{
  "id": "lib-process:gpu-programming--occupancy-optimization",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/occupancy-optimization",
    "description": "Occupancy Optimization - Process for optimizing SM occupancy by balancing resource usage\n(registers, shared memory, thread block size) to maximize parallelism.",
    "libraryPath": "library/specializations/gpu-programming/occupancy-optimization.js",
    "specialization": "gpu-programming",
    "references": [
      "- CUDA Occupancy Calculator: https://docs.nvidia.com/cuda/cuda-occupancy-calculator/",
      "- Occupancy Best Practices: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/occupancy-optimization', {\n  projectName: 'convolution_kernels',\n  targetKernels: ['conv2d_forward', 'conv2d_backward'],\n  targetOccupancy: 75,\n  targetArch: 'sm_86'\n});",
    "usesAgents": [
      "gpu-performance-engineer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--occupancy-optimization",
      "to": "lib-agent:gpu-programming--gpu-performance-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}