{
  "id": "lib-process:gpu-programming--ml-inference-optimization",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/ml-inference-optimization",
    "description": "Machine Learning Inference Optimization - Workflow for optimizing GPU-accelerated ML model\ninference for production deployment, covering quantization, batching, and kernel fusion.",
    "libraryPath": "library/specializations/gpu-programming/ml-inference-optimization.js",
    "specialization": "gpu-programming",
    "references": [
      "- TensorRT Documentation: https://docs.nvidia.com/deeplearning/tensorrt/",
      "- ONNX Runtime: https://onnxruntime.ai/",
      "- Quantization: https://pytorch.org/docs/stable/quantization.html"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/ml-inference-optimization', {\n  modelName: 'resnet50',\n  framework: 'pytorch',\n  targetLatency: 5,\n  quantization: 'int8'\n});",
    "usesAgents": [
      "ml-inference-optimizer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "workflow:ml-model-lifecycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--ml-inference-optimization",
      "to": "lib-agent:gpu-programming--ml-inference-optimizer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}