II.
LibraryProcess JSON
Structured · livelib-process:gpu-programming--gpu-image-video-processing
specializations/gpu-programming/gpu-image-video-processing json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:gpu-programming--gpu-image-video-processing",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "specializations/gpu-programming/gpu-image-video-processing",
"description": "GPU-Accelerated Image and Video Processing - Workflow for implementing GPU-accelerated\nimage and video processing pipelines for real-time applications.",
"libraryPath": "library/specializations/gpu-programming/gpu-image-video-processing.js",
"specialization": "gpu-programming",
"references": [
"- NVIDIA Video Codec SDK: https://developer.nvidia.com/nvidia-video-codec-sdk",
"- NPP Library: https://docs.nvidia.com/cuda/npp/",
"- NVENC/NVDEC: https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix"
],
"example": "const result = await orchestrate('specializations/gpu-programming/gpu-image-video-processing', {\n projectName: 'video_effects',\n operations: ['resize', 'color_correction', 'denoise'],\n realTime: true,\n videoCodec: 'h264'\n});",
"usesAgents": [
"graphics-compute-expert",
"gpu-performance-engineer"
]
},
"outgoingEdges": [
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "skill-area:cuda-kernels",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "skill-area:compute-shaders",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "domain:scientific-computing",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "role:ml-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "workflow:performance-profiling-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "specialization:gpu-programming",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "lib-agent:gpu-programming--graphics-compute-expert",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:gpu-programming--gpu-image-video-processing",
"to": "lib-agent:gpu-programming--gpu-performance-engineer",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}