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Agentic AI Atlas · specializations/gpu-programming/gpu-cpu-data-transfer-optimization
lib-process:gpu-programming--gpu-cpu-data-transfer-optimizationa5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--gpu-cpu-data-transfer-optimization

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specializations/gpu-programming/gpu-cpu-data-transfer-optimization json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/gpu-cpu-data-transfer-optimization",
    "description": "GPU-CPU Data Transfer Optimization - Workflow for minimizing data transfer overhead between\nhost and device memory. Covers asynchronous transfers, pinned memory, and compute-transfer overlap.",
    "libraryPath": "library/specializations/gpu-programming/gpu-cpu-data-transfer-optimization.js",
    "specialization": "gpu-programming",
    "references": [
      "- CUDA Best Practices - Data Transfer: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/",
      "- Unified Memory: https://docs.nvidia.com/cuda/cuda-c-programming-guide/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/gpu-cpu-data-transfer-optimization', {\n  projectName: 'streaming_pipeline',\n  transferPatterns: ['input_streaming', 'output_collection'],\n  usePinnedMemory: true,\n  asyncTransfers: true\n});",
    "usesAgents": [
      "gpu-memory-expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-cpu-data-transfer-optimization",
      "to": "lib-agent:gpu-programming--gpu-memory-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}