Data-Oriented Programming with Rust: Efficient, Safe, and Scalable Solutions (eBook, ePUB)
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Unlock the full potential of modern hardware with Rust. Master the principles of Data-Oriented Programming to build exceptionally fast, safe, and scalable systems.The era of easy performance gains from faster processors is over. Today, the greatest bottleneck in computing is not CPU speed, but the chasm between the CPU and main memory. To build truly high-performance software, developers must move beyond traditional abstractions and learn to write code that works in harmony with the hardware. This is the world of Data-Oriented Programming (DOP), and Rust is its ideal language.Data-Oriented Pro...
Unlock the full potential of modern hardware with Rust. Master the principles of Data-Oriented Programming to build exceptionally fast, safe, and scalable systems.
The era of easy performance gains from faster processors is over. Today, the greatest bottleneck in computing is not CPU speed, but the chasm between the CPU and main memory. To build truly high-performance software, developers must move beyond traditional abstractions and learn to write code that works in harmony with the hardware. This is the world of Data-Oriented Programming (DOP), and Rust is its ideal language.
Data-Oriented Programming with Rust is the definitive guide for intermediate to advanced developers looking to master this crucial paradigm. This book bridges the gap between systems programming theory and real-world practice, showing you how to leverage Rust's unique combination of C++-level performance and guaranteed memory safety to create solutions that are not just correct, but incredibly fast.
Move from theory to practice with concrete, benchmarked examples that demonstrate the staggering performance differences between conventional and data-oriented approaches. Whether you are a game developer, a systems programmer, or an application engineer struggling with performance bottlenecks, this book will fundamentally change the way you think about software architecture.
Inside, you will learn to:
If you are ready to stop fighting the hardware and start building with it, this book is your guide to writing the next generation of efficient, safe, and scalable software in Rust.
The era of easy performance gains from faster processors is over. Today, the greatest bottleneck in computing is not CPU speed, but the chasm between the CPU and main memory. To build truly high-performance software, developers must move beyond traditional abstractions and learn to write code that works in harmony with the hardware. This is the world of Data-Oriented Programming (DOP), and Rust is its ideal language.
Data-Oriented Programming with Rust is the definitive guide for intermediate to advanced developers looking to master this crucial paradigm. This book bridges the gap between systems programming theory and real-world practice, showing you how to leverage Rust's unique combination of C++-level performance and guaranteed memory safety to create solutions that are not just correct, but incredibly fast.
Move from theory to practice with concrete, benchmarked examples that demonstrate the staggering performance differences between conventional and data-oriented approaches. Whether you are a game developer, a systems programmer, or an application engineer struggling with performance bottlenecks, this book will fundamentally change the way you think about software architecture.
Inside, you will learn to:
- Master the Four Principles of DOP: Separate code from data, use generic data structures, embrace immutability, and manage schemas effectively.
- Implement High-Performance Patterns: Dive deep into Structure of Arrays (SoA) vs. Array of Structures (AoS), Entity-Component-System (ECS), and Hot/Cold Data Splitting.
- Write Fearlessly Concurrent Code: Leverage Rust's ownership model and advanced patterns like data parallelism with Rayon to build scalable, multi-threaded applications.
- Optimize Memory Management: Move beyond the global allocator with custom arenas and object pools, and master zero-copy parsing techniques to eliminate overhead.
- Build Real-World Systems: Follow step-by-step implementations of a parallel data processing engine, a 2D game engine, and a high-throughput network protocol.
If you are ready to stop fighting the hardware and start building with it, this book is your guide to writing the next generation of efficient, safe, and scalable software in Rust.
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