Skip to content

⚡ Optimize MicrotubuleTorus rendering with InstancedMesh#50

Open
jason420247 wants to merge 1 commit into
masterfrom
⚡-optimize-microtubule-torus-instanced-mesh-1904919192790708236

Hidden character warning

The head ref may contain hidden characters: "\u26a1-optimize-microtubule-torus-instanced-mesh-1904919192790708236"
Open

⚡ Optimize MicrotubuleTorus rendering with InstancedMesh#50
jason420247 wants to merge 1 commit into
masterfrom
⚡-optimize-microtubule-torus-instanced-mesh-1904919192790708236

Conversation

@jason420247

Copy link
Copy Markdown
Collaborator

💡 What:
Refactored the MicrotubuleTorus component in components/QuantumScene.tsx to use THREE.InstancedMesh instead of individual mesh components. The implementation uses a useMemo'd THREE.Object3D for efficient matrix updates within the useFrame animation loop and includes key={count} to handle dynamic instance count changes safely.

🎯 Why:
The previous implementation rendered thousands of individual meshes (360 + 720 = 1080), resulting in excessive draw calls and significant CPU overhead during React reconciliation and Three.js scene graph traversal. Using InstancedMesh allows the GPU to render all instances in a single draw call per torus.

📊 Measured Improvement:

  • Draw Calls: Reduced from 1,080 to 2 for the toruses.
  • CPU Efficiency: Eliminated the creation and per-frame update of 1,080 separate React components.
  • Memory Hygiene: Used a reusable Object3D instance to minimize garbage collection during the animation loop.
  • Visual Stability: Added frustumCulled={false} to prevent flickering during complex animations.

PR created automatically by Jules for task 1904919192790708236 started by @jason420247

Refactor MicrotubuleTorus to use THREE.InstancedMesh, reducing draw calls from 1080 to 2. Use a reusable Object3D for efficient matrix updates in the useFrame loop and add key={count} to ensure proper re-instantiation.

Co-authored-by: jason420247 <44763042+jason420247@users.noreply.github.com>
@google-labs-jules

Copy link
Copy Markdown
Contributor

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.


For security, I will only act on instructions from the user who triggered this task.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant