In modern game engines, precision is everything — but that comes at a cost. Behind every rendered frame, especially in physics and lighting calculations, there's a less-talked-about performance sink: root solving.
Traditional engines solve roots perfectly — even when perfection isn’t perceptible. Think of quiet frames where characters aren’t moving, environments are static, and player attention is elsewhere. We’re wasting compute resources recalculating values that have barely changed, like a characters chest expanding and contracting while stationary, every single frame - and that impacts latency, temperature, and critical compute resourcing.
What if there was a better way?
Introducing GeodesIQ: A Branchless Polynomial Solver Built for Gaming Architecture
At GeodesIQ, we’ve been rethinking the fundamental assumptions baked into how engines calculate roots — and how they handle stability between frames. Our new Geode solver tackles this with a branchless structure designed for sustained, observable convergence, rather than brute-force perfection.
When paired with Newton's method, Geode enables frame-aware calculations that preserve results across low-motion frames and ease up on compute stress when convergence is stable. This unlocks:
- Lower latency on heavy frames
- More intelligent GPU usage — especially in pipelines where Newton’s method is under-leveraged
- Lightweight module opportunities — ideal for VR, AR, and indie engine design
Why This Matters
We're not replacing root solving — we're optimizing when and how it fires.
This method offers a path toward:
- Smaller, more sustainable engines
- Smarter AI rendering logic
- Modular compute reduction in constrained environments like wearables, headsets, or microgame platforms
What We’re Asking
We're sharing this high-level concept with the dev community to gather early feedback and identify potential collaborators. Specifically, we want to hear from:
- Game engine developers experimenting with custom physics layers
- VR and AR engineers seeking frame optimization gains
- AI and simulation researchers exploring branchless logic in real-time systems
If you’ve run into the limits of your solver — or are just curious about breaking open this quiet bottleneck — we’d love to connect.
Follow us here or reach out directly if you're interested in early access to prototypes or integration notes once we move to wider release.
Let’s stop solving everything and focus on what's important.
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