A linear algebra library package for the Parrot Virtual Machine
The goals of the Parrot-Linear-Algebra (PLA) project are to develop a good, high-performance linear algebra toolset for use with the Parrot Virtual Machine and programs which run on top of Parrot. In pursuit of these goals, high-performance PMC matrix types will be developed, along with interfaces to the BLAS and LAPACK libraries for high-performance operations.
In addition to these core goals, PLA may also provide a series of ancillary tools that are similar in implementation or purpose to its core utilities.
PLA is being actively developed. It has core PMC types that build, a build and installation system, and a growing test suite. PLA currently provides these PMC types:
A 2-D matrix containing floating point values.
A 2-D matrix containing PMC pointers
A 2-D matrix containing Complex values, optimized to store complex values directly instead of using an array of Parrot's Complex PMC type.
A 2-D character matrix that doubles as an array of strings with fixed-row-length storage.
PLA does not yet offer matrix or tensor types with more than two dimensions. It might never offer higher-dimensional types because BLAS and LAPACK do not use them.
PLA has several dependencies. To help manage dependencies, you may want to install Plumage.
This is not a dependency, just a convenience. Plumage may be installed with Parrot automatically.
Each PLA release will target different versions of the various dependencies. See the file RELEASES for information about individual releases and their dependencies.
Here are a list of dependencies for PLA:
Parrot (3.0 or higher)
PLA is an extension for Parrot and requires Parrot to build and run.
PLA may provide specific release packages targetting specific versions or version ranges of Parrot. The development version of PLA will always try to build against the current development version of Parrot.
PLA expects Parrot to be built and installed on your system. It is not intended to run against a development repository.
BLAS, CBLAS or ATLAS
PLA depends on either BLAS, CBLAS or ATLAS. The BLAS library is written in Fortran, CBLAS is a translation of BLAS to the C language. Unfortunately there is not a good, standard way of translating the Fortran source to C API bindings, so not all libraries that provide a C API for BLAS will have an interface compatible with PLA. We are working to be more accepting of small differences in various interfaces, but this work is moving slowly.
PLA should be able to use BLAS, CBLAS and ATLAS, depending on variations in OS, packaging and installation paths. You may need to modify the search logic in
setup.nqpto find the library on your system.
To get the ATLAS library on an Ubuntu or Debian-based system you can use this command:
sudo apt-get install libatlas3-base sudo apt-get install libatlas-base-dev
On Fedora you can type:
sudo yum install atlas-devel
Notice that the default vesions of the atlas library are only generally optimized. If you are able, try to use a platform-specific variant (such as "-sse2" or "-3dnow") for better performance. See the ATLAS homepage for more information:
Other versions of BLAS and CBLAS can be installed in other ways.
LAPACK is a library of linear algebra routines which rely heavily on the local BLAS implementation. For more information about LAPACK, see the project homepage at:
LAPACK bindings are currently in development, and are not required to build or run PLA.
Rosella is a collection of libraries for Parrot. Rosella is used to implement the unit test suite and test harness for PLA, and is used for some additional features. Install Rosella if you want to run the unit tests or build the additional features.
Currently, PLA is only tested to build and work on Linux and other Unix-like systems with all the aforementioned prerequisites. The setup process pulls configuration information from your installed version of Parrot, so it will attempt to use the same compiler with the same compilation options as Parrot was compiled with. If another compiler absolutely needs to be used, there may be a way to specify that, but no documentation about the process exists.
To get, build, test, and install Parrot-Linear-Algebra, follow these steps (on Linux) once all the prerequisites have been prepared:
git clone git://github.com/Whiteknight/parrot-linear-algebra.git pla cd pla parrot-nqp setup.nqp build parrot-nqp setup.nqp test parrot-nqp setup.nqp install
Testing only works if you have Rosella installed on your system. To install, you may need root privileges on your system. There is currently no known way to build or deploy PLA on Windows.
+ / + dynext/ : Location for generated libraries + examples/ : Example programs in various languages + ports/ : Generated information about porting + src/ : Source code + include/ : Include files + lib/ : Library files + pmc/ : PMC definition files + nqp/ : The NQP bootstrapper + rakudo/ : Wrapper files for use in Rakudo Perl 6 + t/ : Tests + methods/ : Tests for methods + pmc/ : Tests for various PMC types + testlib/ : Common test library
Original versions were developed as part of the Matrixy project by Blairuk. Some parts of the test suite were provided by Austin Hastings. See the file CREDITS for updated information about contributors.