Ray: A Distributed Framework for Emerging AI Applications
Ray是UC Berkeley RISELab新推出的高性能分佈式執行框架，目前還處於實驗室階段，具有比Spark更優秀的性能，有望在將來取代Spark。本篇博客是對該論文的簡單翻譯，如有翻譯不妥的地方，歡迎指正。 原論文 pdf Ray開發手冊 Ray-Guide 項目下載 Ray 0 簡介 下一代AI應用程序將不斷與環境交互，並從這些交互中學習。這些應用程序在性能和靈活性方面提出了新的和苛刻的
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相關文章
- 1. A PMML Based Framework for Developing R-Java Analytic Applications
- 2. Bigtable: A Distributed Storage System for Structured Data : part8 Real Applications
- 3. Deep RNN Framework for Visual Sequential Applications
- 4. Bigtable: A Distributed Storage System for Structured Data : part3 API
- 5. A revolutionary architecture for building a distributed graph
- 6. A framework for monitoring microservice-oriented cloud applications in heterogeneous virtualization
- 7. iDice: Problem Identification for Emerging Issues
- 8. Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learn
- 9. CIEL : a universal execution engine for distributed data-flow computing
- 10. Note: Bigtable, A Distributed Storage System for Structured Data