iiRecord
Agentic AI Atlas · specializations/gpu-programming/gpu-performance-regression-testing
lib-process:gpu-programming--gpu-performance-regression-testinga5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--gpu-performance-regression-testing

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specializations/gpu-programming/gpu-performance-regression-testing 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--gpu-performance-regression-testing",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/gpu-performance-regression-testing",
    "description": "GPU Performance Regression Testing - Workflow for establishing and maintaining GPU performance\nbenchmarks to detect regressions across code changes and hardware.",
    "libraryPath": "library/specializations/gpu-programming/gpu-performance-regression-testing.js",
    "specialization": "gpu-programming",
    "references": [
      "- Google Benchmark: https://github.com/google/benchmark",
      "- NVIDIA/cuda-samples benchmarks: https://github.com/NVIDIA/cuda-samples",
      "- Performance Testing Best Practices: https://developer.nvidia.com/blog/"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/gpu-performance-regression-testing', {\n  projectName: 'cuda_library',\n  benchmarkSuite: ['gemm', 'convolution', 'reduction'],\n  thresholds: { latencyRegression: 5, throughputRegression: 5 },\n  ciIntegration: true\n});",
    "usesAgents": [
      "gpu-performance-engineer",
      "devops-engineer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "workflow:performance-profiling-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--gpu-performance-regression-testing",
      "to": "lib-agent:gpu-programming--gpu-performance-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}