Title | ||
---|---|---|
TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs |
Abstract | ||
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Energy-efficient processors are crucial for accelerating deep neural networks (DNNs) on edge devices with limited battery capacity. To reduce energy consumption, time-domain computing-in-memory (TD-CIM) is a splendid architecture, which consumes low computation and memory access energy due to low toggle rate of time-based signals and less data movements, respectively. When deploying DNNs in TD-CIM... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/JSSC.2021.3095232 | IEEE Journal of Solid-State Circuits |
Keywords | DocType | Volume |
Indexes,Kernel,Convolution,Quantization (signal),Time-domain analysis,Memory management,Delays | Journal | 56 |
Issue | ISSN | Citations |
10 | 0018-9200 | 0 |
PageRank | References | Authors |
0.34 | 0 | 15 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianxun Yang | 1 | 12 | 2.80 |
Yuyao Kong | 2 | 1 | 1.37 |
Qing Zhang | 3 | 114 | 32.59 |
Zhuangzhi Liu | 4 | 0 | 0.34 |
Jing Zhou | 5 | 1 | 1.37 |
Yiqi Wang | 6 | 0 | 0.34 |
Yonggang Liu | 7 | 5 | 2.83 |
Chenfu Guo | 8 | 0 | 0.34 |
te hu | 9 | 2 | 2.07 |
Congcong Li | 10 | 0 | 0.34 |
leibo liu | 11 | 816 | 116.95 |
Jin Zhang | 12 | 0 | 0.34 |
Shaojun Wei | 13 | 555 | 102.32 |
Jun Yang | 14 | 147 | 36.54 |
shouyi yin | 15 | 579 | 99.95 |