World's Fastest .NET CSV Parser. Modern, minimal, fast, zero allocation, reading and writing of separated values (`csv`, `tsv` etc.). Cross-platform, trimmable and AOT/NativeAOT compatible.

High performance LINQ implementation with minimal heap allocations. Supports enumerables, async enumerables, arrays and Span<T>.

Linq-like extension functions for Arrays, Span<T>, and List<T> that are faster and allocate less.

C# bindings for lemire/simdjson (and full C# port)

1BRC in .NET among fastest on Linux

Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support

High performance algorithms in C#: SIMD/SSE, multi-core and faster

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

A supplementary SIMD math library to Unity.Mathematics, extending it to all C# numeric types while adding many new types and functions. Written entirely with hardware intrinsics, using Unity.Burst.

The SIMD-accelereted ray tracing in C# powered by Intel hardware intrinsic of .NET Core.

Faster.Map is a high-performance, thread-safe hashmap designed to outperform the standard Dictionary and ConcurrentDictionary

Easy to use SIMD accelerated Array and Span methods

A collection of SIMD (AVX2 & AVX512) accelerated mathematical functions for .NET

Base64 encoding / decoding with SIMD-support, also base64Url

This project aims to rename all C# intrinsic names to their more compact C/C++ counterparts that the industry uses.

High performance SIMD operations in c#

A LINQ-like extensions for C# that uses SIMD extensions to parallelize the operations

Taking the new `System.Runtime.Intrinsics` namespace for a spin

Leorik is a strong, open-source UCI chess engine written in C#