Practical articles on CPU, GPU, memory and engineering process optimization.
Exploring Low-Level GPU Metrics With SMM: When GPU performance collapses, generic profiling views are often too high-level to explain why. You need low-level counters, or you stay stuck in expensive guess-and-check loops.
IL2CPP's Most Intimate Performance Secrets: If your hot C# path runs thousands of times per frame, tiny IL2CPP details become real frame time.
Talking about the games industry...
Butchering Shaders for Performance: Most shader slowdowns are not magic, they are expensive instructions repeated millions of times.
And yet the question comes back to strike again... is pooling dead?
Rocket-Performance: From 0 to 90FPS+: You do not jump from bad FPS to stable 90 by random tweaks. You get there by killing the right bottleneck, in the right order, with evidence instead of panic.
Are my student emails like this one justified?
I just got this inspiring email from Performance Taskforce member Sourav...
I still see this happen. "Pipeliness" studios many times I do consulting. In spite of having no pipelines of any kind, they still produce great games, engaging experiences, profitable apps. Only that they ship projects at a much higher cost than they could.
"Niche" Shader Tricks to Remove Costly Overdraw: Overdraw is where your GPU starts burning cycles for pixels players never really see. Ignore it, and your game can fall off a frame-time cliff the moment effects stack up.
Huge Worlds, Huge Performance: Huge worlds fail when you treat memory like it is infinite. If everything stays loaded, you hit a bottleneck wall in memory, loading, and frame stability long before your content roadmap is done.
Metrics only matter if they drive decisions. This module shows how to set red/orange/green budgets, measure main vs render thread correctly, and automate repeatable Unity performance tests with markers, medians, and GC data.