Releases: JuliaLinearAlgebra/MKL.jl
Releases · JuliaLinearAlgebra/MKL.jl
v0.4.0
MKL v0.4.0
Closed issues:
- package not registered? (#13)
- Renaming BLAS name only locally? (#31)
- Where did the caveats section go? (#41)
- Installation failure with "Unable to automatically install 'IntelOpenMP'" (#42)
- Build fails with Ubuntu 20.04 (#47)
- Have a way to make MKL the BLAS for BB libraries (#48)
- Build failing on mac with Julia 1.4.2 (#49)
- Julia+MKL can't seem to multithread somehow (#51)
- MKL.jl Won't Install on JuliaPro
1.4.2-1
on Windows 10 (#52) - Fail to install MKL for Julia 1.4 or 1.5 (ERROR: ArgumentError: invalid version range: ">= 2020") (#55)
- Docker ERROR: Unable to automatically install 'IntelOpenMP' (#61)
- Move CI to gh-actions (#64)
Merged pull requests:
v0.3.0
MKL v0.3.0
Closed issues:
- Improve REPL latency (#1)
- package status/stability (#5)
- cannot launch Julia after installing MKL.jl (#6)
- Squeeze More Performance from Intel MKL (#7)
- How to use MKL Pardiso (#9)
- Julia binaries prebuilt with MKL (#10)
- Adding when MKL repository is already downloaded doesn't build automatically (#12)
- Remove suitesparse / arpack caveat? (#14)
- Cannot open libmkl_rt (#18)
- MKL shared libraries and Libdl on Mac/Linux (#19)
- [question] Where will the mkl libraries be installed? (#21)
- MKL isn't built on Windows (#24)
- Not working on Macbook (#26)
- Using new PackageCompiler (#27)
- build MKL fails (#33)
- Clean up downloads folder after installation (#34)
- Conflict with PackageCompiler (#36)
- Weird bugs in QR (#37)
- Segmentation Fault (#39)
- could not load library in building (#43)
- MLK.jl building hangs on SOME Windows 10 computers (#44)
- How to uninstall? (#53)
- using existing installed MKL to use in Julia (#54)
Merged pull requests:
- Note on Intel's MKL license (#3) (@PallHaraldsson)
- Update README.md (#8) (@aminya)
- Improve installation experience (#15) (@staticfloat)
- Change installation link to master repo (#16) (@aminya)
- Removing Caveats (#17) (@aminya)
- REPL start time fix (#20) (@daviehh)
- Tagging V0.1 (#22) (@aminya)
- Use new PackageCompiler and MKL_jll (#29) (@KristofferC)
- GitHub actions (#30) (@aminya)
- Set use_blas64 to false to fix MKL.jl interaction numpy problem (#35) (@fgerick)
- Allow failures on nightly (#56) (@andreasnoack)