S. R. Nandakumar - Concepedia

Concepedia

Author

S. R. Nandakumar

IBM Research - Zurich

Also Known As

Nandakumar, S. R., Nandakumar, Sasidharan Rajalekshmi, R., Nandakumar S., S R Nandakumar, S. R. Nandakumar, S.R. Nandakumar

37

Publications

2.5K

Citations

19

H-Index

55

Concepts

All Affiliations

IBM Research - Zurich New Jersey Institute of Technology École Polytechnique Fédérale de Lausanne University of Patras IBM Research - Almaden

SR

About

S. R. Nandakumar is an author at IBM Research - Zurich specializing in engineering, computer engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	18	1.7K
2	Computer Engineering	14	16	1.6K
3	Computer Science	11	12	1.2K
4	Social Sciences	6	6	1.1K
5	Applied Physics	4	4	315

S. R. Nandakumar

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23

Publications

2.5K

Citations

19

H-Index

	Year	Citations
Neuromorphic computing with multi-memristive synapses Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Nature Communications EngineeringMemristive DevicesNeural NetworkMulti-memristive SynapsesComputer Architecture	2018	838
Accurate deep neural network inference using computational phase-change memory Vinay Joshi, Manuel Le Gallo, Simon Haefeli, Repository for Publications and Research Data (ETH Zurich)	2020	395
A phase-change memory model for neuromorphic computing S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Journal of Applied Physics EngineeringConductance DriftEmerging Memory TechnologyComputer ArchitectureDevice Conductance	2018	162
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, Nature Communications	2023	128
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 Riduan Khaddam-Aljameh, Miloš Stanisavljević, Jordi Fornt, IEEE Journal of Solid-State Circuits Electrical EngineeringEngineeringVlsi DesignAffine ScalingImc Cores	2022	120
A 250 mV Cu/SiO<sub>2</sub>/W Memristor with Half-Integer Quantum Conductance States S. R. Nandakumar, Marie Minvielle, Saurabh Nagar, Nano Letters EngineeringMemristive DevicesSemiconductor MaterialsSpontaneous Filament DecayPhase Change Memory	2016	119
Mixed-Precision Deep Learning Based on Computational Memory S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Frontiers in Neuroscience	2020	113
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, Miloš Stanisavljević, Jordi Fornt, EngineeringVlsi DesignEnergy EfficiencyComputer ArchitectureHermes Core	2021	110
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Scientific Reports	2020	77
Mixed-precision architecture based on computational memory for training deep neural networks S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Artificial IntelligenceEngineeringMachine LearningComputer ArchitectureLayer Neural Network	2018	64

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