Package: alicevision
Description-md5: 24f74f2adb49a14d9ddb0dead18f6afd
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the executable tools

Package: blimps-examples
Description-md5: 18ddc9ff8aab78bc1efd53cccc24389d
Description-en: blocks database improved searcher (example data)
 BLIMPS (BLocks IMProved Searcher) is a searching tool that scores
 a protein sequence against blocks or a block against sequences.
 .
 This package contains example data.

Package: blimps-utils
Description-md5: 1afe4567b883b39e7050a4f604a91e17
Description-en: blocks database improved searcher
 BLIMPS (BLocks IMProved Searcher) is a searching tool that scores
 a protein sequence against blocks or a block against sequences.
 .
 This package contains the binaries.

Package: cuda-drivers-fabricmanager-580
Description-md5: 6715a1a6e39ab2cdf04d9fe216556c20
Description-en: Meta-package for FM and Driver
 Convenience meta-package for installing fabricmanager and the cuda-drivers
 meta-package simultaneously while keeping version equivalence. This meta-
 package is branch-specific.

Package: cuda-drivers-fabricmanager-590
Description-md5: 79d09248104f4f2ac9d5cef6b9817c8f
Description-en: Meta-package for FM and Driver (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: cuda-drivers-fabricmanager-595
Description-md5: 6715a1a6e39ab2cdf04d9fe216556c20
Description-en: Meta-package for FM and Driver
 Convenience meta-package for installing fabricmanager and the cuda-drivers
 meta-package simultaneously while keeping version equivalence. This meta-
 package is branch-specific.

Package: firmware-qcom-dragonboard845c
Description-md5: 3507088ed94312d44b4d5f5207d7374f
Description-en: Binary firmware for various Qualcomm drivers used on Dragonboard 845c
 This package contains the binary firmware for GPU, USB, Venus, DSP hardware
 coprocessors found on SDM845, which is the main SoC on the Dragonboard 845c.

Package: firmware-qcom-rb3gen2
Description-md5: 932dde057b2dbbe5130433652321aa51
Description-en: Binary firmware for Qualcomm Robotics RB3 Gen2
 This package contains the binary firmware for the QCS6490, which is the main
 SoC on the Robotics RB3 Gen2.

Package: firmware-qcom-rb5
Description-md5: 0abf8cbedf59bff7af0b4696550319c7
Description-en: Binary firmware for various Qualcomm drivers used on Robotics RB5
 This package contains the binary firmware for the SM8250, which is the main
 SoC on the Robotics RB5.

Package: gds-tools
Description-md5: 0967df359a764acf59e06afe6602e1b5
Description-en: GPUDirect Storage - tools
 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.
 .
 This package contains the GDS tools.

Package: gitaly-installer
Description-md5: a0db51942a7c98ec821bffaf2b5a8789
Description-en: Git RPC service for handling all the git calls made by GitLab
 Gitaly makes the git data storage tier of large GitLab instances fast.
 This is achieved by moving git operations as close to the data as possible and
 Optimizing git services using caching.
 Gitaly is a core service of gitlab.
 This package installs Gitaly from pre-built binaries from Gitlab artifacts.

Package: gitlab-common
Description-md5: ccb3bd8dfffd14a6e75d53315368861a
Description-en: git powered software platform to collaborate on code (common)
 gitlab provides web based interface to host source code and track issues.
 It allows anyone for fork a repository and send merge requests. Code review
 is possible using merge request workflow. Using groups and roles project
 access can be controlled.
 .
 This package includes configurations common to gitlab and gitaly.

Package: gpu-burn
Description-md5: 92df966436bfa80d74015599c50bb431
Description-en: Multi-GPU CUDA stress test
 This allows one to run a stress test on your GPUs. Memory usage can
 be controlled by absolute number or percentage. Also allows one to run
 on specific GPU, useful if you have mixed multi GPU system.

Package: gstreamer1.0-fdkaac
Description-md5: 8a6ba7d84515005d9fd880d33f218f45
Description-en: GStreamer FDK AAC plugins
 GStreamer is a streaming media framework, based on graphs of filters
 which operate on media data.  Applications using this library can do
 anything from real-time sound processing to playing videos, and just
 about anything else media-related.  Its plugin-based architecture means
 that new data types or processing capabilities can be added simply by
 installing new plug-ins.
 .
 GStreamer Bad Plug-ins is a set of plug-ins that aren't up to par compared
 to the rest. They might be close to being good quality, but they're missing
 something - be it a good code review, some documentation, a set of tests, a
 real live maintainer, or some actual wide use.
 .
 This package contains the FDK AAC plugins.

Package: libaccinj64-12.4
Description-md5: 404daeb74b9a29243e00b395f84c5ada
Description-en: NVIDIA ACCINJ Library (64-bit)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 ACCINJ is the OpenACC internal library for profiling.
 .
 This package contains the 64-bit ACCINJ runtime library.

Package: libalicevision-data
Description-md5: ddf3277bd12a96a8873eb5b919423593
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the data files

Package: libalicevision-dev
Description-md5: 7c903fbdb1d3a9427fa77e32ec45b298
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the development files library

Package: libalicevision3
Description-md5: bf536eaaaeccf9e2157dcbeb259107be
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the shared library

Package: libarrow500
Description-md5: 8a74c20b264d031da68ff6acfb3933eb
Description-en: NVIDIA Nsight Systems internal library libarrow
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.
 .
 This package contains the internal library libarrow.so.500.

Package: libblimps3
Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa
Description-en: blocks database improved searcher library
 BLIMPS (BLocks IMProved Searcher) is a searching tool that scores
 a protein sequence against blocks or a block against sequences.
 .
 This package provides the shared library.

Package: libblimps3-dev
Description-md5: 4d04b155f279229d68533b0ec59a8e4f
Description-en: blocks database improved searcher library (development)
 BLIMPS (BLocks IMProved Searcher) is a searching tool that scores
 a protein sequence against blocks or a block against sequences.
 .
 This package provides the library development headers and the static library.

Package: libcublas12
Description-md5: 5d0c77d8f2c8429e53892a3a70d407c4
Description-en: NVIDIA cuBLAS Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuBLAS library is an implementation of BLAS (Basic Linear Algebra
 Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access
 the computational resources of NVIDIA Graphics Processing Unit (GPU), but
 does not auto-parallelize across multiple GPUs.
 .
 This package contains the cuBLAS runtime library.

Package: libcublaslt12
Description-md5: 785c52463c947123d690fd61ff5b3adb
Description-en: NVIDIA cuBLASLt Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuBLASLt library is a lightweight GEMM library with a flexible API and
 tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
 multiplication.
 .
 This package contains the cuBLASLt runtime library.

Package: libcudart12
Description-md5: d81acb8bf87762012a0607e71f8eff2e
Description-en: NVIDIA CUDA Runtime Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Runtime API library for high-level CUDA
 programming, on top of the CUDA Driver API.

Package: libcufft11
Description-md5: 323d8bcdb5ce372c028cb925743b7ad1
Description-en: NVIDIA cuFFT Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The FFT is a divide-and-conquer algorithm for efficiently computing discrete
 Fourier transforms of complex or real-valued data sets. It is one of the most
 important and widely used numerical algorithms in computational physics and
 general signal processing. The cuFFT library provides a simple interface for
 computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
 floating-point power and parallelism of the GPU in a highly optimized and
 tested FFT library.
 .
 This package contains the cuFFT runtime library.

Package: libcufftw11
Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa
Description-en: NVIDIA cuFFTW Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The FFT is a divide-and-conquer algorithm for efficiently computing discrete
 Fourier transforms of complex or real-valued data sets. It is one of the most
 important and widely used numerical algorithms in computational physics and
 general signal processing. The cuFFT library provides a simple interface for
 computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
 floating-point power and parallelism of the GPU in a highly optimized and
 tested FFT library.
 .
 This package contains the cuFFTW runtime library.

Package: libcufile-dev
Description-md5: c1cd67475ecf5c9f7b33393d15d2499f
Description-en: GPUDirect Storage - development files
 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.
 .
 This package contains the development files: headers and libraries.

Package: libcufile-rdma1
Description-md5: a788bd06834da289befc94d603814f4a
Description-en: GPUDirect Storage cuFile RDMA 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.
 .
 This package contains the cuFile RDMA runtime library.

Package: libcufile0
Description-md5: 10a0a46c2d90b38926742cf0189ef399
Description-en: 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.
 .
 This package contains the cuFile runtime library.

Package: libcuinj64-12.4
Description-md5: 9eca092b41526faa574873e622a445e3
Description-en: NVIDIA CUINJ Library (64-bit)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 CUINJ is the CUDA internal library for profiling.
 .
 This package contains the 64-bit CUINJ runtime library.

Package: libcupti-dev
Description-md5: 49cdc8386d120bdf14c58bebe2b3388d
Description-en: NVIDIA CUDA Profiler Tools Interface development files
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the development files: headers and libraries.

Package: libcupti-doc
Description-md5: 0c6d9f272f89c82663423610515dd3eb
Description-en: NVIDIA CUDA Profiler Tools Interface documentation
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the documentation and examples.

Package: libcupti12
Description-md5: 65f2f1bea81316b239224ffd680c5064
Description-en: NVIDIA CUDA Profiler Tools Interface runtime library
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the runtime library.

Package: libcurand10
Description-md5: 05f7818fdfa9c23c51a9db2407910cae
Description-en: NVIDIA cuRAND Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuRAND library provides facilities that focus on the simple and efficient
 generation of high-quality pseudorandom and quasirandom numbers.
 A pseudorandom sequence of numbers satisfies most of the statistical
 properties of a truly random sequence but is generated by a deterministic
 algorithm. A quasirandom sequence of n-dimensional points is generated by a
 deterministic algorithm designed to fill an n-dimensional space evenly.
 .
 This package contains the cuRAND runtime library.

Package: libcusolver11
Description-md5: a30cfc560fa3fdce643526b0177ea7ba
Description-en: NVIDIA cuSOLVER Library
 The cuSOLVER library contains LAPACK-like functions in dense and sparse
 linear algebra, including linear solver, least-square solver and eigenvalue
 solver.
 .
 This package contains the cuSOLVER runtime library.

Package: libcusolvermg11
Description-md5: 6bd7798cc05ca17920d01c4430269d51
Description-en: NVIDIA cuSOLVERmg Library
 The cuSOLVER library contains LAPACK-like functions in dense and sparse
 linear algebra, including linear solver, least-square solver and eigenvalue
 solver.
 .
 This package contains the cuSOLVERmg runtime library.

Package: libcusparse12
Description-md5: e9b6ffe9588718ecb795e00478506c00
Description-en: NVIDIA cuSPARSE Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuSPARSE library contains a set of basic linear algebra subroutines used
 for handling sparse matrices. It is implemented on top of the NVIDIA CUDA
 runtime and is designed to be called from C and C++. The library routines can
 be classified into four categories:
 * Level 1: operations between a vector in sparse format and a vector in dense
 format
 * Level 2: operations between a matrix in sparse format and a vector in dense
 format
 * Level 3: operations between a matrix in sparse format and a set of vectors
 in dense format
 * Conversion: operations that allow conversion between different matrix
 formats
 .
 This package contains the cuSPARSE runtime library.

Package: libfdkaac-ocaml
Description-md5: bb2f9e8c4bbbe0171677f3112ec84bc4
Description-en: OCaml interface to the fdkaac library -- runtime files
 This package provides an interface to the fdkaac library for
 OCaml programmers.
 .
 The FDK AAC Codec Library For Android contains an encoder implementation
 of the Advanced Audio Coding (AAC) audio codec.
 .
 This package contains only the shared runtime stub libraries.

Package: libfdkaac-ocaml-dev
Description-md5: 9aeb7a2390ccd3baa5b2d363ba61ce74
Description-en: OCaml interface to the fdkaac library -- development files
 This package provides an interface to the fdkaac library for
 OCaml programmers.
 .
 The FDK AAC Codec Library For Android contains an encoder implementation
 of the Advanced Audio Coding (AAC) audio codec.
 .
 This package contains all the development stuff you need to develop
 OCaml programs which use ocaml-fdkaac.

Package: libfdkaac-ocaml-dynlink
Description-md5: 70244771865d3116ad8cf83f837f959a
Description-en: OCaml interface to the fdkaac library -- dynamically load
 This package provides an interface to the fdkaac library for
 OCaml programmers.
 .
 The FDK AAC Codec Library For Android contains an encoder implementation
 of the Advanced Audio Coding (AAC) audio codec.
 .
 This package contains the modules needed to dynamically load ocaml-fdkaac
 in a program.

Package: libggml0-backend-cuda
Description-md5: 2e6b39f5bb9691de513fdda76a7a988c
Description-en: Tensor library for machine learning - CUDA backend
 ggml is a tensor library for machine learning with the following features:
 .
 * Low-level cross-platform implementation
 * Integer quantization support
 * Broad hardware support
 * Automatic differentiation
 * ADAM and L-BFGS optimizers
 * No third-party dependencies
 * Zero memory allocations during runtime
 .
 On Debian, ggml is shipped as a package that depends on one of the CPU or
 GPU backends.
 .
 This package provides the CUDA backend, for NVIDIA GPUs.

Package: libgloo-cuda-0
Description-md5: 11fe5b4bb9197845522ecac87176ae15
Description-en: Collective communications library (shared object)
 Gloo is a collective communications library. It comes with a number of
 collective algorithms useful for machine learning applications. These
 include a barrier, broadcast, and allreduce.
 .
 Transport of data between participating machines is abstracted so that
 IP can be used at all times, or InifiniBand (or RoCE) when available.
 In the latter case, if the InfiniBand transport is used, GPUDirect can
 be used to accelerate cross machine GPU-to-GPU memory transfers.
 .
 Where applicable, algorithms have an implementation that works with system
 memory buffers, and one that works with NVIDIA GPU memory buffers. In the
 latter case, it is not necessary to copy memory between host and device;
 this is taken care of by the algorithm implementations.
 .
 This package ships the shared object for Gloo.

Package: libgloo-cuda-dev
Description-md5: 1eb5d67397fdb9a8162c5c082d1e6d78
Description-en: Collective communications library (development files)
 Gloo is a collective communications library. It comes with a number of
 collective algorithms useful for machine learning applications. These
 include a barrier, broadcast, and allreduce.
 .
 Transport of data between participating machines is abstracted so that
 IP can be used at all times, or InifiniBand (or RoCE) when available.
 In the latter case, if the InfiniBand transport is used, GPUDirect can
 be used to accelerate cross machine GPU-to-GPU memory transfers.
 .
 Where applicable, algorithms have an implementation that works with system
 memory buffers, and one that works with NVIDIA GPU memory buffers. In the
 latter case, it is not necessary to copy memory between host and device;
 this is taken care of by the algorithm implementations.
 .
 This package ships the development files.

Package: libhwloc-contrib-plugins
Description-md5: 8faa39a7d59c7d7004fdfd6792577295
Description-en: Hierarchical view of the machine - contrib plugins
 libhwloc provides a portable abstraction (across OS, versions,
 architectures, ...) of the hierarchical topology of modern architectures. It
 primarily aims at helping high-performance computing applications with
 gathering information about the hardware so as to exploit it accordingly and
 efficiently.
 .
 libhwloc provides a hierarchical view of the machine, NUMA memory nodes,
 sockets, shared caches, cores and simultaneous multithreading. It also gathers
 various attributes such as cache and memory information.
 .
 libhwloc supports old kernels not having sysfs topology information,
 with knowledge of cpusets, offline cpus, and Kerrighed support
 .
 This package contains plugins to add discovery support for non-free items. This
 includes
 - CUDA support.

Package: libnccl-dev
Description-md5: eb51ac028af4e93d497fb00fb21ea648
Description-en: NVIDIA Optimized primitives for inter-GPU communication (development)
 NCCL (pronounced "Nickel") is a stand-alone library of standard communication
 routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast,
 reduce-scatter, as well as any send/receive based communication pattern. It
 has been optimized to achieve high bandwidth on platforms using PCIe, NVLink,
 NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL
 supports an arbitrary number of GPUs installed in a single node or across
 multiple nodes, and can be used in either single- or multi-process (e.g., MPI)
 applications.
 .
 This package contains the development files.

Package: libnccl2
Description-md5: 9d65922c97dff88e1fb00aa87e7e5d73
Description-en: NVIDIA Optimized primitives for inter-GPU communication
 NCCL (pronounced "Nickel") is a stand-alone library of standard communication
 routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast,
 reduce-scatter, as well as any send/receive based communication pattern. It
 has been optimized to achieve high bandwidth on platforms using PCIe, NVLink,
 NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL
 supports an arbitrary number of GPUs installed in a single node or across
 multiple nodes, and can be used in either single- or multi-process (e.g., MPI)
 applications.
 .
 This package contains the shared objects.

Package: libnppc12
Description-md5: 371330c0e4596d14c1ae0b854eecfa9c
Description-en: 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.
 .
 This package contains the NVIDIA Performance Primitives core runtime library.

Package: libnppial12
Description-md5: bedf7547f548db0fc00407b8bb5572af
Description-en: NVIDIA Performance Primitives lib for Image Arithmetic and Logic
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Arithmetic and Logic operations, which is a sub-library of nppi.

Package: libnppicc12
Description-md5: 5c43692beedf3cbda68cb3add3a2f55f
Description-en: NVIDIA Performance Primitives lib for Image Color Conversion
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Color and sampling Conversion, which is a sub-library of nppi.

Package: libnppidei12
Description-md5: 96ae21f243272a0c4cf855590b806f52
Description-en: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Data Exchange and Initialization, which is a sub-library of nppi.

Package: libnppif12
Description-md5: 25b0779ba1f9f488a81add47bc943c6a
Description-en: NVIDIA Performance Primitives lib for Image Filters
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Filters, which is a sub-library of nppi.

Package: libnppig12
Description-md5: 1f9ccb01fdd747cf6305e037d1c19323
Description-en: NVIDIA Performance Primitives lib for Image Geometry transforms
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Geometry transforms, which is a sub-library of nppi.

Package: libnppim12
Description-md5: f03f24db87826ca6b27a88b05bc823c0
Description-en: NVIDIA Performance Primitives lib for Image Morphological operations
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Morphological operations, which is a sub-library of nppi.

Package: libnppist12
Description-md5: c9507fd21beb3b0609afeb40e63f4792
Description-en: NVIDIA Performance Primitives lib for Image Statistics
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Statistics and Linear Transformation, which is a sub-library of nppi.

Package: libnppisu12
Description-md5: 37b8fa6ff382e1378e1a21c6d0074f80
Description-en: NVIDIA Performance Primitives lib for Image Support
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Support, which is a sub-library of nppi.

Package: libnppitc12
Description-md5: d1f0489937a1662cf9d2bf3e68764e1f
Description-en: NVIDIA Performance Primitives lib for Image Threshold and Compare
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Threshold and Compare, which is a sub-library of nppi.

Package: libnpps12
Description-md5: 24aac8a47c80e58916c189d81d7a7714
Description-en: NVIDIA Performance Primitives for signal processing 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.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 signal processing.

Package: libnvblas12
Description-md5: e77f7a1f1173b44f2910c8a51eff1d1c
Description-en: NVBLAS runtime library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic
 Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by
 dynamically routing BLAS calls to one or more NVIDIA GPUs present in the
 system, when the characteristics of the call make it to speedup on a GPU.

Package: libnvfatbin12
Description-md5: 7a87a6281711813c2f0abc1f1f00dd4f
Description-en: NVIDIA compiler library for fatbin interaction
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the NVIDIA compiler runtime library for fatbin
 interaction.

Package: libnvidia-common-570
Description-md5: 199944b00680c01ad96667801f879894
Description-en: Shared files used by the NVIDIA libraries (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: libnvidia-common-570-server
Description-md5: 199944b00680c01ad96667801f879894
Description-en: Shared files used by the NVIDIA libraries (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: libnvidia-ml-dev
Description-md5: 1a3cdb21304c933ce9becbb20eb9aa0f
Description-en: NVIDIA Management Library (NVML) development files
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the header file and depends on the driver-provided
 library.

Package: libnvidia-nscq-580
Description-md5: 06d90fb68ae67655c00815a4db03a64e
Description-en: NVSwitch Configuration and Query library
 NVIDIA NVSwitch Configuration and Query (NSCQ) library provides a
 stable driver API used by DCGM for monitoring NVSwitch devices.

Package: libnvidia-nscq-590
Description-md5: 4a054caf2c1d301b928a568560e782af
Description-en: NVSwitch Configuration and Query library (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: libnvidia-nscq-595
Description-md5: 06d90fb68ae67655c00815a4db03a64e
Description-en: NVSwitch Configuration and Query library
 NVIDIA NVSwitch Configuration and Query (NSCQ) library provides a
 stable driver API used by DCGM for monitoring NVSwitch devices.

Package: libnvjitlink12
Description-md5: 795531b08acffe00a6ebc632c3d8e806
Description-en: NVIDIA Compiler JIT LTO Library
 NVIDIA's CUDA Compiler (NVCC) may apply Just-in-Time (JIT)
 Link-Time-Optimization (LTO) to improve performance of CUDA kernels
 comprised of multiple separate compilation units.
 .
 This package contains the NVIDIA Compiler JIT LTO runtime library.

Package: libnvjpeg12
Description-md5: 623ac7d33181f0192b9126244e553a5c
Description-en: NVIDIA JPEG library (nvJPEG)
 The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG
 decoding functionality for image formats commonly used in deep learning and
 hyperscale multimedia applications. The library offers single and batched JPEG
 decoding capabilities which efficiently utilize the available GPU resources
 for optimum performance; and the flexibility for users to manage the memory
 allocation needed for decoding.

Package: libnvrtc-builtins12.4
Description-md5: a446d5189a000ea8dd760125227b0954
Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Builtins Library)
 CUDA Runtime Compilation library (nvrtc) provides an API to compile
 CUDA-C++ device source code at runtime.
 .
 The resulting compiled PTX can be launched on a GPU using the CUDA
 Driver API.
 .
 This package contains the NVRTC Builtins library.

Package: libnvrtc12
Description-md5: b1b9b1f5f271a283664f94ae0f1e94b4
Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Library)
 CUDA Runtime Compilation library (nvrtc) provides an API to compile
 CUDA-C++ device source code at runtime.
 .
 The resulting compiled PTX can be launched on a GPU using the CUDA
 Driver API.
 .
 This package contains the NVRTC library.

Package: libnvtoolsext1
Description-md5: 301861470547d1207ee0ad56dfa1ef90
Description-en: NVIDIA Tools Extension Library
 The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and
 ranges in your applications. Applications which integrate NVTX can use Nsight
 to capture and visualize these events and ranges.
 .
 This package contains the NVIDIA Tools Extension runtime library.

Package: libnvvm4
Description-md5: 1efd5ade308f30b7de84c0430187211c
Description-en: NVIDIA NVVM Library
 NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source
 compiler infrastructure.
 .
 The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA
 GPUs.
 .
 This package contains the NVIDIA NVVM runtime library.

Package: libparmetis-dev
Description-md5: 839c770f477cb92f6af09275d807c484
Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Libs: Devel
 ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and
 orders variables for minimal fill when using direct solvers for sparse
 matrices.  It does all this in parallel, and also can efficiently re-partition
 a graph or mesh whose connectivity has changed.
 .
 This package contains files needed to develop programs using ParMetis.

Package: libparmetis4.0
Description-md5: 17a6686f47a3b63f4328881bffab697b
Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Shared Libs
 ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and
 orders variables for minimal fill when using direct solvers for sparse
 matrices.  It does all this in parallel, and also can efficiently re-partition
 a graph or mesh whose connectivity has changed.
 .
 This package contains the ParMetis shared libraries.

Package: libparquet500
Description-md5: ec29991d4015e2784df03e590815b8ef
Description-en: NVIDIA Nsight Systems internal library libparquet
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.
 .
 This package contains the internal library libparquet.so.500.

Package: libtensorpipe-cuda-0
Description-md5: b49a93726d4da68e6161824dc04f12b3
Description-en: tensor-aware point-to-point communication primitive for machine learning
 The TensorPipe project provides a tensor-aware channel to transfer rich
 objects from one process to another while using the fastest transport for the
 tensors contained therein (e.g., CUDA device-to-device copy).
 .
 This package contains shared objects.

Package: libtensorpipe-cuda-dev
Description-md5: 6b4397dd30e29fe70ebb4ea9c71ececf
Description-en: tensor-aware point-to-point communication primitive for machine learning
 The TensorPipe project provides a tensor-aware channel to transfer rich
 objects from one process to another while using the fastest transport for the
 tensors contained therein (e.g., CUDA device-to-device copy).
 .
 This package contains development files.

Package: libunrar-dev
Description-md5: f0d4f0d0a59eba23861eb9aa98ca7de1
Description-en: Unarchiver for .rar files (non-free version) - development files
 This package contains architecture dependent files for development.
 Install libunrar-headers package for architecture independent header files.

Package: libunrar-headers
Description-md5: 5933d9af6d012cfa7dbcb3420667ec4a
Description-en: Unarchiver for .rar files (non-free version) - development header files
 This package contains the header files for the libunrar library.
 This package have architecture independent files for development.

Package: libunrar5t64
Description-md5: 6c6e3778b22804711aac9214e8155be4
Description-en: Unarchiver for .rar files (non-free version) - shared library
 Library for unarchiving .rar files.
 This library provides extractor functions that use for .rar files.

Package: madfuload
Description-md5: 3097b3926c405386271dff3079c68f9b
Description-en: Firmware loader for M-Audio DFU audio devices
 This package allows you to use M-Audio's DFU audio devices
 with Linux. These devices require a firmware download before
 an operating system driver (e.g. ALSA's snd-usb-audio) can
 access them.
 .
 Supported devices:
 - Sonica
 - Ozone
 - MobilePre USB (some newer models work without the loader)
 - Transit
 The loader is not required for some newer models of the above devices,
 like the Ozone Academic.

Package: nsight-compute
Description-md5: ae73c3bbcf7dbd4b9a83f57a09c0d8b3
Description-en: NVIDIA Nsight Compute
 NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
 It provides detailed performance metrics and API debugging via a user
 interface and command line tool. In addition, its baseline feature allows
 users to compare results within the tool. Nsight Compute provides a
 customizable and data-driven user interface and metric collection and can be
 extended with analysis scripts for post-processing results.

Package: nsight-compute-target
Description-md5: 63cc5f774d2e4cd2d5746e323baf9499
Description-en: NVIDIA Nsight Compute (target specific libraries)
 NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
 It provides detailed performance metrics and API debugging via a user
 interface and command line tool. In addition, its baseline feature allows
 users to compare results within the tool. Nsight Compute provides a
 customizable and data-driven user interface and metric collection and can be
 extended with analysis scripts for post-processing results.
 .
 This package contains the target specific libraries.

Package: nsight-systems
Description-md5: 07ace54e5beaed541842de61e76de614
Description-en: NVIDIA Nsight Systems
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.

Package: nsight-systems-target
Description-md5: 314a9e91087893dedfe9c4aa99b10e74
Description-en: NVIDIA Nsight Systems (target specific libraries)
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.
 .
 This package contains the target specific libraries.

Package: nvbandwidth
Description-md5: 3761e1e5cbde48c98f34e9b72ed8a46d
Description-en: tool for bandwidth measurements on NVIDIA GPUs
 This measures bandwidth for various memcpy patterns across different links
 using copy engine or kernel copy methods. nvbandwidth reports current measured
 bandwidth on your system. Additional system-specific tuning may be required to
 achieve maximal peak bandwidth.

Package: nvidia-cuda-dev
Description-md5: 23a17262479fe7daf1cae67727e949c7
Description-en: NVIDIA CUDA development files
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the development files: headers and libraries.

Package: nvidia-cuda-gdb
Description-md5: 03d8613224997399b5d081ffb05a91f3
Description-en: NVIDIA CUDA Debugger (GDB)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the cuda-gdb debugger.

Package: nvidia-cuda-toolkit
Description-md5: 4df65757189fdcbdcc50ffa97fccca02
Description-en: NVIDIA CUDA development toolkit
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the nvcc compiler and other tools needed for building
 CUDA applications.
 .
 Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA
 driver kernel module.

Package: nvidia-cuda-toolkit-doc
Description-md5: 37628d7854344886d340076661277f47
Description-en: NVIDIA CUDA and OpenCL documentation
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 Note that CUDA documentation is no longer bundled with CUDA toolkit releases.
 Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.

Package: nvidia-cuda-toolkit-gcc
Description-md5: 7ce75ce1d326c959ae1d41d38407d4e7
Description-en: NVIDIA CUDA development toolkit (GCC compatibility)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to
 simplify building packages that need to be built with a CUDA-compatible
 compiler.
 .
 This package ensures a deterministic nvcc/gcc combination is used by default
 and is therefore recommended to be used as build dependency for all source
 packages needing nvcc for building.

Package: nvidia-cudnn
Description-md5: aff2caf53c29838279b63dd35dec1798
Description-en: NVIDIA CUDA Deep Neural Network library (install script)
 The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated
 library of primitives for deep neural networks. cuDNN provides highly
 tuned implementations for standard routines such as forward and backward
 convolution, pooling, normalization, and activation layers. cuDNN is part
 of the NVIDIA Deep Learning SDK.
 .
 This package only contains the script "/usr/sbin/update-nvidia-cudnn" to
 download and install Nvidia cuDNN locally. It will be automatically
 invoked during installation.

Package: nvidia-fabricmanager-580
Description-md5: 3d49e1346de8fc10beaca066b0eb5df0
Description-en: Fabric Manager for NVSwitch based systems.
 Fabric Manager for NVIDIA NVSwitch based systems.

Package: nvidia-fabricmanager-590
Description-md5: 06ff0a5beaed94dd1612653f803516ef
Description-en: Fabric Manager for NVSwitch based systems. (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: nvidia-fabricmanager-595
Description-md5: 3d49e1346de8fc10beaca066b0eb5df0
Description-en: Fabric Manager for NVSwitch based systems.
 Fabric Manager for NVIDIA NVSwitch based systems.

Package: nvidia-fabricmanager-dev-580
Description-md5: 565605cc6a127d423c88c38e5c2f9a26
Description-en: Fabric Manager API headers and associated library
 Fabric Manager API headers and associated library

Package: nvidia-fabricmanager-dev-590
Description-md5: 6d784138f631bec423b38a723527202b
Description-en: Fabric Manager API headers and associated library (transitional package)
 Transitional package for upgrades. This package can be safely removed.

Package: nvidia-fabricmanager-dev-595
Description-md5: 565605cc6a127d423c88c38e5c2f9a26
Description-en: Fabric Manager API headers and associated library
 Fabric Manager API headers and associated library

Package: nvidia-fs-dkms
Description-md5: 72d9e86231846b86e7ec42b9fab514c0
Description-en: NVIDIA file-system - nvidia-fs.ko kernel driver
 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.
 .
 This package builds the nvidia-fs.ko kernel driver.

Package: nvidia-imex-580
Description-md5: f7a765b2a95d4cabcc9695466d5f6cc8
Description-en: IMEX Manager for NVIDIA based systems.
 IMEX Manager for NVIDIA systems.

Package: nvidia-imex-595
Description-md5: f7a765b2a95d4cabcc9695466d5f6cc8
Description-en: IMEX Manager for NVIDIA based systems.
 IMEX Manager for NVIDIA systems.

Package: nvidia-opencl-dev
Description-md5: 5404c4fac54bb1c7a833b77f92a02e84
Description-en: NVIDIA OpenCL development files
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This metapackage provides the development files: headers and libraries.

Package: nvidia-profiler
Description-md5: 83d361c54427ed94d5493552d5ade11b
Description-en: NVIDIA Profiler for CUDA and OpenCL
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package contains the nvprof profiler.

Package: parmetis-doc
Description-md5: 55cc39b179c0b5b2dedead6fc6a8c34f
Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Lib - Docs
 ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and
 orders variables for minimal fill when using direct solvers for sparse
 matrices.  It does all this in parallel, and also can efficiently re-partition
 a graph or mesh whose connectivity has changed.
 .
 This package contains the documentation and example files.

Package: parmetis-test
Description-md5: b9b53f52a3b7e53d03b5260911e600a9
Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Tests
 ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and
 orders variables for minimal fill when using direct solvers for sparse
 matrices.  It does all this in parallel, and also can efficiently re-partition
 a graph or mesh whose connectivity has changed.
 .
 This package contains programs which test the ParMetis libraries using files
 in the parmetis-doc package's examples directory.

Package: prismlauncher
Description-md5: 7f9b4a97aa92ffdb5e5ed2be104d1aad
Description-en: FOSS Minecraft launcher supporting multiple instances and accounts
 Prism Launcher is a custom launcher for Minecraft that allows users to
 create multiple instances and use multiple accounts. As a fork of the
 popular MultiMC, it focuses on user freedom, stability, & simplicity.

Package: qml-module-alicevision
Description-md5: b0828498978adcbe98e36eee430a91bd
Description-en: QML bindings for AliceVision
 Classes to load and visualize AliceVision data through QML. Makes the
 AliceVision backend available via the Meshroom frontend

Package: qt6-alicevision-oiio-plugins
Description-md5: 137f119453e49deba6864085fabb72c9
Description-en: Qt6 AliceVision library plugins
 An OpenImageIO backend for image IO in Qt:
 - Read RAW images from DSLRs
 - Read intermediate files of the AliceVision framework stored in EXR format

Package: r-cran-surveillance
Description-md5: 028949954f0ca7a5c48fdc6b9eabf37e
Description-en: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
 Statistical methods for the modeling and monitoring of time series
 of counts, proportions and categorical data, as well as for the modeling
 of continuous-time point processes of epidemic phenomena. The monitoring
 methods focus on aberration detection in count data time series from public
 health surveillance of communicable diseases, but applications could
 just as well originate from environmetrics, reliability engineering,
 econometrics, or social sciences. The package implements many typical
 outbreak detection procedures such as the (improved) Farrington algorithm,
 or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008)
 <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic
 and multinomial logistic modeling is also included. The package contains
 several real-world data sets, the ability to simulate outbreak data,
 and to visualize the results of the monitoring in a temporal, spatial or
 spatio-temporal fashion. A recent overview of the available monitoring
 procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For
 the retrospective analysis of epidemic spread, the package provides three
 endemic-epidemic modeling frameworks with tools for visualization, likelihood
 inference, and simulation. hhh4() estimates models for (multivariate)
 count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and
 Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the
 susceptible-infectious-recovered (SIR) event history of a fixed population,
 e.g, epidemics across farms or networks, as a multivariate point process as
 proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates
 self-exciting point process models for a spatio-temporal point pattern
 of infective events, e.g., time-stamped geo-referenced surveillance data,
 as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A
 recent overview of the implemented space-time modeling frameworks for epidemic
 phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Package: scrcpy
Description-md5: f4d3278cbcabc4e96c1e91257a92086a
Description-en: Display and control your Android devices
 scrcpy mirrors Android devices (video and audio) connected via USB or TCP/IP,
 and allows one to control them using the computer's keyboard and mouse. It does
 not require root access or an app installed on the device.
 .
 Its features include:
 * audio forwarding (Android 11+)
 * recording
 * virtual display
 * mirroring with Android device screen off
 * copy-paste in both directions
 * configurable quality
 * camera mirroring (Android 12+)
 * mirroring as a webcam (V4L2) (Linux-only)
 * physical keyboard and mouse simulation (HID)
 * gamepad support
 * OTG mode
 * and more...
 .
 The Android device requires at least API 21 (Android 5.0). Audio forwarding is
 supported for API >= 30 (Android 11+). Make sure you enabled USB debugging on
 your device(s).
 .
 This package contains the client (desktop) binary. Server (mobile) binary will
 be downloaded directly from upstream.

Package: sift
Description-md5: 7788bf12148938f8dc8e4675657ce605
Description-en: predicts if a substitution in a protein has a phenotypic effect
 SIFT is a sequence homology-based tool that sorts intolerant from tolerant
 amino acid substitutions and predicts whether an amino acid substitution
 in a protein will have a phenotypic effect. SIFT is based on the premise
 that protein evolution is correlated with protein function. Positions
 important for function should be conserved in an alignment of the protein
 family, whereas unimportant positions should appear diverse in an alignment.

Package: slurm-wlm-nvml-plugin
Description-md5: 382ad5eb1a96045c9ecbf90f2e89d21b
Description-en: SLURM NVML plugins
 SLURM, the Simple Linux Utility for Resource Management,
 is an open-source cluster resource management and job scheduling.
 .
 This package contains the Nvidia NVML-based SLURM plugin.

Package: slurm-wlm-nvml-plugin-dev
Description-md5: 25e2f364af04a256ac8860bffe699da0
Description-en: SLURM NVML plugin development files
 SLURM, the Simple Linux Utility for Resource Management,
 is an open-source cluster resource management and job scheduling.
 .
 This package contains development files for the Nvidia NVML-based
 SLURM plugins.

Package: unrar
Description-md5: 363f696bb115028ffafb265ccc9f32fb
Description-en: Unarchiver for .rar files (non-free version)
 Unrar can extract files from .rar archives. If you want to create .rar
 archives, install package rar.

Package: spellcast
Description-md5: 87c580f42122b5255334fb4ec992f73c
Description-en: Classic hand-waving multi-player game of spellcasting
 Spellcast is a classic game of might and magic for the X Windowing System
 based on the pen and pencil game Spellbinder, published in 1997. In the game,
 two or more wizards duke it out with spells, summoning monsters, and plain old
 poking with fingers.

