Name
Title | ||
|---|---|---|
Reconfigurable Neural Synaptic Plasticity-Based Stochastic Deep Neural Network Computing |
Abstract | ||
|---|---|---|
With the increasing popularity of deep neural networks (DNNs), a large amount of research effort has been devoted to the hardware acceleration of DNNs to achieve efficient processing. Nevertheless, few works have explored the similarities between the biological essence of DNNs and arithmetic circuits. Moreover, stochastic computing (SC), which implements complex arithmetic operations with simple l... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SiPS52927.2021.00048 | 2021 IEEE Workshop on Signal Processing Systems (SiPS) |
Keywords | DocType | ISSN |
Neural synaptic plasticity,convolutional neural networks,stochastic computing | Conference | 1520-6130 |
ISBN | Citations | PageRank |
978-1-6654-0144-9 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zihan Xia | 1 | 1 | 0.72 |
| Ya Dong | 2 | 0 | 0.34 |
| Jienan Chen | 3 | 17 | 8.93 |
| Rui Wan | 4 | 0 | 0.34 |
| Shuai Li | 5 | 19 | 12.66 |
| Tingyong Wu | 6 | 0 | 0.68 |