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)