閱讀 netmap: a novel framework for fast packet I/O 文章總結
Abstract and Introduction netmap：一個新型的框架，使得現在的操作系統可以在不需要特定硬件或針對應用進行改變的前提下，每秒鐘通過1..10 Gbit/s的link處理百萬級的packet。 減少或移除了三處packet處理過程中的cost： 每個packet的動態內存分配——通過預分配資源進行處理 系統調用的開銷——攤銷到large batches上 內存的備份——在
相關文章
- 1. ECCV2020-Peeking into occluded joints: A novel framework for crowd pose estimation論文閱讀
- 2. 論文閱讀 《BiCov: a novel image representation for person re-identification and face verification》
- 3. [論文閱讀]CBNet|A Novel Composite Backbone Network Architecture for Object Detection
- 4. 【文獻閱讀】Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
- 5. [論文閱讀] A novel binary shape context for 3D local surface description
- 6. 論文閱讀-Fast Algorithms for Convolutional Neural Networks
- 7. 閱讀小結：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 8. 論文閱讀：FFDNet：Toward a Fast and Flexible Solution for CNN based Image Denoising
- 9. 《A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification》論文筆記
- 10. 論文閱讀：Fast R-CNN
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • Rust 文件與 IO - RUST 教程
- • 算法總結-回溯法
- • 算法總結-雙指針
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 「插件」Runner更新Pro版，幫助設計師遠離996
- 2. 錯誤 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
- 3. Jenkins 2018 報告速覽，Kubernetes使用率躍升235%！
- 4. TVI-Android技術篇之註解Annotation
- 5. android studio啓動項目
- 6. Android的ADIL
- 7. Android卡頓的檢測及優化方法彙總（線下+線上）
- 8. 登錄註冊的業務邏輯流程梳理
- 9. NDK(1)創建自己的C/C++文件
- 10. 小菜的系統框架界面設計-你的評估是我的決策
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ECCV2020-Peeking into occluded joints: A novel framework for crowd pose estimation論文閱讀
- 2. 論文閱讀 《BiCov: a novel image representation for person re-identification and face verification》
- 3. [論文閱讀]CBNet|A Novel Composite Backbone Network Architecture for Object Detection
- 4. 【文獻閱讀】Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
- 5. [論文閱讀] A novel binary shape context for 3D local surface description
- 6. 論文閱讀-Fast Algorithms for Convolutional Neural Networks
- 7. 閱讀小結：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
- 8. 論文閱讀：FFDNet：Toward a Fast and Flexible Solution for CNN based Image Denoising
- 9. 《A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification》論文筆記
- 10. 論文閱讀：Fast R-CNN