HyperThreading Optimizer - Asynchronous Performance Fix CKAN

A performance plugin designed to offload heavy calculations to logical threads via Intel Hyper-Threading, freeing up the main physics core. [NOW TESTED!!!!]

License: MIT

Game Version: 1.12.5

Downloads: 91

Author: Worker3626

Followers: 2

HyperThreading Optimizer

⚠️ NOTE: This mod is only tested in a i7 4770k, if you have an amd or other i dont know the results.

Performance mod tested in a mid range pc in ksp with 190+ mods, Before 30,35 fps in earth (KSRSS) After +5-10 fps boost in multitask (spotify) and less stutters

An asynchronous performance-focused plugin for Kerbal Space Program 1 designed to squeeze extra power out of multi-threaded processors, specifically optimized for CPUs utilizing technologies like Intel Hyper-Threading.

🚀 How it works

KSP 1 natively bounds its vessel physics calculations to a single single-thread. This mod acts as a logistical helper by capturing non-physics background data (such as complex telemetry, resource states, and orbital predictions) and safely delegating them to secondary logical threads using the .NET ThreadPool.

By offloading these secondary heavy mathematical tasks away from Thread 1, your main physics core gains extra breathing room to focus entirely on calculation-heavy rigid body physics and vessel joints, reducing micro-stuttering and lag spikes.

🛠️ Key Features

  • Thread-Safe Data Processing: Uses localized data mirroring to ensure background threads never conflict with Unity's main engine.
  • GC-Friendly Framework: Built strictly without LINQ or heavy iterations inside tick updates to minimize Garbage Collection (GC Alloc) spikes and stutters.
  • Smart Sleep Limiter: Background operations are throttled appropriately to prevent high total CPU core utilization spikes.

📦 Installation

  1. Download the .zip file.
  2. Extract the contents.
  3. Drag and drop the HyperThreadingOptimizer folder directly into your KSP GameData directory.

Developed as part of a modding learning journey, leveraging AI-assisted framework refinements for optimized thread scheduling.

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