II.
LibraryProcess JSON
Structured · livelib-process:gpu-programming--shared-memory-usage-patterns
specializations/gpu-programming/shared-memory-usage-patterns json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"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": []
}