73a
Package: steam-devices
Description-md5: f9b7ac135061c71ccbe81df2a894fb55
Description-en: Device support for Steam-related hardware
 This package provides udev rules for various Steam-related hardware devices
 such as the Steam Controller (gamepad) and the HTC Vive (virtual reality
 headset).

.
1,65c
Package: dwarf-fortress
Description-md5: 00a577597605da9e64ef1c32e1b595b8
Description-en: Slaves to Armok: God of Blood Chapter II: Dwarf Fortress
 Dwarf Fortress is a single-player fantasy game. You can control a
 dwarven outpost or an adventurer in a randomly generated, persistent
 world.

Package: dwarf-fortress-data
Description-md5: dae441c8b569f106a802913a4dc67316
Description-en: Dwarf Fortress data files
 Dwarf Fortress is a single-player fantasy game. You can control a
 dwarven outpost or an adventurer in a randomly generated, persistent
 world.
 .
 This package contains the game data

Package: libaccinj64-11.4
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: libcublas11
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: libcublaslt11
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: libcudart11.0
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: libcufft10
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: libcufftw10
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: libcuinj64-11.4
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: libcupti11.4
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: libcusparse11
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: libnppc11
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: libnppial11
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: libnppicc11
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: libnppidei11
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: libnppif11
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: libnppig11
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: libnppim11
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: libnppist11
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: libnppisu11
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: libnppitc11
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: libnpps11
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: libnvblas11
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: 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: libnvjpeg11
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-builtins11.4
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: libnvrtc11.2
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: 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: 3fb666316ef4562383ecd8260bc3bc9f
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.

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-openjdk-8-jre
Description-md5: 295c45af8d739220f91a54a86523e841
Description-en: Obsolete OpenJDK Java runtime, for NVIDIA applications
 Full Java runtime environment - needed for executing Java GUI and Webstart
 programs, using Hotspot JIT.
 .
 This package provides OpenJDK-8 JRE binaries built on Debian for use with
 the NVIDIA CUDA Toolkit. This obsolete version is needed for
 nvidia-visual-profiler.

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: nvidia-visual-profiler
Description-md5: c762f649b112cccddd5b9e96863b94c7
Description-en: NVIDIA Visual Profiler for CUDA and OpenCL
 The NVIDIA Visual Profiler is a cross-platform performance profiling tool
 that delivers developers vital feedback for optimizing CUDA C/C++ and OpenCL
 applications.

.
