BenchmarkDotNet
advent-of-code
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BenchmarkDotNet | advent-of-code | |
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67 | 23 | |
10,019 | 20 | |
1.5% | - | |
9.3 | 9.1 | |
1 day ago | 4 months ago | |
C# | Rust | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
BenchmarkDotNet
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Stop Guessing, Start Measuring: Transform Your Code with BenchmarkDotnet!
Let’s look at the first example you see, when you open up BenchmarkDotnet’s website, or Github page.
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Benchmarking 20 programming languages on N-queens and matrix multiplication
Or use BenchmarkDotNet which, among other things to get an accurate benchmark, does JIT warmup outside of measurement.
( https://github.com/dotnet/BenchmarkDotNet ).
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How to improve C# performance on matrix multiplication example?
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.
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C# Memory Profiler on VSCode
take a look at: https://benchmarkdotnet.org/
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standard events vs MVVM Reference Messenger
Yes, weak references are slower than direct calls. How much slower? Heck if I know offhand. But it's usually pretty easy to set up something with Benchmark .NET and find out if it hurts your use case.
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Mechanisms and Performance when querying data to SQLServer from C#
For this purpose we are going to use our beloved BenchmarkDotNet tool.
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Object Mapping in .NET
To quantify and compare the performance of the object mapping strategies discussed earlier, we can employ BenchmarkDotNet.
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Exploring Code Performance Testing in C# with BenchmarkDotNet
BenchmarkDotNet is a popular open-source library that, as stated in the repo's README.md, helps us to transform methods into benchmarks, track their performance, and share reproducible measurement experiments. Using BenchmarkDotNet feels similar to writing unit tests. It's very important to note that the library only works with console apps. Finally, we can visualize the results in the terminal where the benchmark ran or in user-friendly formats such as markdown, HTML and CSV. We will explore examples of there formats later in the article.
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Is it okay to lock on a StringBuilder, on which StringBuilrer I perform some operations on?
However, obviously this prevents parallelism within the lock, so this only makes sense if you do some other expensive operation in the parallel loop and the string builder is only a small part of it. Performance wise, it may be better to concatenate the results together after the parallel operation, instead of locking inside the loop. You'll have to benchmark it to know for sure.
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Iterator Benchmarks That Shocked With Unexpected Results!
We’re of course going to be using BenchmarkDotNet for our benchmarks, and you can find all of the code for these over at GitHub. To start, we need an entry point hook for our single Benchmark class that will be defining the permutations of scenarios that we’d like to run. This will be relatively basic as follows:
advent-of-code
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Day 18 (Advent of Code 2022), porting C++ solution to Rust, by fasterthanlime
I just did simple BFS on the lava cubes for part 1. For part 2, I just did a BFS on the bounding cube. Total runtime - 500 micro seconds for both parts on my 8 years old laptop: https://github.com/SvetlinZarev/advent-of-code/blob/main/2022/aoc-day-18/src/lib.rs
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[2022 Day 16 (Part 1)][TypeScript] Can someone explain the general logic?
My solution is pretty simple - top down DP. On each step we can do only one of two things: * open a valve and stay in current position * do not open a vale, but move to a different positions
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-🎄- 2022 Day 12 Solutions -🎄-
🦀🦀🦀 RUST 🦀🦀🦀
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[2022 Day 4] Rust – Looking for advice on idiomatic parsing
You can see it in action here: https://github.com/SvetlinZarev/advent-of-code/blob/main/2022/aoc-day-04/src/lib.rs
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-🎄- 2022 Day 1 Solutions -🎄-
Rust
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[2021 day 6] What's you're fastest solution?
Here are the results of my benchmarks, which you can also run
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Optimal algo for 2021 Day 19?
You can calculate the distances between the points found by each scanner. If two scanners report points with the same distance between them, then most probably they are adjacent. Runs in 4ms on my machine: https://github.com/SvetlinZarev/advent-of-code/tree/main/2021/aoc-day-19
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go-faster/ch: fastest ClickHouse client, faster than Rust and C++
You can copy the release profile from here https://github.com/SvetlinZarev/advent-of-code/blob/main/2021/aoc-day-25/Cargo.toml#L8 and copy that directory to enable compilation for the machine's cpu https://github.com/SvetlinZarev/advent-of-code/tree/main/2021/aoc-day-25/.cargo
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[2021][RUST] My solutions for AoC 2021 in Rust
I want to share my repo for whoever is interested. It contains Rust solutions for:
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No clue how other people are hitting <200ms on Day 23 (C++)
Mine (rust)runs for 50ms for both parts. I've used just a regular bruteforce approach, so nothing fancy. There are several things I did that reduced the execution time:
What are some alternatives?
App.Metrics - App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
opencv-playground
CodeMaid - CodeMaid is an open source Visual Studio extension to cleanup and simplify our C#, C++, F#, VB, PHP, PowerShell, JSON, XAML, XML, ASP, HTML, CSS, LESS, SCSS, JavaScript and TypeScript coding.
AdventOfCode - My Advent of Code solutions. I also upload videos of my solves: https://www.youtube.com/channel/UCuWLIm0l4sDpEe28t41WITA
Metrics-Net - The Metrics.NET library provides a way of instrumenting applications with custom metrics (timers, histograms, counters etc) that can be reported in various ways and can provide insights on what is happening inside a running application.
perlweeklychallenge-club - Knowledge base for The Weekly Challenge club members using Perl, Raku, Ada, APL, Awk, Bash, BASIC, Bc, Befunge-93, Bourne Shell, BQN, Brainfuck, C3, C, CESIL, C++, C#, Clojure, COBOL, Coconut, Crystal, D, Dart, Dc, Elm, Emacs Lisp, Erlang, Excel VBA, Fennel, Fish, Forth, Fortran, Gembase, GNAT, Go, Haskell, Haxe, HTML, Idris, IO, J, Janet, Java, JavaScript, Julia, Kotlin, Lisp, Lua, M4, Miranda, Modula 3, MMIX, Mumps, Myrddin, Nim, Nix, Node.js, Nuweb, OCaml, Odin, Ook, Pascal, PHP, Python, Postscript, Prolog, R, Ring, Ruby, Rust, Scala, Scheme, Sed, Smalltalk, SQL, Swift, Tcl, TypeScript, Visual BASIC, WebAssembly, Wolfram, XSLT and Zig.
StyleCop - Analyzes C# source code to enforce a set of style and consistency rules.
advent-of-code-2021 - AoC this year exclusively with Ruby
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
aoc_kotlin - Advent of code solutions in Kotlin
.NET Compiler Platform ("Roslyn") Analyzers
AlgorithmProblems - Solutions to Algorithm Problems :chart_with_upwards_trend: :neckbeard: