{
  "source": "../results/latest.json",
  "source_sha256": "044fed3620ae3e6b421948126c6a05614f60bead24997996ca68c76666431232",
  "hardware": "Ryzen 7 5800H · RTX 3060 Laptop",
  "A": {
    "workload": "65,536 seeds × 257 × 257",
    "metric": "CPU search / GPU scan",
    "before_ms": 3550.398367,
    "after_ms": 111.109917
  },
  "B": {
    "workload": "65,536 seeds × 4097 × 4097",
    "metric": "GPU kernel",
    "before_ms": 31598.53906,
    "after_ms": 17600.38672
  },
  "C": {
    "workload": "1 seed × 8193 × 8193",
    "metric": "GPU kernel",
    "before_ms": 2.714623928,
    "after_ms": 1.598464012
  },
  "D": {
    "before_ms": 63.75014496,
    "after_ms": 0.3235839903,
    "workload": "已知坐标 · 11,010,048 lower35",
    "metric": "CUDA event kernel · 中位数 / 5 轮 · 不含根生成与传输"
  },
  "E": {
    "before_ms": 130.1360626,
    "after_ms": 19.98233604,
    "workload": "65536 随机坐标 · 同一完整根列表",
    "metric": "CUDA event 搜索含预计算 · 中位数 / 7 轮 · 不含根生成"
  },
  "F": {
    "before_ms": 141.138417,
    "after_ms": 9.585776,
    "workload": "32768 位置 / 512 类 · 同批完整根任务一致",
    "metric": "host 批次墙钟 · 中位数 / 3 轮 · 排除一次初始化"
  },
  "CLI": {
    "anchors": 525313,
    "root_jobs": 368935,
    "matches": 0,
    "scan_ms": 3989.615391
  },
  "sources": [
    {
      "path": "../../show/results/latest.json",
      "sha256": "044fed3620ae3e6b421948126c6a05614f60bead24997996ca68c76666431232"
    },
    {
      "path": "../../show/BENCHMARK.md",
      "sha256": "6eae6f123fe0c53f231f73f8b879078ae90ea747417dab693550e35d6e6c94b9"
    },
    {
      "path": "../../show/DOCUMENT.md",
      "sha256": "765340f78b6bca00097363f5c7be087703f8181f9a2d3c250db20bb9611c83b4"
    },
    {
      "path": "../../include/slime/solver_core.hpp",
      "sha256": "feb1200518716b4d796fb60f60a83b6b798155bbd4e795531793181a5c7f9eba"
    },
    {
      "path": "../../include/slime/upper_interval.hpp",
      "sha256": "fe2ca1ed5a11a2d7914410549003738b42315c7e61d819f7c109c2d339a01c48"
    },
    {
      "path": "../../bench/README.md",
      "sha256": "e2bca364899a8c77b4d519f5068b3b906eabd50911ff7f541fd1275970e05745"
    },
    {
      "path": "../../bench/results/local-r512-n5.json",
      "sha256": "736b329a3b2df479d22b4b14260d2a07ea7e7a07ee1f092ca7cd5eef1b2a4409"
    },
    {
      "path": "../../research/OPTIMIZATION_SUMMARY.md",
      "sha256": "2e3a9cb48e8a099f7c487c9a0e131f34c49d6f57f4ccfa669f2499aaacf3cc1a"
    },
    {
      "path": "../../research/experiments/full_search_feasibility/REPORT.md",
      "sha256": "0d0ddee7a5a022c806955a7095c8adad6620d93d5589085539d59cc9fc5d26c0"
    },
    {
      "path": "../../research/experiments/full_search_feasibility/results/summary.json",
      "sha256": "34d8205bb221d1e97effd4f43e4416321a31905315a59abc25ce80ca4abfbce4"
    },
    {
      "path": "../../research/experiments/full_search_feasibility/results/complete65536.jsonl",
      "sha256": "60af282ec9ee1b9d3044e838782f23c2275c37c6a9927fcafcf621b7a7f576cf"
    },
    {
      "path": "../../research/experiments/normal_search/REPORT.md",
      "sha256": "43ca60cbcf1a808bf04dad2a50f332d609bd3205f583d0f2ab88985c50a8a5e6"
    },
    {
      "path": "../../research/experiments/normal_search/results/summary.json",
      "sha256": "eab9db6035745e5570c7a6d858330d699629f4bc3b5a1c12877a4fb214405a3e"
    },
    {
      "path": "../../research/experiments/normal_search/PIPELINE_REPORT.md",
      "sha256": "e4e479f7109a9da10dbd36ecc551ade3c8cc5c9c56eaffb899014ad2ebfdf9c2"
    },
    {
      "path": "../../research/experiments/normal_search/pipeline_results/summary.json",
      "sha256": "64ef8b5f3ab74f0d99406c4bdae7bf5015c1289434acb06d0978d938be5cc850"
    },
    {
      "path": "../../show/video/STORYBOARD.md",
      "sha256": "6fa54f5429218894b2b55f0128fa569060c7a0a619550238a5654f430cc91717"
    }
  ],
  "updated": "2026-10-16",
  "P": {
    "before_ms": 0.3235839903,
    "after_ms": 0.2682879865,
    "workload": "锚点 (51069,419124) · 同一个实心 5×5 窗口",
    "metric": "搜索 CUDA event · 7 轮中位数，含每轮公共项准备；不含筛根与传输"
  },
  "G": {
    "before_ms": 0.2682879865,
    "after_ms": 0.1566720009,
    "workload": "锚点 (51069,419124) · 同一个实心 5×5 窗口",
    "metric": "搜索 CUDA event · 7 轮中位数，含每轮公共项准备；不含筛根与传输"
  },
  "ROOT": {
    "position": [
      51069,
      419124
    ],
    "roots": 84,
    "lower35": 11010048,
    "difference_survivors": 36
  }
}