{
  "$schema": "https://www.triadicframeworks.org/schemas/module.schema.json",
  "$generated": "2026-08-03T09:53:00",
  "$version": "1.4",
  "$round": "R5",
  "identity": {
    "module": "tft-opengpu",
    "canonical_name": "TFT OpenGPU Stack Module",
    "module_path": "docs/TFT.OpenGPU.Stack.Module",
    "version": "1.0",
    "status": "Active Canonical",
    "category": "Tools & Infrastructure",
    "summary": "GPU-accelerated structural tensor computation: powers dimensional resonance scanning, substrate basin mapping, and domain overlay generation at scale"
  },
  "purpose": {
    "role": "GPU-accelerated structural tensor computation: powers dimensional resonance scanning, substrate basin mapping, and domain overlay generation at scale",
    "description": "The TFT OpenGPU Stack Module provides the hardware-accelerated compute layer for TriadicFrameworks' most intensive structural tensor operations. It wraps GPU-optimised implementations of the Dimensional Resonance Scanner's 66-pair coefficient computation, the Coherence Tensor Engine's N×N tensor decomposition, the Stability Basin Cartographer's basin scoring, and the Triadic Regime Synthesizer's domain translation passes. At scale (large regime graphs, multi-domain runs, continuous monitoring), OpenGPU reduces DRM generation time from O(N²) CPU time to near-real-time.",
    "spine_role": "GPU compute backbone for all tensor-heavy S3 Spine engines",
    "audience": [
      "engineers",
      "developers",
      "AIs",
      "infrastructure teams"
    ]
  },
  "structure": {
    "module_type": "Compute Accelerator",
    "triadic_lens": "opengpu-as-spine-compute",
    "analyzer_layer": [
      "Tools & Infrastructure",
      "Core Frameworks — Structural Spine"
    ]
  },
  "files": {
    "core": [
      "TFT.OpenGPU.Stack.Module.md",
      "index.md"
    ],
    "support": [
      "module.json",
      "README.md"
    ],
    "ai": [
      "module.json"
    ]
  },
  "session_context": {
    "rtt": "1",
    "coherence": "declared",
    "drift": "bounded",
    "paradox": "structural",
    "format": "module.json",
    "round": "R5"
  },
  "ai_metadata": {
    "navigation": {
      "url": "https://www.triadicframeworks.org/TFT.OpenGPU.Stack.Module/",
      "path": "docs/TFT.OpenGPU.Stack.Module"
    },
    "ai_ready": true,
    "ai_module_id": "tft-opengpu",
    "ai_keywords": [
      "OpenGPU",
      "GPU acceleration",
      "tensor computation",
      "DRM",
      "dimensional resonance",
      "basin scoring",
      "real-time spine",
      "TriadicFrameworks",
      "S3 Spine",
      "R5"
    ],
    "ai_purpose": "GPU-accelerated structural tensor computation: powers dimensional resonance scanning, substrate basin mapping, and domain overlay generation at scale",
    "ai_audience": [
      "engineers",
      "developers",
      "AIs",
      "infrastructure teams"
    ],
    "license": "See docs/LICENSE_module.json",
    "module": {
      "module_id": "tft-opengpu",
      "canonical_name": "TFT OpenGPU Stack Module",
      "version": "1.0"
    }
  }
}