Precision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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22 results for S. R. Nandakumar
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
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
HERMES-Core-A 1.59-TOPS/mm2PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs
- Riduan Khaddam-Aljameh
- Milos Stanisavljevic
- et al.
- 2022
- IEEE JSSC
Accurate deep neural network inference using computational phase-change memory
- Vinay Joshi
- Manuel Le Gallo
- et al.
- 2020
- Nature Communications
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- Scientific Reports
Neuromorphic computing with multi-memristive synapses
- 2018
- Nature Communications
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
- et al.
- 2021
- VLSI Circuits 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
- R. Khaddam-Aljameh
- M. Stanisavljevic
- et al.
- 2021
- VLSI Technology 2021
Accurate weight mapping in a multi-memristive synaptic unit
- Michele Martemucci
- Benedikt Kersting
- et al.
- 2021
- ISCAS 2021