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.
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.