oneMKL VS RandN

Compare oneMKL vs RandN and see what are their differences.

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oneMKL RandN
2 2
567 58
1.6% -
8.5 5.4
3 days ago 10 months ago
C++ C#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

oneMKL

Posts with mentions or reviews of oneMKL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-21.

RandN

Posts with mentions or reviews of RandN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-09.

What are some alternatives?

When comparing oneMKL and RandN you can also consider the following projects:

oneDNN - oneAPI Deep Neural Network Library (oneDNN)

IsExternalInit - A source code only package which allows you to use C# 9's init and record features in older target frameworks like .NET Standard 2.0 or the "old" .NET Framework by providing a polyfill for the IsExternalInit class.

kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

PolySharp - PolySharp provides generated, source-only polyfills for C# language features, to easily use all runtime-agnostic features downlevel. Add a reference, set your C# version to latest and have fun! 🚀

peakperf - Achieve peak performance on x86 CPUs and NVIDIA GPUs

nekRS - our next generation fast and scalable CFD code

ArrayFire - ArrayFire: a general purpose GPU library.

monolish - monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

LSQR-CUDA - This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects

dpnp - Data Parallel Extension for NumPy