C++ Allocators for the Working Programmer

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Maximize Performance with C++ Allocators for the Working Programmer C++ Allocators for the Working Programmer provides a comprehensive guide to mastering memory management in C++ using local allocators. The book covers the C++17 polymorphic memory resources (PMR) and demonstrates how to apply them to improve software performance. It includes practical examples and detailed explanations to help you integrate custom memory allocation strategies into your code. Designed for both experienced and novice C++ developers, this book offers insights into leveraging allocator-aware types, transforming C++ classes to be allocator-aware, and designing effective local allocators. By understanding these techniques, developers can optimize memory usage and enhance the efficiency of their C++ applications. The book focuses primarily on using C++17-compliant standard libraries, with some mentions of minor changes available in C++20, and sidebars indicating what is available in Bloomberg's open source offerings. Guides users from Excel to powerful tools like Python, R, and Tableau. Demonstrates real-world data analysis across multiple platforms. Enhances understanding of data analysis principles through comparative problem-solving.

Résumé

Maximize Performance with C++ Allocators for the Working Programmer

C++ Allocators for the Working Programmer provides a comprehensive guide to mastering memory management in C++ using local allocators. The book covers the C++17 polymorphic memory resources (PMR) and demonstrates how to apply them to improve software performance. It includes practical examples and detailed explanations to help you integrate custom memory allocation strategies into your code.

Designed for both experienced and novice C++ developers, this book offers insights into leveraging allocator-aware types, transforming C++ classes to be allocator-aware, and designing effective local allocators. By understanding these techniques, developers can optimize memory usage and enhance the efficiency of their C++ applications.

The book focuses primarily on using C++17-compliant standard libraries, with some mentions of minor changes available in C++20, and sidebars indicating what is available in Bloomberg's open source offerings.

• Guides users from Excel to powerful tools like Python, R, and Tableau.
• Demonstrates real-world data analysis across multiple platforms.
• Enhances understanding of data analysis principles through comparative problem-solving.