workflow:gpu-kernel-benchmarking

{
  "id": "workflow:gpu-kernel-benchmarking",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-gpu.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "GPU Kernel Benchmarking",
    "workflowKind": "development",
    "triggerType": "event-driven",
    "typicalCadence": "per-optimization",
    "complexity": "single-team",
    "description": "Benchmarks GPU compute kernels across hardware targets — measuring\nthroughput, latency, memory bandwidth, and occupancy; comparing\nagainst baseline; profiling hotspots; and publishing results to\na performance dashboard. Excludes kernel development.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "role:performance-profiler",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "role:implementer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "skill-area:observability-pipeline",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "domain:scientific-computing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "responsibility:performance-budget-tracking",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "org-unit:research-engineering",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:gpu-kernel-benchmarking",
      "to": "org-unit:ml-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}