EvoLP: self-evolving latency predictor for model compression in real-time edge systems
Edge devices are increasingly utilized for deploying deep learning applications on embedded systems. The real-time nature of many applications and the limited resources of edge devices necessitate latency-targeted neural network compression. However, measuring latency on real devices is challenging...
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Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/171636 |
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Institution: | Nanyang Technological University |
Language: | English |
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