Add intel-numpy mkl extension optimizations readme#1
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Pull request overview
Adds a new tuning guide documenting how to run NumPy with Intel® oneMKL-backed performance (BLAS/LAPACK plus optional FFT/random/umath patching), and links it from the repository’s main README so it’s discoverable alongside other software guides.
Changes:
- Add
software/numpy/README.mdwith installation, activation patterns, verification steps, and benchmark summaries for oneMKL-backed NumPy. - Update the root
README.mdtable of contents to include the new NumPy guide.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| software/numpy/README.md | New end-to-end documentation for enabling and verifying oneMKL optimizations for NumPy (including extension patching and threading/NUMA guidance). |
| README.md | Adds a table-of-contents link to the new NumPy guide under Software. |
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This PR adds the documentation for Intel Optimized NumPy (oneMKL).
This is intended for internal review before opening the main PR. Please review and add your comments.