24 packages returned for Tags:"SIMD"

A library for base64 encoding / decoding, as well as base64url support. For .NET Core 3.0 onwards encoding / decoding is done with SIMD-support.

Blake3.NET is a managed wrapper around the Rust implementations of the BLAKE3 cryptographic hash function.

Tensor (n-dimensional array) library for F# Core features: - n-dimensional arrays (tensors) in host memory or on CUDA GPUs - element-wise operations (addition, multiplication, absolute value, etc.) - basic linear algebra operations (dot product, SVD decomposition,... More information

Optimized implementations of the BLAKE2b and BLAKE2s cryptographic hashing algorithms. Uses SSE2-SSE4.1 Hardware Intrinsics support on .NET Core 2.1+ and AVX2 on .NET Core 3+

A .NET library for reading and writing delimited CSV data.

High performance Linq-style extension methods that use System.Numerics SIMD for arrays.

High performance packages used by X86-SIMD

A multi-purpose expansion library providing commonly used utilities and implementations.

SIMD enhanced Array operations for F#

Spreads low-level IL unsafe methods

Spreads Native methods

Implementations of many hashing algorithms: for hashtables, cryptographic purpose and checksums.

Easy to use SIMD accelerated span and array methods

SimdJson: Parsing gigabytes of JSON per second. C# version of Daniel Lemire's SimdJson (written in C).

High performance Linq-style extension methods that are multithreaded and use System.Numerics SIMD for arrays and lists.

Parallel high performance cross-platform C#/.NET algorithms. 28+ algorithms with familiar interfaces and examples. Multi-core and data parallel (SIMD/SSE). Open source and free. See project Readme, blog and videos...

C# implementation of AES-GCM-SIV nonce misuse-resistant authenticated encryption. Fastest available authenticated encryption library for .NET Core, with the encryption/decryption rate of roughly 8 Gbps/core. Implemented using .NET Core 3.0 platform intrinsics.

SimdJson.Bindings: Parsing gigabytes of JSON per second. C# bindings for lemire/simdjson (written in C++).

Powerful MatrixDotNet library for matrix calculation With all answers see documentation or ask on gitter or github issues

Provides SIMD-accelerated operations (create, init, map, ...) on native arrays provided by the NativeInterop package Note for F# Users: The System.Numerics.Vectors package doesn't work out of the box for F# projects. Make sure to MANUALLY ADD... More information