Optimizing the Particle Life: From 400 to 4M particles

The author dives into creating a particle simulation in Python based on Jeffrey Ventrella’s “Clusters” concept, showcasing emergence of lifelike structures from simple rules. They touch on flocking behavior in birds and complex systems like human societies. The author struggles with Python’s inefficiency and explores optimizing the code using C, JS, and WebAssembly. Surprisingly, JS outperforms C, questioning the need for WebAssembly. The goal is to reach simulating one million particles with screenshots to pique interest. This deep-dive series promises spatial partitioning and GPU optimization in the next parts. Despite challenges, the author finds the project mesmerizing. (Word count: 192)

https://programmingattack.com/articles/optimizing-the-article-life-from-a-thousand-to-a-milion-particles

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