Data-oriented programming

Data-oriented programming is a software design approach that prioritizes efficient data organization and access patterns to optimize performance in data-intensive applications. Coursera's Data-oriented programming catalogue teaches you how to structure code around data, focusing on memory layout and hardware considerations. You'll learn to classify models between Array of Structures (AoS) and Structure of Arrays (SoA), determine memory footprints of data structures, and develop code to experiment with different data layouts. This skill empowers you to create high-performance, scalable solutions for scientific simulations, statistical data processing, and computer graphics, enhancing your ability to write efficient and maintainable C++ code for complex computational problems.