returned for Tags:"simd"
Tensor (n-dimensional array) library for F#
- 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,...
Optimized implementations of the BLAKE2b and BLAKE2s cryptographic hashing algorithms. Uses SSE2-SSE4.1 Intrinsics support on .NET Core 2.1+ and AVX2 on .NET Core 3.0
Spreads Native compression and low-level IL unsafe methods
High performance Linq-style extension methods that use System.Numerics SIMD for arrays.
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...
1,482 total downloads
SIMD enhanced Array operations for F#
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.
OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications.
This is an unofficial release of the library
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...
520 total downloads
.net Extension-methods for Yeppp
374 total downloads
A library for base64 encoding / decoding, as well as base64url support.
For .NET Core 2.1+ encoding / decoding is done with SIMD-support.
SimdJson: Parsing gigabytes of JSON per second.
C# version of Daniel Lemire's SimdJson (written in C).
SimdJson.Bindings: Parsing gigabytes of JSON per second.
C# bindings for lemire/simdjson (written in C++).
High performance Linq-style extension methods that are multithreaded and use System.Numerics SIMD for arrays and lists.
High performance, cross-platform C#/.NET algorithms. Much improved .Sum(). Sort algorithms: parallel, serial, in-place, stable, O(N) Radix LSD/MSD, Merge. Histogram, Priority Queue, Merge, Fill, Min/Max, more... Familiar interfaces.
Implementations of many hashing algorithms: for hashtables, cryptographic purpose and checksums.