II.
LibraryProcess JSON
Structured · livelib-process:gpu-programming--gpu-memory-pool-allocator
specializations/gpu-programming/gpu-memory-pool-allocator json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "specializations/gpu-programming/gpu-memory-pool-allocator",
"description": "GPU Memory Pool and Allocator Design - Workflow for implementing custom GPU memory allocators\nand pools to reduce allocation overhead and fragmentation.",
"libraryPath": "library/specializations/gpu-programming/gpu-memory-pool-allocator.js",
"specialization": "gpu-programming",
"references": [
"- CUDA Memory Management: https://docs.nvidia.com/cuda/cuda-c-programming-guide/",
"- Memory Pools API: https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY__POOLS.html"
],
"example": "const result = await orchestrate('specializations/gpu-programming/gpu-memory-pool-allocator', {\n projectName: 'inference_engine',\n allocationType: 'caching',\n poolStrategy: 'buddy-system',\n memoryBudget: '4GB'\n});",
"usesAgents": [
"gpu-memory-expert"
]
},
"outgoingEdges": [
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "skill-area:cuda-kernels",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "skill-area:compute-shaders",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "skill-area:gpu-memory-hierarchy",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "domain:scientific-computing",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "role:ml-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "workflow:performance-profiling-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "specialization:gpu-programming",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-memory-pool-allocator",
"to": "lib-agent:gpu-programming--gpu-memory-expert",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}