libgmsh4.8
Three-dimensional finite element mesh generator shared library
Gmsh is a 3D finite element grid generator with a build-in CAD engine
and post-processor. Its design goal is to provide a fast, light and
user-friendly meshing tool with parametric input and advanced
visualization capabilities. Gmsh is built around four modules: geometry,
mesh, solver and post-processing. The specification of any input to
these modules is done either interactively using the graphical user
interface or in ASCII text files using Gmsh's own scripting language.
python3-domdf-python-tools
Helpful functions for Python
Domdf-python-tools" is a set of command-line tools for Python that can be used
for many common tasks in Python software development.
libcufile0
GPUDirect Storage cuFile runtime library
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
ruby-google-apis-container-v1beta1
Simple REST client for Kubernetes Engine API V1beta1
This is the simple REST client for Kubernetes Engine API V1beta1. Simple REST
clients are Ruby client libraries that provide access to Google services via
their HTTP REST API endpoints. These libraries are generated and updated
automatically based on the discovery documents published by the service, and
they handle most concerns such as authentication, pagination, retry, timeouts,
and logging. You can use this client to access the Kubernetes Engine API, but
note that some services may provide a separate modern client that is easier to
use.
libdolfinx-mpc0.8
Multi-point constraints with FEniCS-X
This library contains an add-on to FEniCSx enabling the possibilities
of enforce multi-point constraints. This can be used to for instance
enforce slip conditions strongly, or apply periodic boundaries..
libnppc12
NVIDIA Performance Primitives core runtime library
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing. The initial set offunctionality in the library focuses on imaging
and video processing and is widely applicable for developers in these areas.
NPP will evolve over time to encompass more of the compute heavy tasks in a
variety of problem domains. The NPP library is written to maximize
flexibility, while maintaining high performance.