Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches
- Bipin Rajendran
- Abu Sebastian
- et al.
- 2019
- IEEE SPM
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196 results for Evangelos Eleftheriou
Phase-change memory models for deep learning training and inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2019
- ICECS 2019
Computational phase-change memory: Beyond von Neumann computing
- 2019
- Journal of Physics D: Applied Physics
Phase-change memory enables energy-efficient brain-inspired computing
- 2019
- DRC 2019
Computational memory-based inference and training of deep neural networks
- Abu Sebastian
- Irem Boybat
- et al.
- 2019
- VLSI Circuits 2019
Multi-ReRAM synapses for artificial neural network training
- Irem Boybat
- Cecilia Giovinazzo
- et al.
- 2019
- ISCAS 2019
Building next-generation AI systems: Co-optimization of algorithms, architectures, and nanoscale memristive devices
- Bipin Rajendran
- Abu Sebastian
- et al.
- 2019
- IMW 2019
8-bit Precision In-Memory Multiplication with Projected Phase-Change Memory
- Iason Giannopoulos
- Abu Sebastian
- et al.
- 2018
- IEDM 2018
Impact of conductance drift on multi-PCM synaptic architectures
- Irem Boybat
- S. R. Nandakumar
- et al.
- 2018
- NVMTS 2018
A phase-change memory model for neuromorphic computing
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2018
- Journal of Applied Physics