level-zero
oneAPI Level Zero Specification Headers and Loader (by oneapi-src)
oneDNN
oneAPI Deep Neural Network Library (oneDNN) (by oneapi-src)
| level-zero | oneDNN | |
|---|---|---|
| 1 | 5 | |
| 181 | 3,471 | |
| 1.7% | 2.0% | |
| 8.0 | 10.0 | |
| 8 days ago | 4 days ago | |
| C++ | C++ | |
| MIT License | Apache License 2.0 |
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.
oneDNN
Posts with mentions or reviews of oneDNN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
-
Blaze: A High Performance C++ Math library
If you are talking about non-small matrix multiplication in MKL, is now in opensource as a part of oneDNN. It literally has exactly the same code, as in MKL (you can see this by inspecting constants or doing high-precision benchmarks).
For small matmul there is libxsmm. It may take tremendous efforts make something faster than oneDNN and libxsmm, as jit-based approach of https://github.com/oneapi-src/oneDNN/blob/main/src/gpu/jit/g... is too flexible: if someone finds a better sequence, oneDNN can reuse it without major change of design.
But MKL is not limited to matmul, I understand it...
-
Arc & Deep Learning Frameworks
For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.
- Keeping POWER relevant in the open source world
-
Intel oneDNN 2.5 released with experimental RISC-V support
From the release note of oneDNN v2.5:
-
Is gpu hardware tied to cpu ISA ?
Intel are trying to support their oneAPI compute framework on Arm and IBM POWER and z/Architecture (s390x) but since they ever released only a single discrete GPU with the Xe architecture it's unclear whether they'll support Xe GPU compute on e.g. ARM https://github.com/oneapi-src/oneDNN