metadata
license: other
title: RFT Adaptive Computing Kernel
sdk: gradio
emoji: 🚀
colorFrom: yellow
colorTo: pink
short_description: Adaptive RFT kernel computing stability and coherence metric
sdk_version: 5.49.1
🧠 RFT Adaptive Computing Kernel (v1.0)
The Rendered Frame Theory (RFT) Adaptive Computing Kernel simulates harmonic stability and coherence across CPU, GPU, and TPU environments.
It benchmarks computational self-stabilisation under varying workloads and randomised system noise, providing a verified proof log for every run.
⚙️ How It Works
Each simulation dynamically generates:
- QΩ (Stability Metric): Reflects harmonic equilibrium of compute operations.
- ζ_sync (Coherence Metric): Measures synchronization under fluctuating workloads.
- rate_items_per_sec: Estimated throughput (adaptive, noise-adjusted).
- SHA-512 Sealed Log: Each run produces a cryptographically signed verification record.
🧩 Parameters
| Parameter | Description |
|---|---|
| Compute Profile | CPU, GPU, or TPU mode |
| Workload Type | Matrix, Transformer, or Mixed |
| Cycles | Number of operational iterations |
| Seed | Random seed for reproducibility |
📊 Output Example
{
"profile": "GPU",
"workload": "transformer",
"cycles": 5,
"rate_items_per_sec": 8.12e+08,
"QΩ": 0.841,
"ζ_sync": 0.792,
"status": "nominal",
"timestamp_utc": "2025-10-29T15:02:14Z",
"sha512": "..."
}