S. R. Nandakumar

According to our database, S. R. Nandakumar authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

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

CoRR, 2023

2022

Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars.

Manuel Le Gallo, S. R. Nandakumar, Lazar Ciric, Irem Boybat, Riduan Khaddam-Aljameh, Charles Mackin, Abu Sebastian

Neuromorph. Comput. Eng., 2022

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

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

IEEE Micro, 2022

HERMES-Core - A 1.59-TOPS/mm² PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs.

Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Brändli, Feng Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou

IEEE J. Solid State Circuits, 2022

2021

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

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

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.

Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Braendli, Femg Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Accurate Weight Mapping in a Multi-Memristive Synaptic Unit.

Michele Martemucci, Benedikt Kersting, Riduan Khaddam-Aljameh, Irem Boybat, S. R. Nandakumar, Urs Egger, Matthew BrightSky, Robert L. Bruce, Manuel Le Gallo, Abu Sebastian

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation.

Robert L. Bruce, Syed Ghazi Sarwat, Irem Boybat, Cheng-Wei Cheng, Wanki Kim, S. R. Nandakumar, Charles Mackin, Timothy Philip, Zuoguang Liu, Kevin Brew, Nanbo Gong, Injo Ok, Praneet Adusumilli, Katie Spoon, Stefano Ambrogio, Benedikt Kersting, Thomas Bohnstingl, Manuel Le Gallo, Andrew Simon, Ning Li, Iqbal Saraf, Jin-Ping Han, Lynne M. Gignac, John M. Papalia, Tenko Yamashita, Nicole Saulnier, Geoffrey W. Burr, Hsinyu Tsai, Abu Sebastian, Vijay Narayanan, Matthew BrightSky

Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020

Mixed-precision deep learning based on computational memory.

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

CoRR, 2020

Bio-mimetic Synaptic Plasticity and Learning in a sub-500mV Cu/SiO₂/W Memristor.

S. R. Nandakumar, Bipin Rajendran

CoRR, 2020

2019

Deep learning acceleration based on in-memory computing.

Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian

IBM J. Res. Dev., 2019

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

S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran

CoRR, 2019

Computational memory-based inference and training of deep neural networks.

Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Phase-Change Memory Models for Deep Learning Training and Inference.

S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018

Impact of conductance drift on multi-PCM synaptic architectures.

Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the Non-Volatile Memory Technology Symposium, 2018

Mixed-precision architecture based on computational memory for training deep neural networks.

S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

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

S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2017

Neuromorphic computing with multi-memristive synapses.

Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2017

An efficient synaptic architecture for artificial neural networks.

Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017

2015

Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis.

Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015