returned for Tags:"simd"
F# Tensor (multidimensional array) library with SIMD and GPU acceleration
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,...
Yeppp! library (multi-platform CLR bundle)
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...
372 total downloads
.net Extension-methods for Yeppp
860 total downloads
SIMD enhanced Array operations for F#
Unofficial OpenGL Mathematics
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
NativeInterop SIMD Extensions
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...
High performance Linq-style extension methods that are multithreaded and use System.Numerics SIMD for arrays and lists.
High performance Linq-style extension methods that use System.Numerics SIMD for arrays and lists.
Optimized implementations of the BLAKE2b and BLAKE2s hashing algorithms. Uses SSE2-SSE4.1 Intrinsics support on .NET Core 2.1
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.
74 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.
Implementations of many hashing algorithms: for hashtables, cryptographic purpose and checksums.