Name
Abstract | ||
|---|---|---|
Artificial Intelligence of Things (AIoT) processors fabricated with newer technology nodes suffer rising soft errors due to the shrinking transistor sizes and lower power supply. Soft errors on the AIoT processors particularly the deep learning accelerators (DLAs) with massive computing may cause substantial computing errors. These computing errors are difficult to be captured by the conventional ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TVLSI.2021.3089224 | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
Keywords | DocType | Volume |
Program processors,Artificial neural networks,Training,Servers,Fault tolerant systems,Computational modeling,Data communication | Journal | 29 |
Issue | ISSN | Citations |
11 | 1063-8210 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dawen Xu | 1 | 7 | 3.86 |
| Meng He | 2 | 0 | 0.34 |
| Cheng Liu | 3 | 88 | 15.87 |
| Ying Wang | 4 | 276 | 55.61 |
| Long Cheng | 5 | 91 | 16.99 |
| Huawei Li | 6 | 417 | 56.32 |
| Xiaowei Li | 7 | 0 | 0.34 |
| K.-T. Cheng | 8 | 111 | 13.59 |