22 packages returned for Tags:"SIMD"

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

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

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+

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

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

SIMD enhanced Array operations for F#

High performance packages used by X86-SIMD

Spreads Native compression and low-level IL unsafe methods

Parallel high performance cross-platform C#/.NET algorithms. 20+ algorithms with familiar interfaces and examples. Multi-core and data parallel (SIMD/SSE). Open source and free. See project Readme, blog and videos...

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

.net Extension-methods for Yeppp

Easy to use SIMD accelerated span and array methods

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.

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

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

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

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

SIMD-accelerated generic tensor library

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

Yeppp! is a multi-platform high-performance SIMD-optimized mathematical library. Yeppp! provides optimized operations on vectors, such as vector addition, dot product, sum of absolute values, or exponential of vector elements. This is a multi-platform CLR bundle which internally contains... More information