Efficient Scheduling of Irregular Network Structures on CNN Accelerators
Efficient Scheduling of Irregular Network Structures on CNN Accelerators 個人觀點： 本文主要思想如何劃分fused layer以及劃分後的子圖在固定的緩衝容量下如何提高每一層的可用內存空間.本文主要受到 An Effective Fusion and Tile Size Model for Optimizing Image
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相關文章
- 1. 《An Efficient Implementation of Trie Structures 》論文解讀
- 2. Design and Implementation of Scheduling Pool Scheduling Algorithm Based on Reuse of Jobs in Spark理解
- 3. 【論文總結】Efficient coflow scheduling with Varys
- 4. DL經典文章翻譯2：Learning Efficient Convolutional Networks through Network Slimming
- 5. Optimizing Downloads for Efficient Network Access
- 6. 2018-17Dynamic Network Surgery for Efficient DNNs
- 7. 【論文總結】Efficient Coflow Scheduling Without Prior Knowledge
- 8. CNN--DenseNet--Memory-Efficient DenseNet
- 9. CNN Network
- 10. CNN: Deep Network Example