We want to find out the performance of the program and integrate in the CI infrastructure. We have trying to find a way to visualise the performance of the program as precise as possible.
We treat the performance of the program as a mean of execution time (aka wall time). To do this we first make a CLI tool to visualise the wall time in a bell curve by statistics. (** TODO: we will elaborate deeper into this **).
The program will need to concat the time into a csv file. And we will calculate the confidence interval. If it is exceeding the predefined critical value, we will raise certain warnings for CI to react.
And because of running the program in a noisy environment (imagine non-dedicated CI server...), we will get a relatively big variance in the wall time data. We need to calculate the variance plus mean, and calculate the confidence interval.
- This is not a microbenchmarking libraries, if you want this, you can find something like criterion on both rust and haskell.
- This is not a haskell libraries, it is language-agnostic tool
- This is going to be a fun project.
- Graph drawing
- Profiling?
- SoMeThInG LiKe the rustc perf bot? (calculate the CPU instructions, cache misses)
- SoMeThIng lIkE the zig perf page? (visualisation instead of showing data)