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    "Transfers and synchronization are included; compilation/preparation are separate.",
    "Startup times: {\"cuda\": {\"first_evaluation_seconds\": 0.1885257000103593, \"setup_seconds\": 0.8845528999809176}, \"cuda_cache_2048_mib\": {\"first_evaluation_seconds\": 0.03803569998126477, \"setup_seconds\": 0.1637885000091046}, \"numpy\": {\"first_evaluation_seconds\": 3.1187023000093177, \"setup_seconds\": 7.800001185387373e-06}}",
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    "Workload: 25 frames; 33173268 total points; camera grids: [(1226, 370, 'pinhole')]",
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    "CUDA pool reservation includes reusable scratch allocations; device usage includes context/other applications. Snapshots are not process peak VRAM.",
    "Input upload counters cover coordinates, depth maps and LiDAR ranges, excluding small pose/bin-edge uploads and returned histograms. Preparation uploads are separate from evaluation uploads.",
    "Cache comparison keeps CUDA projectors resident together and rotates timing order. Pool/device snapshots include all resident projectors; cached bytes and input upload counters are per projector.",
    "All full solver results and traces exactly match NumPy.",
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    "Publication metadata normalizes local interpreter/dataset paths and host names; numerical records and original input/config/code digests are unchanged. The original local report SHA-256 is recorded in source_artifacts."
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      },
      "provenance": {
        "command": "python tools/benchmark_d2d_projection.py --problem ${DATASET_ROOT}/calibrex_camera_lidar_v07_eval/runs/kitti_raw_0018/problem-integrated-r5.yaml --backends numpy cuda --cuda-cache-mib 256 --compare-cuda-cache-mib 2048 --repeats 3 --solve-evaluations 13 --solver-repeats 3 --output-dir outputs/d2d-cache-profile/kitti-raw-paired",
        "config_sha256": "a98a5999e55560e08357d6b9c6aef27b3cb8afc3aa3f333eaa396f9ff2530378",
        "execution_host": "${HOST}",
        "input_sha256": "869e64208ef5f6b6387f3f052ded88a9d80ef27995bcadd534bf259063fca5c0",
        "notes": [
          "All timed projections and MI records exactly match the NumPy reference."
        ]
      },
      "runtime_seconds": 0.39736780000384897,
      "split_id": "1",
      "status": "success"
    },
    {
      "method_id": "cuda_cache_2048_mib",
      "metrics": {
        "solver_seconds": 0.4511194999795407
      },
      "provenance": {
        "command": "python tools/benchmark_d2d_projection.py --problem ${DATASET_ROOT}/calibrex_camera_lidar_v07_eval/runs/kitti_raw_0018/problem-integrated-r5.yaml --backends numpy cuda --cuda-cache-mib 256 --compare-cuda-cache-mib 2048 --repeats 3 --solve-evaluations 13 --solver-repeats 3 --output-dir outputs/d2d-cache-profile/kitti-raw-paired",
        "config_sha256": "a98a5999e55560e08357d6b9c6aef27b3cb8afc3aa3f333eaa396f9ff2530378",
        "execution_host": "${HOST}",
        "input_sha256": "869e64208ef5f6b6387f3f052ded88a9d80ef27995bcadd534bf259063fca5c0",
        "notes": [
          "All timed projections and MI records exactly match the NumPy reference."
        ]
      },
      "runtime_seconds": 0.4511194999795407,
      "split_id": "2",
      "status": "success"
    }
  ]
}
