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.