Mandatory ndarray/blas feature ?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start by tracing how ndarray-linalg declares and enables ndarray's blas feature, then check the feature configuration and dependency behavior involved. Compare the current mandatory setup with the requested option to use ndarray's default matrix-multiplication backend while retaining LAPACK support; done means the choice is no longer mandatory and the relevant behavior is verified.
Written by the indexing model from the issue text.
Description
ndarray-linalg unconditionally enables the blas feature of ndarray. AFAICT, this feature only changes performance of ndarray matrix multiplication, hence it should not be mandatory to get ndarray-linalg running, right ?
There are some use-cases where, despite depending on LAPACK (hence having a BLAS implementation available), one could prefer to not use it for ndarray matrix multiplication. A simple example of this is when the BLAS implementation is slower than the default matrixmultiply backend of ndarray. (My use-case is that my LAPACK/BLAS library is not thread-safe, hence I have to lock around ndarray-linalg operations, but I don't want to take that lock for all matrix multiplications.)
- Dominant language
- Rust
- Stars
- 452
- Forks
- 95
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
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