Open Source Math-Scientific Libraries Listed in BC Policy FY13-01

Date of Capability: 21 Jan 2014
Last Updated: 24 Aug 2015 (see Revision Log)

ARPACK (Solution of Eigenvalues/Eigenvectors)
Dakota (Optimization and Uncertainty Quantification)
FFTW (Library for computing Discrete Fourier Transforms)
PETSc (Suite of scientific computing routines)
SuperLU (Direct solution of sparse linear systems of equations)
LAPACK (Software library of numerical linear algebra routines)
ScaLAPACK (Subset of parallelized LAPACK routines)
GSL (C/C++ library with a wide variety of mathematical routines)

All software and libraries listed in this category are included in the HPCMP Common Open Source Tools (COST) package. The COST Quick Reference Guide lists all packages included in COST, instructions on how to use the COST software and libraries, and brief descriptions for each package.

Revision Log
Date Revision
19 Dec 2018 Replaced the description of Dakota from "Non-linear Optimization" to "Optimization and Uncertainty Quantification"
06 Sep 2018 BC Team Audit - Added the package “Dakota” to the capability and COST
24 Aug 2015 Added PARPACK (Parallel ARPACK) to the capability
19 Feb 2015 Clarified connection between the capability and COST package