{
  "id": "lib-process:gpu-programming--custom-cuda-operator-development",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/custom-cuda-operator-development",
    "description": "Custom CUDA Operator Development for Deep Learning - Process for developing custom CUDA kernels\nintegrated with deep learning frameworks (PyTorch, TensorFlow) for specialized operations.",
    "libraryPath": "library/specializations/gpu-programming/custom-cuda-operator-development.js",
    "specialization": "gpu-programming",
    "references": [
      "- PyTorch CUDA Extensions: https://pytorch.org/tutorials/advanced/cpp_extension.html",
      "- TensorFlow Custom Ops: https://www.tensorflow.org/guide/create_op",
      "- Custom Operator Best Practices: https://pytorch.org/docs/stable/notes/extending.html"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/custom-cuda-operator-development', {\n  operatorName: 'fused_attention',\n  framework: 'pytorch',\n  operation: 'scaled_dot_product_attention',\n  supportBackward: true\n});",
    "usesAgents": [
      "ml-inference-optimizer",
      "cuda-kernel-expert",
      "gpu-performance-engineer"
    ]
  },
  "outgoingEdges": [
    {
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      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
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      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "skill-area:profiling-cuda",
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      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "lib-agent:gpu-programming--ml-inference-optimizer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "lib-agent:gpu-programming--cuda-kernel-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:gpu-programming--custom-cuda-operator-development",
      "to": "lib-agent:gpu-programming--gpu-performance-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}