cblas-sys
Bindings to CBLAS (C) (by blas-lapack-rs)
matrixmultiply_mt
A Multithreaded, processor specialized, fork of the matrixmultiply crate (by millardjn)
Our great sponsors
| cblas-sys | matrixmultiply_mt | |
|---|---|---|
| 1 | 1 | |
| 4 | 5 | |
| - | - | |
| 10.0 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| Rust | Rust | |
| GNU General Public License v3.0 or later | 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.
cblas-sys
Posts with mentions or reviews of cblas-sys.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-27.
-
Faster `matrixmultiply` ?
I've switched to just using the AMD BLIS library, and linking through cblas-sys. One day I would like to rewrite a matmul and convolution library with packed-simd-2 or portable-simd when they and const generics are finished.
matrixmultiply_mt
Posts with mentions or reviews of matrixmultiply_mt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-27.
-
Faster `matrixmultiply` ?
I forked into matrixmultiply_mt to improve performance and add multithreading. However, I cant recommend it as the original library has added a few extra kernels and layout optimizations and I recently found that the autovectorisation had broken in newer rustc versions so it is now slower than the original.
What are some alternatives?
When comparing cblas-sys and matrixmultiply_mt you can also consider the following projects:
matrixmultiply - General matrix multiplication of f32 and f64 matrices in Rust. Supports matrices with general strides.