On the Resilience of Deep Learning for Reduced-voltage FPGAs
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9089129/9092130/09092423.pdf?arnumber=9092423
Cited by 13 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. Let's go below;Proceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems;2023-11-12
2. FPQNet: Fully Pipelined and Quantized CNN for Ultra-Low Latency Image Classification on FPGAs Using OpenCAPI;Electronics;2023-09-29
3. STRIVE: Enabling Choke Point Detection and Timing Error Resilience in a Low-Power Tensor Processing Unit;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
4. Testability and Dependability of AI Hardware: Survey, Trends, Challenges, and Perspectives;IEEE Design & Test;2023-04
5. Towards Low-Overhead Resilience for Data Parallel Deep Learning;2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid);2022-05
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