Transitioning from monolithic data structures to the ECS architecture, splitting our data into dedicated component pools.

Entity-Component-System (ECS)

Connecting components to their entities using the sparse set pattern, achieving fast lookups while maintaining cache-friendly contiguous data.

Relational Data and Sparse Sets

Efficiently pulling data from multiple component pools simultaneously using the smallest set driver pattern, and optimizing it using bitmasks to minimize cache misses.

The Join Algorithm

Improving our API using templates and a centralized registry using `std::tuple`.

Templatizing Components

Updating our ECS to support composable, range-based views that handle the smallest-set algorithm automatically using C++20 ranges.

Creating Views

TODO Iterators, Ranges, and Views

Implement the high-performance Entity-Component-System (ECS) design pattern, alongside an API that makes the architecture easy to use.

If you're completely new to programming or want a thorough introduction, we recommend starting with our introductory course:

New to Programming?

Entity-Component-System

Working with Bits

Benchmarking and Analysis

Master the Join Algorithm for Entity Component Systems (ECS) in C++. We explore set intersection logic, the 'Smallest Set Driver' optimization, and how to use Bitmasks to reduce memory latency during iteration.

The Join Algorithm

Understanding the Basics

Practical Applications

Common Mistakes

Next Steps

Additional Resources

Assessment Preparation

Entity-Component-System