{
  "id": "lib-process:gpu-programming--cuda-kernel-development",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/cuda-kernel-development",
    "description": "CUDA Kernel Development Workflow - End-to-end process for developing, testing, and deploying CUDA kernels.\nCovers kernel design, thread indexing strategies, execution configuration, and integration with host code.",
    "libraryPath": "library/specializations/gpu-programming/cuda-kernel-development.js",
    "specialization": "gpu-programming",
    "references": [
      "- CUDA C++ Programming Guide: https://docs.nvidia.com/cuda/cuda-c-programming-guide/",
      "- CUDA C++ Best Practices Guide: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/",
      "- NVIDIA Developer Blog: https://developer.nvidia.com/blog/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/cuda-kernel-development', {\n  kernelName: 'matrix_multiply',\n  operation: 'GEMM',\n  dataType: 'float',\n  targetArch: 'sm_86',\n  blockSize: 256\n});",
    "usesAgents": [
      "cuda-kernel-expert",
      "gpu-debugging-specialist",
      "technical-writer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "skill-area:profiling-cuda",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "lib-agent:gpu-programming--cuda-kernel-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "lib-agent:gpu-programming--gpu-debugging-specialist",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:gpu-programming--cuda-kernel-development",
      "to": "lib-agent:meta--technical-writer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}