iiRecord
Agentic AI Atlas · specializations/gpu-programming/shared-memory-usage-patterns
lib-process:gpu-programming--shared-memory-usage-patternsa5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--shared-memory-usage-patterns

Structured · live

specializations/gpu-programming/shared-memory-usage-patterns 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--shared-memory-usage-patterns",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/shared-memory-usage-patterns",
    "description": "Shared Memory Usage Patterns - Process for effectively utilizing shared memory for inter-thread\ncommunication, data reuse, and performance optimization.",
    "libraryPath": "library/specializations/gpu-programming/shared-memory-usage-patterns.js",
    "specialization": "gpu-programming",
    "references": [
      "- Shared Memory: https://docs.nvidia.com/cuda/cuda-c-programming-guide/",
      "- Bank Conflicts: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/shared-memory-usage-patterns', {\n  projectName: 'matrix_transpose',\n  targetKernels: ['transpose_naive', 'transpose_tiled'],\n  tilingStrategy: 'square-tiles',\n  optimizeBankConflicts: true\n});",
    "usesAgents": [
      "gpu-memory-expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--shared-memory-usage-patterns",
      "to": "lib-agent:gpu-programming--gpu-memory-expert",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}