Abstract | ||
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Due to the nonvolatility nature of resistive RAM (ReRAM), dynamic operations in the arrays contribute to a much larger portion of power in ReRAM-based neural networks than static power. To reduce the dynamic power of in-situ operations with neural parameters, precision-tuning is considered a viable approach of approximate computing to tradeoff excessive computation exactness for power and e... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TCAD.2021.3089667 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Computer architecture,Neural networks,Computational modeling,Approximate computing,Tuning,Switches,Microprocessors | Journal | 41 |
Issue | ISSN | Citations |
5 | 0278-0070 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Wang | 1 | 276 | 55.61 |
Yintao He | 2 | 1 | 1.73 |
Long Cheng | 3 | 91 | 16.99 |
Huawei Li | 4 | 417 | 56.32 |
Xinrong Li | 5 | 1266 | 157.76 |