Data-oriented programming (DOP) shifts developers' focus from objects to how data moves through memory, offering performance benefits suitable for high-demand applications like gaming and trading. Unlike object-oriented programming (OOP) and functional programming (FP), DOP prioritizes memory access and data retrieval, aiming to minimize latency and enhance speed. This approach allows for better CPU cache utilization and facilitates parallel processing. DOP's growing popularity stems from its ability to handle data-intensive tasks while providing a more predictable program state, making it a valuable complement to OOP and FP under performance-critical circumstances.
Data-oriented programming (DOP) encourages developers to think less about objects and more about how data actually moves through memory.
DOP's emphasis on data and explicit transformations results in a more predictable and controllable program state, especially in intricate, data-intensive applications.
DOP has gained lots of popularity in recent years due to its high-performance computing, especially in High Frequency Trading (HFT) firms, game development, and data-intensive applications.
DOP doesn't replace OOP or FP. It complements them, especially when you're focused on speed, responsiveness, or scale.
#data-oriented-programming #performance-optimization #high-frequency-trading #game-development #memory-management
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