Computational species "bw filter simplified less" (CID=45741e3fbcf4024b:1db78910464c9d05)

Notes

Some cost-aware experiments (execution time, size, energy) performed by Grigori Fursin. It supports our research on code optimization and compiler benchmarking (regression detection).

Used artifacts

• Datasets:
  • D1 = image raw fgg office day gray (CID=8a7141c59cd335f5:c8848a1b1fb1775e)
  • D2 = image raw fgg office night gray (CID=8a7141c59cd335f5:0045c9b59e84318b)

• Systes:
  • S1 = Dell Latitude E6320, (CID=)
  • S2 = Samsung Galaxy Duos GT-S6312 (CID=)

• Processors:
  • P1 = Intel(R) Core(TM) i5-2540M CPU @ 2.60GHz (CID=)
  • P2 = ARM

• OSs:
  • O1 = Windows 7 Pro SP1 (CID=c4d3ce728f46eea2:10c4f7484446b689)
  • O2 = OpenSuse 12.1 (CID=)
  • O3 = Android 4.1.2, Kernel 3.4.0 (CID=)

• Compilers:
  • LLVMXYZ = LLVM X.Y.Z
  • GCCXYZ = GCC X.Y.Z
  • MGCCXYZ = MingW X.Y.Z
  • SGCCXYZ = Sourcergy GCC X.Y.Z. for ARM
  • MX = Microsoft Visual Studio compilers X
  • IX = Intel X

• Run-time kernel repetitions:
  • R1 = 4000
  • R2 = 400