A vector and matrix library written in C# using hardware intrinsics
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Updated
Oct 4, 2022 - C#
A vector and matrix library written in C# using hardware intrinsics
Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support
High-performance C# Data Structures library (Grid2D, BitArray, RingBuffer, EnumSet) optimized for memory and CPU cache locality. Available on NuGet & OpenUPM.
BLAKE3 cryptographic hash for .NET - pure managed C#, SIMD accelerated (AVX2, SSE, ARM NEON), multithreaded, no native dependencies. Faster than SHA-256 and MD5.
C# utilities for bitfields, high performance Int256/UInt256, Option/Result returns, big-endian types
An experimental project built for testing and research purposes. (Created: 2026-01-22)
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