hblas: Human friendly BLAS and Lapack bindings for Haskell.
User friendly, simple bindings to BLAS and Lapack. Easy to extend and use.
HBLAS assumes you have BLAS and LAPACK installed. Users on OSX already
have a BLAS and LAPACK installed for them. Users on LINUX and similar
platforms will need to do the system equivalent of
sudo apt-get install libblas liblapack.
HBLAS is not intended to be a library for end user array operations, but rather an easy adaptor for calling BLAS and LAPACK routines in their full generality from your end-user haskell linear algebra / array library of choice.
HBLAS roughly mirrors the naming conventions and datatype names of the standard BLAS and LAPACK libraries. Those of you who are familiar with these conventions and moderately comfortable with haskell will feel right at home.
If you are not familiar with the the operations and conventions of BLAS and Lapack, please read the Intel MKL BLAS and LAPACK documention, you'll learn a lot about what BLAS and LAPACK can do.
HBLAS doesn't provide every BLAS and LAPACK operation currently, but is designed so that adding support for new operations is quite easy!
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Use on platforms when libcblas isn't part of libblas
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
|Versions [RSS]||0.1.0.0, 0.2.0.0, 0.3.0.0, 0.3.0.1, 0.3.1.0, 0.3.1.1, 0.3.2.1, 0.3.2.2, 0.4.0.0, 0.4.0.1 (info)|
|Dependencies||base (>=4.6 && <4.14), primitive (>=0.5 && <0.7), storable-complex (>=0.2.0 && <0.3.0), vector (>=0.10 && <0.13) [details]|
|Author||Carter Tazio Schonwald|
|Maintainer||carter at wellposed dot com|
|Revised||Revision 1 made by CarterSchonwald at 2020-02-07T00:27:47Z|
|Source repo||head: git clone http://github.com/wellposed/hblas.git|
|Uploaded||by CarterSchonwald at 2018-01-31T21:00:00Z|
|Downloads||7134 total (47 in the last 30 days)|
|Rating||2.0 (votes: 1) [estimated by Bayesian average]|
|Status||Docs available [build log]
Last success reported on 2018-01-31 [all 1 reports]