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

From the Back Cover:

Problem-solving in High Performance Computing is focused 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 problem solving in complex, layered environments. It highlights the difference between standalone system troubleshooting and complex problem solving in large, mission critical environments, and addresses the pitfalls of information overload, micro and macro symptoms in problem solving, and offers highly modular, extensible, scalable tools and 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. They cover the entire stack, from identifying the problem, understanding and reproducing it; to solving it, using a methodical, top-down approach, while handling the constraints of a global computing grid. Throughout, the book offers unique, real-life examples that emphasize the magnitude and operational complexity of high performance computer systems.

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