BenchmarkDotNet VS aoc2021

The name of the library is BenchmarkDotNet and the documentation can be found here. The only thing you have to do is:

Benchmarking Tool: Uses BenchmarkDotNet for accurate and repeatable measurements.

Through Professional tools like Visual studio Performance tool BenchmarkDotNet DotTrace Profiler by Rider, Dynatrace Datadog

BenchmarkDotNet helps you measure performance with ease.

The benchmark test was conducted using the BenchmarkDotNet library in C#. The classes tested include:

Let’s look at the first example you see, when you open up BenchmarkDotnet’s website, or Github page.

Or use BenchmarkDotNet which, among other things to get an accurate benchmark, does JIT warmup outside of measurement.

( https://github.com/dotnet/BenchmarkDotNet ).

You can also do proper statistically correct benchmarking by using - https://github.com/dotnet/BenchmarkDotNet. This will run warmup the jit, gauge the overheads, and run your function many times to give you proper data.

take a look at: https://benchmarkdotnet.org/

To be fair, compared to other years, only Elixir (last year) was more frustrating to learn than Rust (such that it does look like the picture above, due to many prototypes and all visualisation code being written in Python). I used Kotlin in 2020 and did Go for 2018 (though I didn't participate in that one live). I'm using C# this year, and all of these were simple enough that I didn't need to spend more time learning how to do things than actually doing them.

Plus Python visualisation

Python only today.

Elixir

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Elixir, Python 1708/791

Elixir, 167 ms on Part 2.

Elixir 934/972 ; 5ms/100ms

Source