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: d1x-rebirth
Description-md5: b3566f0072b8628184f278ac75aa752a
Description-en: port of the 1995 classic game Descent 1: First Strike
 DXX-Rebirth is a Source Port of the Descent & Descent ][ Engines and
 provides classical Gameplay combined with OpenGL graphics and effects,
 a bunch of improvements and new features.
 .
 This package provides the engine to play "Descent 1: First Strike"
 .
 Original game data is needed to play this game.

Package: d2x-rebirth
Description-md5: d3a22a6a8952ee0ec3ed967ab47359f5
Description-en: port of the 1996 classic game Descent 2: Counterstrike
 DXX-Rebirth is a Source Port of the Descent & Descent ][ Engines and
 provides classical Gameplay combined with OpenGL graphics and effects,
 a bunch of improvements and new features.
 .
 This package provides the engine to play "Descent 2: Counterstrike"
 .
 Original game data is needed to play this game.

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: lgeneral
Description-md5: d3cd338c86e0144cd187ecea33e57ef8
Description-en: strategy game in the tradition of Panzer General
 LGeneral is a turn-based strategy game heavily inspired by Panzer General.
 You play single scenarios or whole campaigns turn by turn against a human
 player or the AI.
 .
 Entrenchment, rugged defense, defensive fire, surprise contacts, surrender,
 unit supply, weather influence, reinforcements and other implementations
 contribute to the tactical and strategic depth of the game.
 .
 This is the game engine only. LGeneral requires lgeneral-data or lgc-pg, which
 converts the game data of the original Panzer General game, to function
 properly.

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: libamgcl-dev
Description-md5: ec65c5ece2e2ac48e9fba2a354789071
Description-en: Solves large sparse linear systems with algebraic multigrid method
 AMG is one of the most effective iterative methods for solution of equation
 systems arising, for example, from discretizing PDEs on unstructured grids. The
 method can be used as a black-box solver for various computational problems,
 since it does not require any information about the underlying geometry. AMG is
 often used not as a standalone solver but as a preconditioner within an
 iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
 .
 AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
 provided backends. This allows for transparent acceleration of the solution
 phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
 their own backends which enables tight integration between AMGCL and the user
 code.
 .
 AMG is a header-only C++ library, with the headers provided by this package.

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: 12835bf1c971845122d660784efe714a
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: libggml0-backend-cuda
Description-md5: 56db844880e610d6c8401c92a13f05dd
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: libgxccd
Description-md5: 622abeffe49fa8503f3386cafa8859a1
Description-en: library for cameras made by Moravian Instruments
 This package contains the libraries to support cameras
 made by Moravian Instruments.
 .
 This library can be used to control MI CCD cameras connected over
 USB or Ethernet.

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-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: 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: librna-perl
Description-md5: 895cf06070e423e768fdaf45508091e5
Description-en: ViennaRNA perl wrappers
 Perl wrappers above ViennaRNA library.
 .
 The Vienna RNA Package consists of a C code library and several
 stand-alone programs for the prediction and comparison of RNA secondary
 structures

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: 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: 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-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-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: octave-astra-toolbox
Description-md5: 19af48502a78cfefea101547a3f3aa12
Description-en: toolbox of high-performance GPU primitives for 2D and 3D tomography (octave)
 It supports 2D parallel and fan beam geometries, and 3D parallel and
 cone beam. All of them have highly flexible source/detector
 positioning.
 .
 A large number of 2D and 3D algorithms are available, including FBP,
 SIRT, SART, CGLS.
 .
 The basic forward and backward projection operations are
 GPU-accelerated, and directly callable from Octave and Python to
 enable building new algorithms.
 .
 This is the Octave library.

Package: openrct2
Description-md5: 136f2157dc662607863d657b37a31ab7
Description-en: Open-source re-implementation of RollerCoaster Tycoon 2
 OpenRCT2 is an open-source re-implementation of RollerCoaster Tycoon 2
 (RCT2). The gameplay revolves around building and maintaining an
 amusement park containing attractions, shops and facilities. The player
 must try to make a profit and maintain a good park reputation whilst
 keeping the guests happy. OpenRCT2 allows for both scenario and sandbox
 play. Scenarios require the player to complete a certain objective in a
 set time limit whilst sandbox allows the player to build a more flexible
 park with optionally no restrictions or finance.
 .
 RollerCoaster Tycoon 2 was originally written by Chris Sawyer in x86
 assembly and is the sequel to RollerCoaster Tycoon. The engine was based
 on Transport Tycoon, an older game which also has an equivalent
 open-source project, OpenTTD. OpenRCT2 attempts to provide everything
 from RCT2 as well as many improvements and additional features, some of
 these include support for modern platforms, an improved interface,
 improved guest and staff AI, more editing tools, increased limits, and
 cooperative multiplayer. It also re-introduces mechanics from RollerCoaster
 Tycoon that were not present in RollerCoaster Tycoon 2. Some of those
 include; mountain tool in-game, the "have fun" objective, launched coasters
 (not passing-through the station) and several buttons on the toolbar.

Package: openrct2-data
Description-md5: ba13feafd937c7243870a1c8ec2b7d37
Description-en: Required game data for OpenRCT2
 This package provides the architecture-independent game assets required by
 the openrct2 executables.

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: python-pycuda-doc
Description-md5: 4b4f2b1e8b32879eefe98c99f3a598ba
Description-en: module to access Nvidia‘s CUDA computation API (documentation)
 PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
 Several wrappers of the CUDA API already exist–so what’s so special about
 PyCUDA?
  * Object cleanup tied to lifetime of objects. This idiom, often called
    RAII in C++, makes it much easier to write correct, leak- and crash-free
    code.  PyCUDA knows about dependencies, too, so (for example) it won’t
    detach from a context before all memory allocated in it is also freed.
  * Convenience. Abstractions like pycuda.driver.SourceModule and
    pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
    with Nvidia’s C-based runtime.
  * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
    disposal, if you wish.
  * Automatic Error Checking. All CUDA errors are automatically translated
    into Python exceptions.
  * Speed. PyCUDA’s base layer is written in C++, so all the niceties
    above are virtually free.
  * Helpful Documentation.
 .
 This package contains HTML documentation and example scripts.

Package: python3-amgcl
Description-md5: ecbb9c7c4315244c6b65581f6b220a1f
Description-en: Solves large sparse linear systems with algebraic multigrid method
 AMG is one of the most effective iterative methods for solution of equation
 systems arising, for example, from discretizing PDEs on unstructured grids. The
 method can be used as a black-box solver for various computational problems,
 since it does not require any information about the underlying geometry. AMG is
 often used not as a standalone solver but as a preconditioner within an
 iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
 .
 AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
 provided backends. This allows for transparent acceleration of the solution
 phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
 their own backends which enables tight integration between AMGCL and the user
 code.
 .
 This package provides the Python interface

Package: python3-astra-toolbox
Description-md5: 7f59c83f6c23c2f985b14da805dfece4
Description-en: toolbox of high-performance GPU primitives for 2D and 3D tomography (Python3)
 It supports 2D parallel and fan beam geometries, and 3D parallel and
 cone beam. All of them have highly flexible source/detector
 positioning.
 .
 A large number of 2D and 3D algorithms are available, including FBP,
 SIRT, SART, CGLS.
 .
 The basic forward and backward projection operations are
 GPU-accelerated, and directly callable from Octave and Python to
 enable building new algorithms.
 .
 This is the Python3 library.

Package: python3-pycuda
Description-md5: 4f446cb70e3ba6723eaae62a94efb36c
Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API
 PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
 Several wrappers of the CUDA API already exist–so what’s so special about
 PyCUDA?
  * Object cleanup tied to lifetime of objects. This idiom, often called
    RAII in C++, makes it much easier to write correct, leak- and crash-free
    code.  PyCUDA knows about dependencies, too, so (for example) it won’t
    detach from a context before all memory allocated in it is also freed.
  * Convenience. Abstractions like pycuda.driver.SourceModule and
    pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
    with Nvidia’s C-based runtime.
  * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
    disposal, if you wish.
  * Automatic Error Checking. All CUDA errors are automatically translated
    into Python exceptions.
  * Speed. PyCUDA’s base layer is written in C++, so all the niceties
    above are virtually free.
  * Helpful Documentation.
 .
 This package contains Python 3 modules.

Package: python3-pyvkfft-cuda
Description-md5: 57ea98ebe636a6b0393437bac86d8b5e
Description-en: Binding to the CUDA backends of VkFFT - Python3
 pyvkfft offers a simple python interface to the CUDA and OpenCL
 backends of VkFFT, compatible with pyCUDA, CuPy and pyOpenCL.
 .
 This package installs the CUDA backend.

Package: python3-rna
Description-md5: 310e3dd7fe72676202a1db1d473b4678
Description-en: ViennaRNA Python wrappers
 Python wrappers above ViennaRNA library.
 .
 The Vienna RNA Package consists of a C code library and several
 stand-alone programs for the prediction and comparison of RNA secondary
 structures

Package: r-cran-surveillance
Description-md5: c0b0bb231313eb8bbfdc0a5bb8199755
Description-en: GNU R package for the 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 Höhle 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 Höhle (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: rar
Description-md5: 649b872741c4c5402456879832c70c03
Description-en: Archiver for .rar files
 This is the RAR archiver from Eugene Roshal. It supports multiple volume
 archives and damage protection. It can also create SFX-archives. There are
 versions which run on DOS, Windows, FreeBSD, BSDI.
 .
 This program is shareware and you must register it after 40 days of use.

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: sugar-etoys-activity
Description-md5: 7c0b74a2bdb91dff8c1caed94e5f5bfb
Description-en: Etoys activity for Sugar Learning Platform
 Sugar Learning Platform promotes collaborative learning through Sugar
 Activities that encourage critical thinking, the heart of a quality
 education.  Designed from the ground up especially for children, Sugar
 offers an alternative to traditional “office-desktop” software.
 .
 Learner applications in Sugar are called Activities.  They are software
 packages that automatically save your work - producing specific
 instances of the Activity that can be resumed at a later time.  Many
 Activities support learner collaboration, where multiple learners may
 be invited to join a collective Activity session.
 .
 Squeak Etoys was inspired by LOGO, PARC-Smalltalk, Hypercard, and
 starLOGO. It is a media-rich authoring environment with a simple,
 powerful scripted object model for many kinds of objects created by
 end-users. It includes 2D and 3D graphics, images, text, particles,
 presentations, web-pages, videos, sound and MIDI, etc. It includes the
 ability to share desktops with other Etoy users in real-time, so many
 forms of immersive mentoring and play can be done over the Internet.
 .
 The Etoys activity embeds Squeak Etoys into Sugar.

Package: vienna-rna
Description-md5: cd4926e923e0b58439a80df654cba8f9
Description-en: RNA sequence analysis
 The Vienna RNA Package consists of a C code library and several
 stand-alone programs for the prediction and comparison of RNA secondary
 structures. It is developed and maintained by the group of Ivo Hofacker
 in Vienna.
 .
 RNA secondary structure prediction through energy minimization is the
 most used function in the package. It provides three kinds of dynamic
 programming algorithms for structure prediction:
  * the minimum free energy algorithm of (Zuker & Stiegler 1981) which
    yields a single optimal structure,
  * the partition function algorithm of (McCaskill 1990) which calculates
    base pair probabilities in the thermodynamic ensemble, and the
    suboptimal folding algorithm of (Wuchty et.al 1999) which generates
    all suboptimal structures within a given energy range of the optimal
    energy.
 .
 For secondary structure comparison, the package contains several
 measures of distance (dissimilarities) using either string alignment or
 tree-editing (Shapiro & Zhang 1990). Finally, is provided an algorithm
 to design sequences with a predefined structure (inverse folding).
 The RNAforester package is a tool for aligning RNA secondary structures
 and it's user interface integrates to those of the tools of the
 Vienna RNA package.

Package: virtualbox
Description-md5: 30f96d22c1a6ca04db16bdc1e79ad965
Description-en: x86 virtualization solution - base binaries
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the binaries for VirtualBox. Either the virtualbox-dkms
 or the virtualbox-source package is also required in order to compile the
 kernel modules needed for virtualbox. A graphical user interface for
 VirtualBox is provided by the package virtualbox-qt.

Package: virtualbox-dkms
Description-md5: 4d42f0fe51c4a92f2aed5071f84524ae
Description-en: x86 virtualization solution - kernel module sources for dkms
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the source code for the virtualbox kernel module to be
 build with dkms. Kernel sources or headers are required to compile this
 module.

Package: virtualbox-ext-pack
Description-md5: d34299a0a1c7bf804958800947ea531c
Description-en: extra capabilities for VirtualBox, downloader.
 VirtualBox requires an extension pack to provide support for Remote
 Desktop Protocol, USB 2.0, PXE booting for Intel network cards, etc.
 This PUEL-licensed extension pack is free for personal use.
 .
 This package downloads the extension pack from internet during install.

Package: virtualbox-guest-utils
Description-md5: 0c420aa026ad03a572b15c6e38dbebf7
Description-en: x86 virtualization solution - non-X11 guest utilities
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the non-X11 guest utilities for VirtualBox. These
 utilities are meant to be run inside the virtual machine.
 They provide closer integration and allow to share data through shared folders
 between the host system and the virtual machine.

Package: virtualbox-guest-utils-hwe
Description-md5: 085a4f5d1dd12642194b5145ef502845
Description-en: transitional package for virtualbox-guest-utils
 This is a transitional package for virtualbox-guest-utils.
 It can safely be removed

Package: virtualbox-guest-x11
Description-md5: 3487afde0b114ec7e205b11f1dd3f7a5
Description-en: x86 virtualization solution - X11 guest utilities
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the X11 guest utilities for VirtualBox. These utilities
 are meant to be run inside the virtual machine.
 They provide closer integration and improve the interactive performance.

Package: virtualbox-guest-x11-hwe
Description-md5: 8c9e024d7632d31d73627e87a4c8bf2f
Description-en: transitional package for virtualbox-guest-x11
 This is a transitional package for virtualbox-guest-x11.
 It can safely be removed

Package: virtualbox-qt
Description-md5: 41ed29f36ba23b3ce0155f9a8efcff60
Description-en: x86 virtualization solution - Qt based user interface
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the Qt based graphical user interface for VirtualBox.

Package: virtualbox-source
Description-md5: 53035ede584988f3413156cb7a5dbe8b
Description-en: x86 virtualization solution - kernel module source
 VirtualBox is a free x86 virtualization solution allowing a wide range
 of x86 operating systems such as Windows, DOS, BSD or Linux to run on a
 Linux system.
 .
 This package provides the source code for the virtualbox kernel module.
 The virtualbox package is also required in order to make use of these
 modules. Kernel sources or headers are required to compile this module.
 .
 The source is placed under /usr/src, and after decompression it can
 be built to produce a virtualbox-modules-_KVERS_ providing
 "virtualbox-modules" package.

Package: libodpic5
Description-md5: ab5d684e6cf00e24207e0ddef1bfe15f
Description-en: Oracle Database Programming Interface - runtime C shared library
 Oracle Database Programming Interface for C (ODPI-C) is an open source
 library of C code that simplifies access to Oracle Database for applications
 written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that
 makes applications and language interfaces easier to develop.
 .
 ODPI-C supports basic and advanced features of Oracle Database and Oracle
 Client. See the homepage for a list.
 .
 This package contains the C shared library needed to run programs that
 dynamically link to ODPI-C.

Package: odpic-dev
Description-md5: 49a15361421aff7972b2ab791fe2768e
Description-en: Oracle Database Programming Interface - development files
 Oracle Database Programming Interface for C (ODPI-C) is an open source
 library of C code that simplifies access to Oracle Database for applications
 written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that
 makes applications and language interfaces easier to develop.
 .
 ODPI-C supports basic and advanced features of Oracle Database and Oracle
 Client. See the homepage for a list.
 .
 This package contains the files needed to develop programs that use ODPI-C;
 including the headers, examples, and sample programs.

