2111.06503 (2021) - [i16]Abbas Rahimi, Manuel Le Gallo, Abu Sebastian:
Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing. ERCIM News 2021(125) (2021) - 2020
- [j2]Iason Giannopoulos
In-Memory Database Query. Adv. Intell. Syst. 2(12): 2000141 (2020) - [c14]Iason Giannopoulos, Manuel Le Gallo, Vara Prasad Jonnalagadda, Evangelos Eleftheriou, Abu Sebastian
Temperature Compensation Schemes for In-Memory Computing using Phase-Change Memory. AICAS 2020: 286-290 - [c13]Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS 2020: 1-5 - [c12]Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos:
Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. ISCAS 2020: 1-5 - [i15]S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Mixed-precision deep learning based on computational memory. CoRR abs/2001.11773 (2020) - [i14]Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran:
Parallel convolution processing using an integrated photonic tensor core. CoRR abs/2002.00281 (2020) - [i13]Vinay Joshi
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR abs/2003.11256 (2020) - [i12]Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos:
Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. CoRR abs/2004.03073 (2020) - [i11]Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Robust High-dimensional Memory-augmented Neural Networks. CoRR abs/2010.01939 (2020)
2010 – 2019
- 2019
- [j1]Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63(6): 7:1-7:16 (2019) - [c11]Said Hamdioui, Hoang Anh Du Nguyen, Mottaqiallah Taouil, Abu Sebastian
Applications of Computation-In-Memory Architectures based on Memristive Devices. DATE 2019: 486-491 - [c10]Manuel Le Gallo, Abu Sebastian
Phase-change memory enables energy-efficient brain-inspired computing. DRC 2019: 197-198 - [c9]S. R. Nandakumar, Irem Boybat, Vinay Joshi
Phase-Change Memory Models for Deep Learning Training and Inference. ICECS 2019: 727-730 - [c8]Irem Boybat, Cecilia Giovinazzo, Elmira Shahrabi, Igor Krawczuk, Iason Giannopoulos, Christophe Piveteau
Multi-ReRAM Synapses for Artificial Neural Network Training. ISCAS 2019: 1-5 - [c7]Abu Sebastian
Computational memory-based inference and training of deep neural networks. VLSI Circuits 2019: 168- - [i10]S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran:
Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. CoRR abs/1905.11929 (2019) - [i9]Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. CoRR abs/1906.01548 (2019) - [i8]Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Accurate deep neural network inference using computational phase-change memory. CoRR abs/1906.03138 (2019) - 2018
- [c6]S. R. Nandakumar, Manuel Le Gallo
Mixed-precision architecture based on computational memory for training deep neural networks. ISCAS 2018: 1-5 - [c5]Irem Boybat, S. R. Nandakumar, Manuel Le Gallo
Impact of conductance drift on multi-PCM synaptic architectures. NVMTS 2018: 1-4 - [i7]Carlos Ríos, Nathan Youngblood, Zengguang Cheng, Manuel Le Gallo, Wolfram H. P. Pernice, C. David Wright, Abu Sebastian, Harish Bhaskaran:
In-memory computing on a photonic platform. CoRR abs/1801.06228 (2018) - [i6]Manuel Le Gallo, Abu Sebastian, Evangelos Eleftheriou:
In-Memory Computing: Towards Energy-Efficient Artificial Intelligence. ERCIM News 2018(115) (2018) - 2017
- [c4]Timoleon Moraitis
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. IJCNN 2017: 1823-1830 - [c3]Irem Boybat
An efficient synaptic architecture for artificial neural networks. NVMTS 2017: 1-4 - [i5]Manuel Le Gallo, Abu Sebastian, Roland Mathis, Matteo Manica, Tomas Tuma, Costas Bekas, Alessandro Curioni, Evangelos Eleftheriou:
Mixed-Precision Memcomputing. CoRR abs/1701.04279 (2017) - [i4]Abu Sebastian, Tomas Tuma, Nikolaos Papandreou, Manuel Le Gallo, Lukas Kull, Thomas P. Parnell, Evangelos Eleftheriou:
Temporal correlation detection using computational phase-change memory. CoRR abs/1706.00511 (2017) - [i3]Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou:
Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes. CoRR abs/1706.05563 (2017) - [i2]Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou:
Neuromorphic computing with multi-memristive synapses. CoRR abs/1711.06507 (2017) - [i1]S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Mixed-precision training of deep neural networks using computational memory. CoRR abs/1712.01192 (2017) - 2016
- [c2]Manuel Le Gallo
Inherent stochasticity in phase-change memory devices. ESSDERC 2016: 373-376 - 2015
- [c1]Abu Sebastian
A collective relaxation model for resistance drift in phase change memory cells. IRPS 2015: 5
Coauthor Index
[j12] [c23] [c22] [i31] [i30] [i29] [i28] [j11] [c21] [i27] [i26] [i25] [i24] [j10] [j9] [j8] [j7] [j6] [c20] [i23] [i22] [j5] [j4] [j3] [c19] [c18] [c17] [c16] [c15] [i21] [i20] [i19] [i18] [i17] [i16] [j2] [c14] [c13] [c12] [i15] [i14] [i13] [i12] [i11] [j1] [c11] [c10] [c9] [c8] [c7] [i10] [i9] [i8] [c6] [c5] [i7] [i6] [c4] [c3] [i5] [i4] [i3] [i2] [i1] [c2] [c1]
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last updated on 2024-11-18 20:45 CET by the dblp team
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