Aditya is the in-house CS:GO writer at AFK Gaming. While his understanding of the esports space is hamiş restricted by geographical borders, his current focus lies in the Asian region. Understands and follows almost all major esport titles.
In the next few sections, I’ll go through these problems and how we solved them, which enabled us to reach the stable and effective Fog of War system we have protecting
Before implementing the occlusion culling solution, our server performance was awful, Frame times were doubled, which basically sent us from 128 tick back to 64 tick. In a 10 player game, we were calculating relevancy more than 350 times every frame, and each one of those included the relatively costly original 10 raycast line-of-sight checks. The new PVS-based checks dramatically improved performance and I gained even more through a few other optimizations.
To catch those subtle problems and to get snapshot views of overall system performance, I created dashboards to track the health and effectiveness in real matches. I built telemetry into the game server that measures the results of every Fog of War query. Then I used these results to build dashboards that show the amount of time enemies are relevant and what percentage of Fog of War queries have each result (e.
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Line-of-sight checks against the bounding box help mitigate but isn’t a full solution / Riot Games
Both need optimistic results, where we only remove things if we’re positive they won’t be needed.
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Reducing the number of objects sent to the GPU makes rendering a scene much faster. The problems I was having with Fog of War visibility were similar because:
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