Distributed In-Memory Computing on Binary Memristor-Crossbar for Machine Learning
The recent emerging memristor can provide non-volatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for low-power and high-throughput data analytics accelerator performed in memory. However, the existing memristor-crossbar based computing is mainly ass...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
Springer
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/86062 http://hdl.handle.net/10220/43929 |