oneMKL VS dpnp

Compare oneMKL vs dpnp and see what are their differences.

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oneMKL dpnp
2 1
565 91
3.7% -
8.5 9.5
10 days ago about 22 hours ago
C++ Python
Apache License 2.0 BSD 2-clause "Simplified" 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.

dpnp

Posts with mentions or reviews of dpnp. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning dpnp yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

oneDNN - oneAPI Deep Neural Network Library (oneDNN)

numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.

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

cupy - NumPy & SciPy for GPU

peakperf - Achieve peak performance on x86 CPUs and NVIDIA GPUs

sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

nekRS - our next generation fast and scalable CFD code

matchering - 🎚️ Open Source Audio Matching and Mastering

ArrayFire - ArrayFire: a general purpose GPU library.

eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends

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

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!