level-zero
oneAPI Level Zero Specification Headers and Loader (by oneapi-src)
ginkgo
Numerical linear algebra software package (by ginkgo-project)
level-zero | ginkgo | |
---|---|---|
1 | 2 | |
181 | 375 | |
1.7% | 1.9% | |
8.0 | 9.8 | |
8 days ago | 5 days 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.
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.
level-zero
Posts with mentions or reviews of level-zero.
We have used some of these posts to build our list of alternatives
and similar projects.
-
intel arc a750 and davinci resolve studio
Does Davinci Resolve use OpenCL or Intel's OneAPI? Anyway, for both you would need to install intel-compute-runtime (provides Intel's OpenCL and OneAPI drivers). However, if you are already on Fedora 37, there is currently a dependency issue / llvm version mismatch with the package and intel-icg, so it can't be installed. For proper OneAPI support you would probably also need the level-zero-loader for your card to be detected by applications. There is currently no package on fedora that provides this. You could clone Intel's git repo though and use the build instructions to build an rpm package in the mean time.
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
-
Incorporating abidiff into CI?
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 level-zero and ginkgo you can also consider the following projects:
tbb - oneAPI Threading Building Blocks (oneTBB) [Moved to: https://github.com/oneapi-src/oneTBB]
HIP - HIP: C++ Heterogeneous-Compute Interface for Portability
oneDPL - oneAPI DPC++ Library (oneDPL) https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
oneTBB - oneAPI Threading Building Blocks (oneTBB)
arbor - The Arbor multi-compartment neural network simulation library.