A Dynamically Reconfigurable Column Streaming-based Convolution Engine for Edge AI Accelerators
Author:
Affiliation:
1. Institute for Integrated Micro and Nano Systems School of Engineering, The University of Edinburgh,Edinburgh,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9970762/9970770/09970898.pdf?arnumber=9970898
Reference13 articles.
1. Stream-Dataflow Acceleration
2. A Column Streaming-Based Convolution Engine and Mapping Algorithm for CNN-based Edge AI Accelerators
3. Measuring the Gap Between FPGAs and ASICs
4. Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator
Cited by 2 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. DycSe: A Low-Power, Dynamic Reconfiguration Column Streaming-Based Convolution Engine for Resource-Aware Edge AI Accelerators;Journal of Low Power Electronics and Applications;2023-03-16
2. A novel TMOSFET ternary inverter based on hybrid conduction mechanism;Acta Physica Sinica;2023
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