Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristors
Crossbar arrays of memristors are promising to accelerate the deep learning algorithm as a non-von-Neumann architecture, where the computation happens at the location of the memory. The computations are parallelly conducted employing the basic physical laws. However, current research works mainly fo...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IOP Publishing
2024-01-01
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| Serier: | Neuromorphic Computing and Engineering |
| Fag: | |
| Online adgang: | https://doi.org/10.1088/2634-4386/ad6732 |
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