parallel-kd-tree
Parallel k-d tree with C++17, MPI and OpenMP (by fandreuz)
oneDNN
oneAPI Deep Neural Network Library (oneDNN) (by oneapi-src)
| parallel-kd-tree | oneDNN | |
|---|---|---|
| 1 | 5 | |
| 21 | 3,461 | |
| - | 1.7% | |
| 0.0 | 10.0 | |
| about 2 years ago | 2 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.
parallel-kd-tree
Posts with mentions or reviews of parallel-kd-tree.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-06.
-
My first non-trivial project in C++ and MPI/OpenMP
Source code: https://github.com/fAndreuzzi/parallel-kd-tree
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