| --- |
| license: other |
| title: RFT Adaptive Computing Kernel |
| sdk: gradio |
| emoji: 🚀 |
| colorFrom: blue |
| colorTo: green |
| short_description: Adaptive RFT kernel computing stability and coherence metric |
| sdk_version: 6.0.0 |
| thumbnail: >- |
| https://cdn-uploads.huggingface.co/production/uploads/685edcb04796127b024b4805/2T1X6xZm2w-L3hdCwtFbM.png |
| --- |
| # 🚀 RFT Adaptive Computing Kernel (v1.0) |
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| The **Rendered Frame Theory (RFT) Adaptive Computing Kernel** demonstrates real-time compute stability and harmonic coherence across CPU, GPU, and TPU workloads. |
| It applies RFT’s motion-based harmonic model to show how computation can self-balance under noise, load, or timing variance. |
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| ## 🔧 Overview |
| This kernel simulates adaptive performance regulation through harmonic metrics: |
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| | Metric | Description | |
| |---------|-------------| |
| | **QΩ** | Harmonic stability (amplitude equilibrium). | |
| | **ζ_sync** | Synchronisation coherence (phase alignment). | |
| | **items/sec** | Throughput estimate after adaptive correction. | |
| | **status** | System state — nominal / perturbed / critical. | |
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| ## 🧩 Profiles |
| - **CPU** — Linear compute flow tests. |
| - **GPU** — Parallel matrix or transformer operations. |
| - **TPU** — Tensor inference and batch stability. |
| - **Mixed / I/O** — Combined memory and data-path stress tests. |
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| ## ⚙️ How to Use |
| 1. Choose a **Profile** and **Workload**. |
| 2. Adjust **Noise σ** (0 – 0.30) to simulate load variation. |
| 3. Run the kernel. |
| 4. Review the JSON output showing QΩ, ζ_sync, items/sec, and stability status. |
| 5. Optionally download the run log for SHA-512 verification. |
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| Repeated runs at fixed σ demonstrate adaptive recovery and equilibrium maintenance. |
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| ## 🎯 Purpose |
| The Adaptive Computing Kernel bridges theoretical physics and computer engineering by proving that RFT’s harmonic feedback can stabilise computation itself—creating a self-governing, energy-efficient framework for AI, aerospace, and energy systems. |
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| ## ⚖️ Rights & Contact |
| All Rights Reserved — **RFT-IPURL v1.0 (UK / Berne Convention)** |
| Research validation use only; no reverse-engineering or redistribution without written consent. |
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| **Author:** Liam Grinstead |
| **Affiliation:** Rendered Frame Theory Systems (RFTSystems) |
| **DOI:** [https://doi.org/10.5281/zenodo.17466722](https://doi.org/10.5281/zenodo.17466722) |
