SRAM voltage scaling for energy-efficient convolutional neural networks-Reference-Cited by-同舟云学术

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SRAM voltage scaling for energy-efficient convolutional neural networks

Published:2017-03 Issue: Volume: Page:
ISSN:
Container-title:2017 18th International Symposium on Quality Electronic Design (ISQED)
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Author:

Yang Lita,Murmann Boris

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7910185/7918273/07918284.pdf?arnumber=7918284

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 6T-8T Hybrid SRAM for Lower-Power Neural-Network Processing by Lowering Operating Voltage;IEICE Transactions on Information and Systems;2024-09-01

2. MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2024-04-27

3. HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

4. SRAM-based efficiency memory model for quantized convolutional neural networks;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

5. X-NVDLA: Runtime Accuracy Configurable NVDLA Based on Applying Voltage Overscaling to Computing and Memory Units;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-05

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