| These are some quick and dirty tools for measuring the performance impact |
| of a change to llgo by sampling the results of running the libgo benchmark |
| suite. They can be used to calculate the geo-mean and 95% confidence interval |
| using the Student's t-test. The benchcomp program massages the output of the |
| Go benchmark tools into a form that can be read by the R program analyze.R |
| which runs the statistics. |
| |
| To use, clpatch this into gofrontend: |
| https://codereview.appspot.com/103550047/ |
| |
| then run: |
| |
| make |
| make -C workdir/gofrontend_build/libgo-stage1 bench 2>&1 | tee before.out |
| # make changes |
| make |
| make -C workdir/gofrontend_build/libgo-stage1 bench 2>&1 | tee after.out |
| utils/benchcomp/benchcomp benchns before.out after.out | R -f utils/benchcomp/analyze.R |
| |
| The results should be displayed on stdout. |
