occa VS ginkgo

Compare occa vs ginkgo and see what are their differences.

occa

Portable and vendor neutral framework for parallel programming on heterogeneous platforms. (by libocca)
HPC GPU JIT Opencl Cuda Openmp Multithreading Hip Gpgpu Metal Fortran CPP C Sycl Dpcpp Oneapi
Source Code
libocca.org
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ginkgo

Numerical linear algebra software package (by ginkgo-project)
Linear Algebra HPC gpu-computing Cuda krylov-methods preconditioning sparse-linear-systems spmv Hip Oneapi Dpcpp Openmp
Source Code
ginkgo-project.github.io
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occa ginkgo
1 2
379 376
0.0% 2.1%
7.6 9.8
5 days ago 1 day ago
C++ C++
MIT License BSD 3-clause "New" or "Revised" 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.

occa

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

ginkgo

Posts with mentions or reviews of ginkgo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.
  • AMD HIP + Cuda in same program
    3 projects | /r/CUDA | 26 Aug 2022
  • Incorporating abidiff into CI?
    1 project | /r/cpp | 28 Nov 2021
    I had exactly the same thought after watching the video (though I wanted to do this for a while anyways) and did exactly that :) I found it interesting to see how different changes impact the ABI of our library, even though we don't promise ABI compatibility or anything. We add the head of the diff part to a PR comment, and store everything else as a build artifact. See the corresponding PR here: https://github.com/ginkgo-project/ginkgo/pull/922

What are some alternatives?

When comparing occa and ginkgo you can also consider the following projects:

gtensor - GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development.

HIP - HIP: C++ Heterogeneous-Compute Interface for Portability

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

arbor - The Arbor multi-compartment neural network simulation library.

MatX - An efficient C++17 GPU numerical computing library with Python-like syntax

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

Halide - a language for fast, portable data-parallel computation

tensorForth - Forth does tensors, in CUDA.

dftfe - DFT-FE: Real-space DFT calculations using Finite Elements

level-zero - oneAPI Level Zero Specification Headers and Loader

occa vs gtensor ginkgo vs HIP ginkgo vs alpaka ginkgo vs arbor ginkgo vs MatX ginkgo vs stdgpu ginkgo vs AdaptiveCpp ginkgo vs Halide ginkgo vs tensorForth ginkgo vs dftfe ginkgo vs level-zero