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Real-time systems implemented with the OOP paradigm suffers from some huge problems because OOP scatters data all around the memory, it’s not simple to implement parallelization and loses a lot of time with cache miss.
DOD comes to help in this field by making programmers to think about the data first and creating the code around it. This way data layout can be optimized having in mind how it will be used and this approach is showing great results.
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You may have heard of data-oriented game engine design, a relatively new concept that proposes a different mindset to the more traditional object-oriented design. In this article, I'll explain what...
Article talking about the concepts of data-oriented design and why it can help us improve games performance.
DOD Strenghts: Parallelization, vectorization, unit testing, multi-threading, decrease cache miss etc.
Problem with OOP: Object-oriented programming is [...] both anti-modular and anti-parallel by its very nature, and hence unsuitable for a modern CS curriculum.
Data-Oriented Design, or DOD for short, seeks to maximize efficiency by laying out data in such a way that their processing is as streamlined as possible. This is often against the usual object-based principles that naturally lead to grouping the information accordingly to the user-domain entities that it models. Consider for instance a game where large quantities of particles are rendered and moved around:
