libtrilinos-intrepid12

compatible discretizations of PDEs - runtime files

Intrepid is a library of interoperable tools for compatible discretizations of Partial Differential Equations (PDEs). Intrepid is intended primarily for application developers who want to reuse large parts of their existing code frameworks such as I/O, data structures, assembly routines, etc. while gaining access to advanced discretization capabilities provided by Intrepid.

python-med

python API for MED-fichier

python3-pytest-cython

pytest plugin for testing Cython extension modules (Python 3)

This Pytest plugin allows for the doctesting of C extension modules for Python, specifically created through Cython.
state of the art, high-performance web accelerator

varnish

state of the art, high-performance web accelerator

Varnish Cache is a state of the art web accelerator written with performance and flexibility in mind.

libtrilinos-ml12

multigrid preconditioning - runtime files

ML is Sandia's main multigrid preconditioning package. ML is designed to solve large sparse linear systems of equations arising primarily from elliptic PDE discretizations. ML is used to define and build multigrid solvers and preconditioners, and it contains black-box classes to construct highly-scalable smoothed aggregation preconditioners. ML preconditioners have been used on thousands of processors for a variety of problems, including the incompressible Navier-Stokes equations with heat and mass transfer, linear and nonlinear elasticity equations, the Maxwell equations, semiconductor equations, and more.

libpod-minimumversion-perl

module to determine minimum Perl version of POD directives

Pod::MinimumVersion parses the POD in a Perl script, module, or document, and reports what version of Perl is required to process the directives in it with pod2man etc.