tensorForth VS ginkgo

Compare tensorForth vs ginkgo and see what are their differences.

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tensorForth ginkgo
1 2
21 376
- 2.1%
9.5 9.8
about 1 month 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.

tensorForth

Posts with mentions or reviews of tensorForth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-09.

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 tensorForth and ginkgo you can also consider the following projects:

peforth - A programmable Python debugger using FORTH syntax

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

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

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

cuml - cuML - RAPIDS Machine Learning Library

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