{
  "id": "lib-process:gpu-programming--gpu-memory-optimization",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/gpu-memory-optimization",
    "description": "GPU Memory Optimization - Systematic approach to optimizing GPU memory access patterns,\nreducing memory bandwidth bottlenecks, and maximizing cache utilization.",
    "libraryPath": "library/specializations/gpu-programming/gpu-memory-optimization.js",
    "specialization": "gpu-programming",
    "references": [
      "- CUDA C++ Best Practices Guide - Memory Optimizations: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/",
      "- GPU Gems: Optimizing Memory Access: https://developer.nvidia.com/gpugems"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/gpu-memory-optimization', {\n  projectName: 'matrix_ops',\n  targetKernels: ['matmul', 'transpose'],\n  memoryAnalysis: true,\n  targetBandwidth: 80 // percentage of theoretical max\n});",
    "usesAgents": [
      "gpu-memory-expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "skill-area:gpu-memory-hierarchy",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-memory-optimization",
      "to": "lib-agent:gpu-programming--gpu-memory-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}