iiRecord
Agentic AI Atlas · specializations/gpu-programming/tensor-core-programming
lib-process:gpu-programming--tensor-core-programminga5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--tensor-core-programming

Structured · live

specializations/gpu-programming/tensor-core-programming 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--tensor-core-programming",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/tensor-core-programming",
    "description": "Tensor Core Programming - Workflow for utilizing NVIDIA Tensor Cores for accelerated\nmatrix multiply-accumulate operations in deep learning and HPC applications.",
    "libraryPath": "library/specializations/gpu-programming/tensor-core-programming.js",
    "specialization": "gpu-programming",
    "references": [
      "- WMMA API: https://docs.nvidia.com/cuda/cuda-c-programming-guide/",
      "- Tensor Core Programming: https://developer.nvidia.com/blog/programming-tensor-cores-cuda-9/",
      "- CUTLASS: https://github.com/NVIDIA/cutlass"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/tensor-core-programming', {\n  projectName: 'transformer_attention',\n  matrixOperation: 'batched_gemm',\n  precision: 'fp16',\n  useWmma: true\n});",
    "usesAgents": [
      "tensor-core-specialist"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--tensor-core-programming",
      "to": "lib-agent:gpu-programming--tensor-core-specialist",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}