<?xml version="1.0" encoding="utf-8"?>
<media_info><info fn="angband-data-shockbolt-4.2.5-1.mga9.nonfree.src"
 sourcerpm=''
 url='https://rephial.org/'
 license='Freeware'>
This package contains the nonfree Shockbolt tileset for Angband,
whose license restricts modifications and usage with any other product
than Angband.

This package is meant to be installed with the angband binary package.
</info><info fn="cuda-z-0.11.291-12.mga9.nonfree.src"
 sourcerpm=''
 url='https://cuda-z.sourceforge.net/'
 license='GPLv3'>
CUDA-Z shows some basic information about CUDA-enabled GPUs and
GPGPUs. It works with nVIDIA Geforce, Quadro and Tesla cards, ION
chipsets.

CUDA-Z shows the following information:

    - Installed CUDA driver and dll version.
    - GPU core capabilities.
    - Integer and float point calculation performance.
    - Performance of double-precision operations if GPU is capable.
    - memory size and bandwidth.

This program also exports collected information to HTML format and
plain text file.
</info><info fn="nvidia-cuda-toolkit-samples-bins-12.9.1-1.mga9.nonfree.src"
 sourcerpm=''
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains the binaries of the numerous CUDA code samples
(formerly CUDA SDK).
</info><info fn="nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src"
 sourcerpm=''
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains the libraries and attendant files needed to run
programs that make use of CUDA™.
</info><info fn="nvidia-newfeature-575.64.05-4.mga9.nonfree.src"
 sourcerpm=''
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Source package of the current NVIDIA proprietary driver. Binary
packages are named x11-driver-video-nvidia-newfeature.
</info><info fn="nvidia-current-580.126.09-1.mga9.nonfree.src"
 sourcerpm=''
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Source package of the current NVIDIA proprietary driver. Binary
packages are named x11-driver-video-nvidia-current.
</info></media_info>
