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.