Line 10: Line 10:
 
**D2 = image raw fgg office night gray ({{CREF|8a7141c59cd335f5:0045c9b59e84318b}})
 
**D2 = image raw fgg office night gray ({{CREF|8a7141c59cd335f5:0045c9b59e84318b}})
  
*Systes:
+
*Systems:
**S1 = Dell Latitude E6320, Memory = 8Gb, SSD=256Gb ({{CREF|cb7e6b406491a11c:0d84339816de0271}})
+
**S1 = Dell Latitude E6320, Memory = 8Gb, SSD=256Gb, Max power consumption=52W, Cost=800 euro ({{CREF|cb7e6b406491a11c:0d84339816de0271}})
**S2 = Samsung Galaxy Duos GT-S6312, Memory = 0.8Gb, Storage=4Gb, Battery=1300 mAh up to 250 hours ({{CREF|cb7e6b406491a11c:a9740acbe06bcd1e}})
+
**S2 = Samsung Galaxy Duos GT-S6312, Memory = 0.8Gb, Storage=4Gb, Battery=1300 mAh / 3.9V / up to 250 hours, Max power consumption~5W, Cost=120 euro ({{CREF|cb7e6b406491a11c:a9740acbe06bcd1e}})
  
 
*Processors:
 
*Processors:
Line 34: Line 34:
 
**R1 = 4000
 
**R1 = 4000
 
**R2 = 400
 
**R2 = 400
 +
 +
== Notes ==
 +
Energy: 1Wh = 3600 joules
 +
 +
W = mAh * V / 1000 = 1300 * 3.9 / 1000 ~ 5W

Revision as of 14:34, 13 August 2014

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

  • 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

Notes

Energy: 1Wh = 3600 joules

W = mAh * V / 1000 = 1300 * 3.9 / 1000 ~ 5W


(C) 2011-2014 cTuning foundation