Entity Component System Design Patterns
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Game Programming Patterns
The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.
Data-Oriented Design
The projects tackled by the software development industry have grown in scale and complexity. Costs are increasing along with the number of developers. Power bills for distributed projects have reached the point where optimisations pay literal dividends. Over the last 10 years, a software development movement has gained traction, a movement founded in games development. The limited resources and complexity of the software and hardware needed to ship modern game titles demanded a different approach. Data-oriented design is inspired by high-performance computing techniques, database design, and functional programming values. It provides a practical methodology that reduces complexity while improving performance of both your development team and your product. Understand the goal, understand the data, understand the hardware, develop the solution. This book presents foundations and principles helping to build a deeper understanding of data-oriented design. It provides instruction on the thought processes involved when considering data as the primary detail of any project.
Entity-Component System Design Patterns
"Entity-Component System Design Patterns" Entity-Component System Design Patterns presents a comprehensive and rigorous exploration of the ECS architectural paradigm, serving as an authoritative resource for both practitioners and researchers in software and game engineering. The book begins by establishing a strong theoretical foundation, tracing the evolution of ECS from its origins and contrasting its principles with those of object-oriented and functional programming. Readers are guided through essential ECS concepts—including entities, components, and systems—while formalizing design goals such as decoupling, data locality, and composition over inheritance. The taxonomy of ECS patterns is surveyed in detail, highlighting key storage models and the data-oriented nature that makes ECS uniquely suited to modern computing hardware. Delving into real-world implementation strategies, the book covers granular topics such as component modeling, storage optimizations, and lifecycle management on a massive scale. Best practices for serialization, schema evolution, and runtime type safety are addressed, alongside advanced querying, filtering, and entity identification techniques. Special attention is given to system design, including robust scheduling, parallel execution, dependency management, and live patching. Architectural optimization is treated rigorously—with chapters devoted to lock-free structures, SIMD and batched processing, and platform-specific tuning for environments ranging from GPUs to distributed cloud systems. Enriched with in-depth case studies, the book illuminates how ECS underpins cutting-edge applications across game engines, robotics, AI, and enterprise platforms. Readers will find expert guidance on ECS scaling, distributed patterns, fault tolerance, and cross-boundary synchronization—complemented by coverage of crucial maintainability aspects such as automated testing, debugging, editor tooling, and codebase evolution. Anchored by both foundational principles and future-facing research directions, Entity-Component System Design Patterns is an indispensable guide for designing, optimizing, and extending ECS-based architectures in demanding computational domains.