{
  "attention_long_context_coverage": {
    "by_tp": {
      "1": {
        "decode_kv_lengths": [
          128,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768,
          40960
        ],
        "true_mixed_decode_avg_kv_lengths": [
          512,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768
        ]
      },
      "2": {
        "decode_kv_lengths": [
          128,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768,
          40960
        ],
        "true_mixed_decode_avg_kv_lengths": [
          512,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768
        ]
      },
      "4": {
        "decode_kv_lengths": [
          128,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768,
          40960
        ],
        "true_mixed_decode_avg_kv_lengths": [
          512,
          1024,
          2048,
          4096,
          8192,
          16384,
          32768
        ]
      }
    },
    "included": true
  },
  "attention_tp_coverage": [
    1,
    2,
    4
  ],
  "environment_contract": {
    "dtype": "bfloat16",
    "frontier_commit": "d9cfeb6d8791fbf2f295dd9744c56a666171776e",
    "hardware": "NVIDIA H20",
    "model": "Qwen3-30B-A3B",
    "tensor_parallel_sizes": [
      1,
      2,
      4
    ],
    "vllm_source_commit": "88d34c6409e9fb3c7b8ca0c04756f061d2099eb1",
    "vllm_version": "0.20.0"
  },
  "inputs": {
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-composition-tp1-20260717-v1-20260717T014550833983Z/artifacts/artifacts/attention-composition-tp1-v1/raw/flashattn-composition-tp1.json": "ce461be92a5059e2d168b2cbf21b55d9a55ee71c3b0586a3e63cd8288938168d",
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-composition-tp2-20260717-v1-20260717T014551831545Z/artifacts/artifacts/attention-composition-tp2-v1/raw/flashattn-composition-tp2.json": "997d67fb3a28b488c3aa4945ae7c6d4ecf8a08726ee3cb4652d16c221ff395ad",
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-composition-tp4-20260717-v1-20260717T014552897206Z/artifacts/artifacts/attention-composition-tp4-v1/raw/flashattn-composition-tp4.json": "046cffd4c11d8a36513167ec25d3e1ca016324715679ea688a58d4a71dfe62b2",
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-long-context-tp1-20260717-v1-20260717T022700381447Z/artifacts/artifacts/attention-long-context-tp1-v1/raw/flashattn-long-context-tp1.json": "da3b5adaa0d06f6a0ab7394d3c85d8d0524f0bd571613785f1a6183f70eb457f",
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-long-context-tp2-20260717-v1-20260717T022701357659Z/artifacts/artifacts/attention-long-context-tp2-v1/raw/flashattn-long-context-tp2.json": "d503acb959f91b1713ff02d3251c781c240c4b057208033f4fd4a637af76e2cb",
    "/home/gahow/phd/aituner/runs/frontier-fidelity-envelope-v1/fleet-artifacts/qwen30-attention-long-context-tp4-20260717-v1-20260717T022702416725Z/artifacts/artifacts/attention-long-context-tp4-v1/raw/flashattn-long-context-tp4.json": "a24acd44ab4075a3ac0aad00b91e676b325b2427dbe14282260cae6769481cf7",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-allreduce-full-tp2-20260716-v1-dispatch-aware-20260716T140743025781Z/artifacts/artifacts/allreduce-full-tp2-v1/raw/allreduce-tp2.json": "97c3c76b5a04e95bd9192423c2b891667c668f39cc0dfecbd097d749939f2d0a",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-allreduce-full-tp4-20260716-v1-dispatch-aware-20260716T141106009788Z/artifacts/artifacts/allreduce-full-tp4-v1/raw/allreduce-tp4.json": "809df9baa6f468cf12bf0c99827475acc67894dd9f3f948976590b665fac0e76",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-flashattn-kv-full-tp1-20260716-v2-20260716T135132587012Z/artifacts/artifacts/flashattn-kv-full-v2-tp1/raw/flashattn-tp1.json": "dcb4c1bf7e76b9c765f78ddd2b8a734f2d7ba2adac13ce017689a8a77fe69a27",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-flashattn-kv-full-tp2-20260716-v2-20260716T135134194295Z/artifacts/artifacts/flashattn-kv-full-v2-tp2/raw/flashattn-tp2.json": "43ce042556ba887c8860614b43ccf0f564e5cebc1a0cffbce299d0acb9fa8d07",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-flashattn-kv-full-tp4-20260716-v2-20260716T135135197200Z/artifacts/artifacts/flashattn-kv-full-v2-tp4/raw/flashattn-tp4.json": "84eef31bcad0f556907a093318a420959d14fdc94474823d11f659704bdfec73",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-frontier-linear-full-20260716-v2-max-tokens-20260716T144444676943Z/artifacts/artifacts/frontier-linear-full-v2/profiles/compute/h20/qwen3-a3b-30b-moe/linear_op.csv": "67666cb0a4901b74599d468df2e31bcaa2a11a7842cc0cefba24ffce62508e0c",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-moe-full-20260716-v1-local-shard-20260716T141334565164Z/artifacts/artifacts/moe-full-v1/raw/moe-full.json": "588f6ad0d69c9636d1b852e3df0a12d13cfe731f050ea7ec7aea457cceefbde8",
    "/home/gahow/phd/aituner/runs/frontier-qwen30-vllm020-profile-v1/fleet-artifacts/qwen30-vllm020-router-full-20260716-v3-tp-context-20260716T145446098505Z/artifacts/artifacts/router-full-v3/raw/router.json": "1962972e983bff3e06a721ef4ae4ec65728ff669681497a4a7e7f769b88b4931"
  },
  "outputs": {
    "allreduce.json": "b38d14f990578d668523d25b107aceed433da5020d8ada3b6e44d3562261a3b3",
    "attention.csv": "4f0c42d2c47f52880d81b8d2b2d7d52bd62d2c34e0f3a7f94c4c6cbd64d751c8",
    "attention_true_mixed_fused.csv": "c84c129d466aec97b42f1255f3b7363fe7f73948dc27ed65b6ce599d6fb9af6d",
    "linear_op.csv": "67666cb0a4901b74599d468df2e31bcaa2a11a7842cc0cefba24ffce62508e0c",
    "moe.csv": "dd698113975e5ed77f51dfd8a69aebf764ed651c3f6f34b71914d25d6e001415"
  },
  "profile_id": "qwen3-30b-a3b-bf16-vllm020-h20-tp1-2-4-fused-mixed-total-conserving-pure-prefill-batch-composition-long-context-decode-mixed",
  "projection_contract": {
    "allreduce": "Frozen exact runtime measurements; base profile-only comparison keeps the historical Frontier CC backend fixed to isolate compute profile fidelity",
    "attention": "Pure prefill/extend/decode FA3 core plus separately measured KV update; input/output reshape assumed zero; exported mean is used as median target; true mixed rows use a total-conserving compatibility projection",
    "attention_long_context": "Direct FA3 measurements at decode KV lengths 16K/32K/40K, plus true-mixed prefill/decode measurements at 16K/32K, for TP1/2/4",
    "attention_pure_prefill_batch_composition": "Direct FA3 measurements for 2/4 requests at query length 2048 and 2/4/8/16 requests at query length 512 for each TP; included only when batch-composition attention inputs are supplied",
    "attention_true_mixed": "The directly measured fused total is preserved in diagnostics. Frontier's two targets are projected by the same-TP pure prefill/decode reference ratio, with projected prefill + decode exactly equal to the fused total; the split is a schema compatibility attribution, not an observation",
    "linear": "Frontier profiler using vLLM 0.20 CUDA operators",
    "moe": "Replicated gate and fused top-k plus TP-local modular expert kernel; expert measurement already includes prepare/finalize so shuffling is zero"
  },
  "row_counts": {
    "allreduce": 24,
    "attention_frontier_compatible": 213,
    "attention_true_mixed_fused_diagnostic": 48,
    "linear": 36,
    "moe": 72
  },
  "schema_version": "frontier_qwen30_vllm020_frozen_profile.v4"
}