A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks
- Angelo Garofalo
- Gianmarco Ottavi
- et al.
- 2022
- IEEE JESTCS
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48 results for Irem Boybat
Precision 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.
ML-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
Mixed-Precision Deep Learning Based on Computational Memory
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2020
- Frontiers in Neuroscience
Deep learning acceleration based on in-memory computing
- Evangelos Eleftheriou
- Geethan Karunaratne
- et al.
- 2019
- IBM J. Res. Dev
A phase-change memory model for neuromorphic computing
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2018
- Journal of Applied Physics
Neuromorphic computing using non-volatile memory
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2016
- Advances in Physics: X
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2015
- IEEE T-ED