Bug 1619061
| Summary: | sagemath: use openblas instead of atlas | ||
|---|---|---|---|
| Product: | [Fedora] Fedora | Reporter: | Dominik 'Rathann' Mierzejewski <dominik> |
| Component: | sagemath | Assignee: | Paulo Andrade <paulo.cesar.pereira.de.andrade> |
| Status: | CLOSED NEXTRELEASE | QA Contact: | Fedora Extras Quality Assurance <extras-qa> |
| Severity: | unspecified | Docs Contact: | |
| Priority: | unspecified | ||
| Version: | rawhide | CC: | loganjerry, paulo.cesar.pereira.de.andrade |
| Target Milestone: | --- | ||
| Target Release: | --- | ||
| Hardware: | Unspecified | ||
| OS: | Unspecified | ||
| Whiteboard: | |||
| Fixed In Version: | Doc Type: | If docs needed, set a value | |
| Doc Text: | Story Points: | --- | |
| Clone Of: | Environment: | ||
| Last Closed: | 2019-01-18 20:30:10 UTC | Type: | Bug |
| Regression: | --- | Mount Type: | --- |
| Documentation: | --- | CRM: | |
| Verified Versions: | Category: | --- | |
| oVirt Team: | --- | RHEL 7.3 requirements from Atomic Host: | |
| Cloudforms Team: | --- | Target Upstream Version: | |
| Embargoed: | |||
| Bug Depends On: | |||
| Bug Blocks: | 1506952 | ||
Fixed in Rawhide. |
Description of problem: Please BuildRequire: openblas instead of atlas where available (x86_64 %{ix86} armv7hl %{power64} aarch64 s390x, see %{openblas_arches} macro defined in openblas-srpm-macros package). Currently, it's available on all primary Fedora arches, so you can technically skip using the macro. Version-Release number of selected component (if applicable): sagemath-core-8.2-4.fc29 Additional information: OpenBLAS selects best code path for the target architecture at runtime unlike ATLAS. A lot of benchmarks around the net suggest openblas is faster than ATLAS in most workloads: https://github.com/tmolteno/necpp/issues/18 http://blog.nguyenvq.com/blog/2014/11/10/optimized-r-and-python-standard-blas-vs-atlas-vs-openblas-vs-mkl/ https://freddie.witherden.org/pages/blas-gemm-bench/ http://nghiaho.com/?p=1726 Many Fedora packages have switched to openblas already (e.g. scalapack and all dependent ones and numpy).