Monthly Downloads: 14
Programming language: C++
License: BSD 3-clause "New" or "Revised" License
Tags: Math    
Latest version: v0.4.0.1

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About hblas

hblas is an open source component of the Wellposed® mathematical software suite.

Members of the numerical haskell open source community can be found on irc at #numerical-haskell on freenode, and via the numericalhaskell mailing list.

Build Status

hblas is a self contained full (well, not quite yet) BLAS and LAPACK binding that provides the full BLAS and LAPACKE APIs in a simple, unopinionated, Haskell wrapper.

This library is NOT meant to be used by end users, it is designed to be an unopinionated, simple, portable, easy to install BLAS/LAPACK substrate for higher level numerical computing libraries to build upon. Morever, this library is strictly a wrapper, and simply makes using the functionality of BLAS and LAPACK more accessible.

This library is NOT meant to be used a standalone array library (except in desperation), but rather should be used by a higher level numerical array library to provide high performance linear algebra routines.


By default, hblas will assume you have BLAS and LAPACK built and installed.


On OS X systems, things will just work.

$ cabal install


On linux and bsd systems, you will need to manually install the BLAS and LAPACK libraries beforehand.

$ sudo apt-get install libblas liblapack
$ cabal install


To run the test suite execute:

$ cabal test


If you get an error like undefined reference to 'cblas_sdsdot' when building or running an HBLAS program, you might be on a system that builds BLAS and CBLAS separately, such as Arch Linux.

In which case, be sure to install CBLAS and invoke cabal install hblas -fCBLAS to make sure hblas links to CBLAS properly.


API is subject to change.

import Foreign.Storable
import Numerical.HBLAS.BLAS
import Numerical.HBLAS.MatrixTypes

-- Generate the constant mutable square matrix of the given type and dimensions.
constMatrix :: Storable a => Int -> a -> IO (IODenseMatrix Row a)
constMatrix n k = generateMutableDenseMatrix SRow (n,n) (const k)

example_dgemm :: IO ()
example_dgemm = do
    left  <- constMatrix 2 (2 :: Double)
    right <- constMatrix 2 (3 :: Double)
    out   <- constMatrix 2 (0 :: Double)

    dgemm NoTranspose NoTranspose 1.0 1.0 left right out

    resulting <- mutableVectorToList $ _bufferDenMutMat out
    print resulting

Getting Involved

Patches, bug reports, tests, and other contributions welcome.

If you want to add a new routine, check out the ones listed in the lapack section of the Intel MKL manual to get some human readable documentation.

Commercial Support

I have > 32bit size arrays, help!

Congrats, you have ``big compute on big data'', contact Carter and we'll try to help you out.