View source for CM:data:45741e3fbcf4024b:1db78910464c9d05

<p style="text-align: center"><span style="font-size:larger">Computational species '''"bw filter simplified less"''' ({{CREF|45741e3fbcf4024b:1db78910464c9d05}})</span></p>

== Notes<br/> ==

Some cost-aware experiments (execution time, size, energy, compilation time) performed by {{FGG}}. It supports our research on continuous performance tracking, code optimization and compiler benchmarking (regression detection).

This computation species (kernel) is a threshold filter - it is used in image processing and neuron activation functions (part of artificial neural networks).

== Used artifacts<br/> ==

*Datasets:
**D1 = grayscale image 1 ({{CREF|8a7141c59cd335f5:c8848a1b1fb1775e}}), size=1536x1536~2.4E6 (pixels or neurons)
**D2 = grayscale image 2 ({{CREF|8a7141c59cd335f5:0045c9b59e84318b}}), size=1536x1536~2.4E6 (pixels or neurons)

*Systems:
**S1 = Dell Laptop Latitude E6320, Processor=P1, Memory = 8Gb, Storage=256Gb (SSD), Max power consumption=52W, Cost (time of purchase)~1200 euros ({{CREF|cb7e6b406491a11c:0d84339816de0271}})
**S2 = Samsung Mobile Galaxy Duos GT-S6312, Processor=P2, Memory = 0.8Gb, Storage=4Gb, Battery=1300 mAh / 3.9V / up to 250 hours, Max power consumption~5W, Cost (time of purchase)~200 euros ({{CREF|cb7e6b406491a11c:a9740acbe06bcd1e}})
**S3 = Polaroid Tablet Executive 9", Processor=P3, Memory=1Gb, Storage=16Gb, Battery=3500 mAh / 3.9V / up to 80 hours, Max power consumption~13W, Cost (time of purchase)~100 euros ()

*Processors:
**P1 = Intel Core i5-2540M, 2.60GHz, 2 cores ({{CREF|54cd38490124ef51:425ae4e3483c82e8}})
**P2 = Qualcomm MSM7625A FFA, ARM Cortex A5, ARMv7, 1 GHz, 1 core ({{CREF|54cd38490124ef51:ae17889f40209ae7}})
**P3 = Allwinner A20 (sun7i), Dual-Core ARM Cortex A7, ARMv7, 1.6GHz, Mali400 GPU, 2 core ()
**P4 = NVidia Quadro NVS 135M, 16 cores, 400MHz ()
*Processor mode:
**W1 = 32 bit
**W2 = 64 bit

*OSs:
**O1 = Windows 7 Pro SP1,&nbsp; cost~170 euros ({{CREF|c4d3ce728f46eea2:10c4f7484446b689}})
**O2 = O1, MinGW32
**O2 = OpenSuse 12.1, Kernel 3.1.10, cost=free ({{CREF|c4d3ce728f46eea2:29ce89f1a1446e89}})
**O3 = Android 4.1.2, Kernel 3.4.0, cost=free ({{CREF|c4d3ce728f46eea2:e734c48d5a5824c1}})
**O4 = Android 4.2.2, Kernel 3.3.0, cost=free ()

*Compilers:
**X1 = GCC 4.1.1
**X2 = GCC 4.4.1
**X3 = GCC 4.4.4
**X4 = GCC 4.6.3
**X5 = GCC 4.7.2
**X6 = GCC 4.8.3
**X7 = GCC 4.9.1
**X8 = LLVM 3.1
**X9 = LLVM 3.3.2
**X10 = Open64 5.0
**X11 = PathScale 2.3.1
**X12 = NVidia CUDA Toolkit 5.0
**X13 = Microsoft Visual Studio 2013, cost = has free minimal version
**X14 = Intel Composer XE 2011, cost =

*Compiler optimization level:
**O1 = Performance (usually -O3)
**O2 = Size (usually -Os)
**

*Number of run-time code repetitions (for example, processing steps in neural networks):
**R1 = 4000
**R2 = 1000
**R3 = 400

*Total number of computations (processed neurons or pixels)
**T1 ~ 9.6E9
**T2 ~ 2.4E9
**T3 ~ 1.0E9

*Costs
**C1= Execution time
**C2 = Energy
**C3 = Code size
**C4 = Compilation time
**C5 = System size
**C6 = Hardware price
**C7 = Software price
**C8 = (Auto-)tuning price
**C9 = Development time
**C10 = Validation and testing time

== Notes ==
Energy: 1Wh = 3600 joules

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