Comments (4)
DigitalInBlue
commented on September 28, 2024
At a glance, you seem to be using valid code, though I haven't tried to compile it myself. I suggest checking out the develop branch. There are a number of improvements there. The syntax for what you are doing will be slightly different. In the new (1.x) version of the code, you implement a virtual "getExperimentValues" function in your fixture which will return a std::vector<int64_t>. Look at the example found at: https://github.com/DigitalInBlue/Celero/blob/develop/examples/DemoSort.cpp
I ran the DemoSort code locally and hand-verified the output. It seems to be working properly.
[==========]
[ CELERO ]
[==========]
[ STATUS ] Timer resolution: 0.069841 µs
[==========]
[ STAGE ] Baselining
[==========]
[ RUN ] BubbleSort @ 2 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 0.004795 sec. [1.500889e-008 µs/call] [6662717.543043 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 259.787201, V: 67489.389655, K: 2.346694]
[ RUN ] BubbleSort @ 4 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 0.023412 sec. [5.509778e-008 µs/call] [1814955.000634 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 1259.234863, V: 1585672.441379, K: 0.682062]
[ RUN ] BubbleSort @ 8 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 0.102721 sec. [2.543689e-007 µs/call] [393129.787760 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 928.599628, V: 862297.268966, K: 2.080405]
[ RUN ] BubbleSort @ 16 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 0.357376 sec. [3.234978e-007 µs/call] [309121.095015 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 40968.705351, V: 1678434818.143678, K: -0.921962]
[ RUN ] BubbleSort @ 32 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 0.817626 sec. [1.386440e-006 µs/call] [72127.165475 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 17483.248691, V: 305663984.781609, K: -0.994306]
[ RUN ] BubbleSort @ 64 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.BubbleSort 2.402454 sec. [5.205494e-006 µs/call] [19210.472648 calls/sec]
[ BASELINE ] DemoSort.BubbleSort 1.000000 [SD: 14299.253075, V: 204468638.516092, K: 6.668868]
[==========]
[ STAGE ] Benchmarking
[==========]
[ RUN ] SelectionSort @ 2 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 0.002610 sec. [8.066668e-009 µs/call] [12396692.640693 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.537459 [SD: 195.196052, V: 38101.498851, K: 8.785074]
[ RUN ] SelectionSort @ 4 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 0.008260 sec. [1.755111e-008 µs/call] [5697644.249901 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.318545 [SD: 251.561672, V: 63283.274713, K: 8.190085]
[ RUN ] SelectionSort @ 8 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 0.033542 sec. [7.440890e-008 µs/call] [1343925.286277 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.292524 [SD: 772.468389, V: 596707.412644, K: 2.050899]
[ RUN ] SelectionSort @ 16 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 0.119642 sec. [2.813067e-007 µs/call] [355483.886985 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.869578 [SD: 446.775338, V: 199608.202299, K: 0.016811]
[ RUN ] SelectionSort @ 32 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 0.397245 sec. [9.048846e-007 µs/call] [110511.334254 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.652668 [SD: 3526.746776, V: 12437942.822989, K: 11.845837]
[ RUN ] SelectionSort @ 64 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.SelectionSort 1.382172 sec. [3.158174e-006 µs/call] [31663.869189 calls/sec]
[ BASELINE ] DemoSort.SelectionSort 0.606700 [SD: 12906.186694, V: 166569654.975862, K: -0.718513]
[ RUN ] stdSort @ 2 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.002456 sec. [7.040001e-009 µs/call] [14204543.650794 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.469055 [SD: 648.811536, V: 420956.409195, K: 22.786177]
[ RUN ] stdSort @ 4 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.006011 sec. [9.973335e-009 µs/call] [10026736.694678 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.181012 [SD: 466.837371, V: 217937.131034, K: 0.550992]
[ RUN ] stdSort @ 8 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.011649 sec. [1.779556e-008 µs/call] [5619379.905808 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.069960 [SD: 235.045951, V: 55246.598851, K: 6.762926]
[ RUN ] stdSort @ 16 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.022655 sec. [3.510223e-008 µs/call] [2848822.124950 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.108508 [SD: 563.976485, V: 318069.475862, K: 15.379154]
[ RUN ] stdSort @ 32 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.041637 sec. [6.174667e-008 µs/call] [1619520.416243 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.044536 [SD: 250.547089, V: 62773.843678, K: 2.082207]
[ RUN ] stdSort @ 64 [30 samples of 10000 calls each.]
[ DONE ] DemoSort.stdSort 0.109057 sec. [2.042089e-007 µs/call] [489694.585998 calls/sec]
[ BASELINE ] DemoSort.stdSort 0.039229 [SD: 1425.082819, V: 2030861.040230, K: -0.751516]
[==========]
[ STAGE ]
[==========]
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danielsaad
commented on September 28, 2024
Develop branch works perfectly :)
from celero.
DigitalInBlue
commented on September 28, 2024
Great! What compiler, os, and configuration are you using? (Just nice to know where it is being used and tested.)
from celero.
danielsaad
commented on September 28, 2024
C++11 based code.
g++ 4.8
CFLAGS_BENCHMARK= -std=c++0x -march=native -mpopcnt -O2 -Wall -finline-functions
Ubuntu 14.04 LTS 64-bits
Intel® Core™ i5 CPU M 450 @ 2.40GHz × 4
Memory: 3,7GiB RAM
from celero.
Related Issues (20)
- Multiple warnings during compilation via Microsoft Visual Studio HOT 1
- Compiler errors with aggressive warnings enabled
- error: loop variable 'udm' of type 'const std::__1::shared_ptr<celero::UserDefinedMeasurement>' creates a copy from type 'const std::__1::shared_ptr<celero::UserDefinedMeasurement>' HOT 1
- Documentation link not present in README HOT 1
- Samples and iterations are only computed for first size of problem space (division by zero)
- UDM Fields are not printed properly
- Add User Defined Measurements to output files HOT 1
- Test executable fails: No Baseline case defined for "". Exiting.*** Error code 1 HOT 1
- ARCHIVE_OUTPUT_NAME always has ".dll" even for static builds
- Support vcpkg --triplet x64-windows-static-md
- celero 2.8.0 OSX test build failure HOT 3
- Tests terminate with Signal 11 HOT 4
- Truncation of group and experiment names in standard output HOT 1
- Problems with building / packaging celero HOT 5
- Passing invalid group name in the command line segfaults HOT 1
- [2.8.4 regression] c++: error: no such file or directory: '/wd4251' HOT 1
- Memory Measurement on macOS HOT 3
- Add User-Defined String field to Result Table CSV HOT 3
- Celero/experiments/ExperimentCompressBools has a bad cast HOT 2
- CMAKE_<BUILD_TYPE>_POSTFIX spills into consuming project HOT 1
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