Amrouch et al., 2021 - Google Patents
Towards reliable in-memory computing: From emerging devices to post-von-neumann architecturesAmrouch et al., 2021
- Document ID
- 17552695202095990909
- Author
- Amrouch H
- Du N
- Gebregiorgis A
- Hamdioui S
- Polian I
- Publication year
- Publication venue
- 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC)
External Links
Snippet
Breakthroughs in Deep neural networks (DNNs) steadily bring new innovations that substantially improve our daily life. However, DNNs overwhelm our existing computer architectures because the latter is largely bottlenecked by the data movement between …
- 230000015654 memory 0 abstract description 51
Classifications
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- G11C13/0021—Auxiliary circuits
- G11C13/0023—Address circuits or decoders
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- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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