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
Paper
Publications
22 results for S. R. Nandakumar
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
PaperHERMES-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
PaperPrecision of bit slicing with in-memory computing based on analog phase-change memory crossbars
- Manuel Le Gallo
- S.R. Nandakumar
- et al.
- 2022
- Neuromorph. Comput. Eng.
PaperML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator
- Chuteng Zhou
- Fernando Garcia Redondo
- et al.
- 2021
- IEEE Micro
PaperHERMES 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
Conference paperHERMES 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
Conference paperAccurate weight mapping in a multi-memristive synaptic unit
- Michele Martemucci
- Benedikt Kersting
- et al.
- 2021
- ISCAS 2021
Conference paperMushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
- Robert L. Bruce
- Syed Ghazi Sarwat
- et al.
- 2021
- IRPS 2021
Conference paperPrecision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Conference paper