)]}'
{
  "commit": "85ba0becb631739a07716ebb0d7905a552263cb3",
  "tree": "4bef5c3c6fe4d0be0fe2310b3a2c6129c902087f",
  "parents": [
    "0e4cf8f37e238ab92cec731e7063516053b4292f"
  ],
  "author": {
    "name": "Nicolas Capens",
    "email": "capn@google.com",
    "time": "Mon Feb 14 16:45:16 2022 -0500"
  },
  "committer": {
    "name": "Nicolas Capens",
    "email": "nicolascapens@google.com",
    "time": "Wed Feb 16 03:14:24 2022 +0000"
  },
  "message": "Benchmark the effect of flush-to-zero / denormals-are-zero\n\nPerformance penalties for floating-point operations involving subnormal\nnumbers are quite rare on modern CPUs, but multiplying two normalized\nnumbers which produce a subnormal result is found to cause a ~100x\nslowdown on at least the Intel Skylake micro-architecture.\n\nThis benchmark also illustrates that CPUID::setDenormalsAreZero() is\ncurrently unimplemented, whereas CPUID::setFlushToZero() is implemented\nonly on Windows, and sets both FTZ and DAZ behavior.\n\nBug: b/169904252\nChange-Id: I6c5c8cad2211ec4dd1dac013cea7de8343f42093\nReviewed-on: https://swiftshader-review.googlesource.com/c/SwiftShader/+/62888\nKokoro-Result: kokoro \u003cnoreply+kokoro@google.com\u003e\nTested-by: Nicolas Capens \u003cnicolascapens@google.com\u003e\nReviewed-by: Alexis Hétu \u003csugoi@google.com\u003e\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "477400207aac5eba742022a7aabfa17855f9764d",
      "old_mode": 33188,
      "old_path": "tests/SystemBenchmarks/CMakeLists.txt",
      "new_id": "97fb8d813f45bebd01583499c93023e83fd29e1e",
      "new_mode": 33188,
      "new_path": "tests/SystemBenchmarks/CMakeLists.txt"
    },
    {
      "type": "add",
      "old_id": "0000000000000000000000000000000000000000",
      "old_mode": 0,
      "old_path": "/dev/null",
      "new_id": "63bd555f114e8a6b8a517adc4d0947046d517920",
      "new_mode": 33188,
      "new_path": "tests/SystemBenchmarks/MathBenchmarks.cpp"
    }
  ]
}