{
  "id": "lib-process:gpu-programming--multi-gpu-programming",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/multi-gpu-programming",
    "description": "Multi-GPU Programming - Process for scaling applications across multiple GPUs within a single node\nor across multiple nodes. Covers workload distribution, inter-GPU communication, and synchronization.",
    "libraryPath": "library/specializations/gpu-programming/multi-gpu-programming.js",
    "specialization": "gpu-programming",
    "references": [
      "- NCCL Documentation: https://docs.nvidia.com/deeplearning/nccl/",
      "- Multi-GPU Programming Guide: https://docs.nvidia.com/cuda/cuda-c-programming-guide/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/multi-gpu-programming', {\n  projectName: 'distributed_training',\n  numGpus: 4,\n  communicationPattern: 'all-reduce',\n  scalingStrategy: 'data-parallel'\n});",
    "usesAgents": [
      "multi-gpu-systems-expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--multi-gpu-programming",
      "to": "lib-agent:gpu-programming--multi-gpu-systems-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}