Problem-solving in High Performance Computing: A Situational Awareness Approach with Linux (Paperback)

Igor Ljubuncic

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商品描述

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems. Unlike other titles on general problem-solving or system administration, this book offers a cohesive approach to complex, layered environments, highlighting the difference between standalone system troubleshooting and complex problem-solving in large, mission critical environments, and addressing the pitfalls of information overload, micro, and macro symptoms, also including methods for managing problems in large computing ecosystems.

The authors offer perspective gained from years of developing Intel-based systems that lead the industry in the number of hosts, software tools, and licenses used in chip design. The book offers unique, real-life examples that emphasize the magnitude and operational complexity of high performance computer systems.

  • Provides insider perspectives on challenges in high performance environments with thousands of servers, millions of cores, distributed data centers, and petabytes of shared data
  • Covers analysis, troubleshooting, and system optimization, from initial diagnostics to deep dives into kernel crash dumps
  • Presents macro principles that appeal to a wide range of users and various real-life, complex problems
  • Includes examples from 24/7 mission-critical environments with specific HPC operational constraints

商品描述(中文翻譯)

《高性能計算中的問題解決:以Linux的情境感知方法為重點》專注於理解巨型計算網格作為一個統一的系統。與其他關於一般問題解決或系統管理的書籍不同,本書提供了一種對於複雜的、分層的環境的統一方法,強調獨立系統故障排除和大型、關鍵任務環境中複雜問題解決之間的差異,並解決信息過載、微觀和宏觀症狀的問題,還包括管理大型計算生態系統中問題的方法。

作者們提供了多年開發基於Intel的系統的經驗,這些系統在芯片設計中使用的主機數量、軟件工具和許可證數量方面領先於行業。本書提供了獨特的、真實的例子,強調高性能計算系統的規模和操作複雜性。

本書包含以下內容:
- 提供內部人士對於具有數千台伺服器、數百萬個核心、分佈式數據中心和PB級共享數據的高性能環境所面臨挑戰的觀點。
- 詳細介紹從初始診斷到深入分析核心崩潰轉儲的分析、故障排除和系統優化。
- 提出適用於各種用戶和各種真實複雜問題的宏觀原則。
- 包含來自24/7關鍵任務環境的例子,具有特定的高性能計算操作限制。