Proposals:Sparse Linear Solvers: Difference between revisions

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== Eigen ==
== Eigen ==


* License: LGPL
* License: LGPL v3 headers only (The authors [http://eigen.tuxfamily.org/index.php?title=Licensing_FAQ#Using_Eigen_in_BSD-licensed_software claim] it is compatible with BSD software)
* Home: http://eigen.tuxfamily.org/index.php?title=Main_Page
* Home: http://eigen.tuxfamily.org/index.php?title=Main_Page
* Cdash dashboard [http://eigen.tuxfamily.org/CDash/index.php here]
* Support for both sparse and dense matrices and algorithms


== MUMPS ==
== MUMPS ==

Revision as of 08:34, 2 March 2010

The Problem

ITK requires functionalities for solving large sparse linear systems.

The current solution obtained though VXL must be replaced because it relies internally on code whose Copyright is held by ACM, and is subject to a license that precludes commercial use.

Previous Review

Tom Vercauteren previously gathered the following list of options.

ITK_Release_4.0#3rd_Party_Libraries


Options

Comparative Table

Name License Size Support Sparse Language Coverage Valgrind CMakeified
SuiteSparse LGPL / GPL Unknown Unknown
TAUCS MIT C Unknown Unknown
SuperLU BSD Unknown Unknown
Eigen LGPL v3 (headers only) C++ Unknown Unknown Yes
Boost Numeric Bindings Unknown Unknown
ARPACK++ Templates Yes C++ Unknown No
ARPACK New BSD 1.5 Mb Yes FORTRAN Unknown No
MUMPS Public Domain 11 Mb Unknown Unknown
lapack BSD 86 Mb Fortran ?? Unknown Yes
clapack BSD 22 Mb ?? C 80% Unknown Yes
PLASMA BSD 13 Mb C + FORTRAN Yes
OpenNL ?, BSD 2.8 Mb Yes C, C++, CUDA Unknown Unknown Yes

SuiteSparse

TAUCS

SuperLU

Eigen

MUMPS

Boost Numeric Bindings

ARPACK++

ARPACK

lapack

clapack

PLASMA

OpenNL