array
BenchmarkDotNet
array | BenchmarkDotNet | |
---|---|---|
5 | 67 | |
189 | 10,056 | |
- | 1.2% | |
6.9 | 9.2 | |
5 months ago | 6 days ago | |
C++ | C# | |
Apache License 2.0 | MIT License |
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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.
array
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Einsum in 40 Lines of Python
I wrote a library in C++ (I know, probably a non-starter for most reading this) that I think does most of what you want, as well as some other requests in this thread (generalized to more than just multiply-add): https://github.com/dsharlet/array?tab=readme-ov-file#einstei....
A matrix multiply written with this looks like this:
enum { i = 2, j = 0, k = 1 };
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Benchmarking 20 programming languages on N-queens and matrix multiplication
I should have mentioned somewhere, I disabled threading for OpenBLAS, so it is comparing one thread to one thread. Parallelism would be easy to add, but I tend to want the thread parallelism outside code like this anyways.
As for the inner loop not being well optimized... the disassembly looks like the same basic thing as OpenBLAS. There's disassembly in the comments of that file to show what code it generates, I'd love to know what you think is lacking! The only difference between the one I linked and this is prefetching and outer loop ordering: https://github.com/dsharlet/array/blob/master/examples/linea...
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A basic introduction to NumPy's einsum
If you are looking for something like this in C++, here's my attempt at implementing it: https://github.com/dsharlet/array#einstein-reductions
It doesn't do any automatic optimization of the loops like some of the projects linked in this thread, but, it provides all the tools needed for humans to express the code in a way that a good compiler can turn it into really good code.
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:
What are some alternatives?
optimizing-the-memory-layout-of-std-tuple - Optimizing the memory layout of std::tuple
App.Metrics - App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
NumPy - The fundamental package for scientific computing with Python.
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.
cadabra2 - A field-theory motivated approach to computer algebra.
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.
alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
StyleCop - Analyzes C# source code to enforce a set of style and consistency rules.
Einsum.jl - Einstein summation notation in Julia
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
c-examples - Example C code
.NET Compiler Platform ("Roslyn") Analyzers