13314a

Package: xfractint
Description-md5: 61c3738a20c978ffe1b6a4eaac35accf
Description-en: UNIX-based fractal generator
 Generate Mandelbrot, Julia, IFS, and many more fractals in 2D and 3D,
 including those you design yourself. Version 19 now supports
 arbitrary precision which allows zooming to a depth of 10^1600, as
 well as generation of random dot stereograms.
.
13026,13042d
12184,12197d
12182a

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.
.
11990,12076d
11612c
 This will provide nvidia-tesla-510-kernel-510.85.02.
.
11603c
Description-md5: d306c53669592947a6722c453cdc2933
.
11592c
 This will provide nvidia-tesla-510-kernel-510.85.02.
.
11578c
Description-md5: 2400108e287e2600ab82b52ce2624c18
.
11545,11546c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.19.
.
11527c
 for use by module-assistant.
.
11525c
 This package provides the source for the NVIDIA binary kernel modules
.
11523c
Description-md5: fb26450688307e395fb3a3cf5319afb3
.
11519,11520c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.
.
11501c
 for use by module-assistant.
.
11499c
 This package provides the source for the NVIDIA binary kernel modules
.
11497c
Description-md5: 9d5b7ee725131d9d2499abdabc5fb5f3
.
11494c
 Building the kernel modules has been tested up to Linux 5.19.
.
11475c
 for use by module-assistant.
.
11473c
 This package provides the source for the NVIDIA binary kernel modules
.
11471c
Description-md5: 183424ebb71b64bc396b474843cec64d
.
11468c
 Building the kernel modules has been tested up to Linux 5.19.
.
11449c
 This package builds the NVIDIA binary kernel modules needed by
.
11447c
Description-md5: d1e893b83c1fa84997622f3ced04720e
.
11444c
 Building the kernel modules has been tested up to Linux 5.19.
.
11425c
 This package builds the NVIDIA binary kernel modules needed by
.
11423c
Description-md5: b7ca73a129a96fa55e33b7f019b5798f
.
11420c
 Building the kernel modules has been tested up to Linux 5.19.
.
11401c
 This package builds the NVIDIA binary kernel modules needed by
.
11399c
Description-md5: 01a23046e91f2e3d5464e3c9c496161f
.
11371c
 Building the kernel module has been tested up to Linux 5.19.
.
11362c
 This will provide nvidia-tesla-510-kernel-510.85.02.
.
11353c
Description-md5: 3302bfd2012e6ef7561223f6afe8357a
.
11208c
 This will provide nvidia-tesla-510-kernel-510.85.02.
.
11193c
Description-md5: d416fe18195c9c9e19b0743d9385c601
.
11079c
 This will provide nvidia-tesla-470-kernel-470.141.03.
.
11070c
Description-md5: 9502d70d59be6edeafff17d730d931da
.
11059c
 This will provide nvidia-tesla-470-kernel-470.141.03.
.
11045c
Description-md5: 2e4bd9410aafe280acd098c5195a2224
.
11012,11013c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10992c
 for use by module-assistant.
.
10988c
Description-md5: bde3494cdebbe3f467189b3fc8db46f5
.
10984,10985c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10964c
 for use by module-assistant.
.
10960c
Description-md5: 677364f2de417f927cd4fdfefb5d346f
.
10956,10957c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10936c
 for use by module-assistant.
.
10932c
Description-md5: 3d477cd54220ad314607b6f721e82d60
.
10928,10929c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10906c
Description-md5: a79f297af609723ca580e391f78ea605
.
10902,10903c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10880c
Description-md5: 603d9bd1097fa3c7c64d1a365665e299
.
10876,10877c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10854c
Description-md5: 3669ef02176048eacf0c6eb215ac9ab2
.
10826c
 Building the kernel module has been tested up to Linux 6.0.
.
10815c
 This will provide nvidia-tesla-470-kernel-470.141.03.
.
10806c
Description-md5: 7979b682130b1679a19d9ea28125ee4e
.
10637c
 This will provide nvidia-tesla-470-kernel-470.141.03.
.
10622c
Description-md5: e5f16c5a5cc2a33496f877f4b98f5023
.
10432,10433c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10410c
Description-md5: ca95edbbb133d658d09e3a8209e235c4
.
10406,10407c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
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10384c
Description-md5: 9c8828aded339741eebb156ca9d19024
.
10380,10381c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10358c
Description-md5: 172d76667e64ec93a436d352f777b250
.
10354,10355c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10334c
Description-md5: bfab1d7ade6c1af2bcdb29899ad5380e
.
10330,10331c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10310c
Description-md5: 551244028a49e1fcae055278f06cbe90
.
10306,10307c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
10286c
Description-md5: 0b6e84db70d973643c4a53caed82c997
.
10258c
 Building the kernel module has been tested up to Linux 6.0.
.
10240c
Description-md5: 05e38899c7ca6c32d3abcfa5d6f8d17d
.
9890c
 Building the kernel modules has been tested up to Linux 6.0.
.
9867c
Description-md5: f8a7d507c529df7738a84b1f56f655e1
.
9864c
 Building the kernel modules has been tested up to Linux 6.0.
.
9841c
Description-md5: b239003130e44b509eeb7a924b51d440
.
9838c
 Building the kernel modules has been tested up to Linux 6.0.
.
9815c
Description-md5: 01db37c6e774b9f7ce417e1f2b68e10c
.
9811,9812c
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
9791c
Description-md5: c434f3c0ab98de9fe811db89e4ab988d
.
9787,9788c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
9767c
Description-md5: bc06f58ec607b09721a7088699f2fba1
.
9763,9764c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
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9743c
Description-md5: 40b411c13e18ab615d8219e4c3ae774f
.
9715c
 Building the kernel module has been tested up to Linux 6.0.
.
9697c
Description-md5: 93dc1406e516f1ad54d54f05a4aef0c8
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9421a
Package: firmware-nvidia-tesla-gsp
Description-md5: 3f151c5c845fe50a947f350b01607a27
Description-en: NVIDIA GSP firmware (Tesla version)
 The GPU System Processor (GSP) was first introduced in the Turing
 architecture and supports accelerating tasks traditionally performed
 by the driver on the CPU.
 .
 This package provides the firmware to drive the GSP.

Package: libegl-nvidia-tesla0
Description-md5: e2db07a49472d46ee0a3460e0f12a86f
Description-en: NVIDIA binary EGL library (Tesla version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-tesla-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libgl1-nvidia-tesla-glvnd-glx
Description-md5: 6365e440f7180bb36d5d503430885c78
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgles-nvidia-tesla1
Description-md5: cf367c3cc147ef0de7943da71c5d589d
Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-tesla-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-tesla2
Description-md5: aed1cdcc239a3ee9ea999c7efe4f6982
Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-tesla-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-tesla0
Description-md5: 87aaccde9704c37428e757c723173143
Description-en: NVIDIA binary GLX library (Tesla version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-tesla-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-tesla-allocator1
Description-md5: 81b613d75027dba209dd6c999fe42080
Description-en: NVIDIA allocator runtime library (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private nvidia-allocator runtime library.

Package: libnvidia-tesla-cfg1
Description-md5: c5e0820c21d79b27b035646d8040f412
Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-tesla-compiler
Description-md5: b2c3a78b69dda907574b914f41c5b1d7
Description-en: NVIDIA runtime compiler library (Tesla version)
 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 runtime compiler library.

Package: libnvidia-tesla-cuda1
Description-md5: 2e23067ed495c8595b625a92008079cc
Description-en: NVIDIA CUDA Driver Library (Tesla version)
 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 Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-tesla-kernel-dkms or
 nvidia-tesla-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-kernel-510.85.02.

Package: libnvidia-tesla-eglcore
Description-md5: 9144032e81e5a8eb598e25bca2e495e7
Description-en: NVIDIA binary EGL core libraries (Tesla version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-tesla-encode1
Description-md5: dc1eb999b5171870a061f5675b806482
Description-en: NVENC Video Encoding runtime library (Tesla version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-tesla-fbc1
Description-md5: 57f0662f7389329c031b3c513b4942fb
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-tesla-glcore
Description-md5: 177e168e93293904fa25554439de6b1a
Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-tesla-glvkspirv
Description-md5: f31a8ae72dac82b9c0a1f674838b183a
Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-tesla-ml1
Description-md5: a4a97d28c11ee0efeb3e8ae672448367
Description-en: NVIDIA Management Library (NVML) runtime library (Tesla version)
 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 nvidia-ml runtime library.

Package: libnvidia-tesla-ngx1
Description-md5: 574990a52b8accb0e2836977f3c68125
Description-en: NVIDIA NGX runtime library (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the NVIDIA NGX runtime library.

Package: libnvidia-tesla-nvcuvid1
Description-md5: 3750419d434b8c36b6adfe44d0a676c0
Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-tesla-nvoptix1
Description-md5: 702f1a5b2054c4779023ebbc2b092e40
Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla version)
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: libnvidia-tesla-nvvm4
Description-md5: 31ab01a923148c88b7aa84794e513b5d
Description-en: NVIDIA NVVM Compiler library (Tesla version)
 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 NVVM Compiler library.

Package: libnvidia-tesla-opticalflow1
Description-md5: f7b21a7e570541ce370b1f054073941a
Description-en: NVIDIA Optical Flow runtime library (Tesla version)
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-tesla-ptxjitcompiler1
Description-md5: 22a686c73699bca529d947550917ad29
Description-en: NVIDIA PTX JIT Compiler library (Tesla version)
 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 runtime PTX JIT Compiler library.

Package: libnvidia-tesla-rtcore
Description-md5: 550303e49753e14f37a69a4c61c7a07d
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: nvidia-powerd
Description-md5: f9839a172225b4979811cf62d6abfbe2
Description-en: NVIDIA Dynamic Boost (daemon)
 The 'nvidia-powerd' daemon provides support for the NVIDIA Dynamic Boost
 feature on Linux platforms. Dynamic Boost is a system-wide power controller
 which manages GPU and CPU power, according to the workload on the system. By
 shifting power between the GPU and the CPU, Dynamic Boost can deliver more
 power to the component that would benefit most from it, without impacting the
 system's total thermal and electrical budgets. This optimizes overall system
 performance per watt.

Package: nvidia-tesla-alternative
Description-md5: 0f3647e4987137e6bf80cc71109d5c42
Description-en: allows the selection of NVIDIA as GLX provider (Tesla version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-tesla-driver package instead.

Package: nvidia-tesla-driver
Description-md5: a8ee4c47e2f8a4170139a2d4eed82ec6
Description-en: NVIDIA metapackage (Tesla version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-tesla-kernel-dkms or
 nvidia-tesla-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-kernel-510.85.02.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 6.0.

Package: nvidia-tesla-driver-bin
Description-md5: db526e5cabae0e7d93d517b315fdbc08
Description-en: NVIDIA driver support binaries (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-tesla-driver-libs
Description-md5: 5dbf12877f7afc02100aa32633555d69
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-tesla-kernel-dkms
Description-md5: 7f8ce8bebb2cb130700e6cc7097f9cb8
Description-en: NVIDIA binary kernel module DKMS source (Tesla version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-dkms
Description-md5: 9ab225754b0d8b0d5d3e821e5d81a4aa
Description-en: NVIDIA binary kernel module DKMS source (Tesla version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-dkms
Description-md5: 9da78653c838da55810bbafb180de0f3
Description-en: NVIDIA binary kernel module DKMS source (Tesla version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-source
Description-md5: 5f82d79c55fca73b7bb79db218ae4d24
Description-en: NVIDIA binary kernel module source (Tesla version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-source
Description-md5: ae1ed85c591a40f57dea4240c52154cd
Description-en: NVIDIA binary kernel module source (Tesla version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-source
Description-md5: fe8d458c66c12d32992252e4c3ffd5b5
Description-en: NVIDIA binary kernel module source (Tesla version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 6.0.

Package: nvidia-tesla-kernel-support
Description-md5: b80903255018014b5ef195e8d72daa42
Description-en: NVIDIA binary kernel module support files (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-tesla-legacy-check
Description-md5: 567cc3c7a51f7d936a68d73f3fb10f7b
Description-en: check for NVIDIA GPUs requiring a legacy driver (Tesla version)
 This package checks whether the system contains NVIDIA GPUs that are no longer
 supported by the main driver line and require a legacy driver.
 .
 If such hardware is present, a (preseedable) debconf question will be asked to
 confirm the installation of the current driver line.

Package: nvidia-tesla-opencl-icd
Description-md5: e7e103b7f23051fa5411717a1e7c1fd5
Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-tesla-smi
Description-md5: 735b0a3d98bc9ffdb7dabbc36dbd01bb
Description-en: NVIDIA System Management Interface (Tesla version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-tesla-vdpau-driver
Description-md5: 5d0344ab7c6169b7e0b1d9e8cd10a477
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla version)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-tesla-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-tesla-kernel-dkms or
 nvidia-tesla-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-kernel-510.85.02.

Package: nvidia-tesla-vulkan-icd
Description-md5: be58fa4b483f6624bfd95b4f325ef46c
Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-tesla
Description-md5: 29dca8b1e1f57cc4cb1129c2f24f663b
Description-en: NVIDIA binary Xorg driver (Tesla version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-tesla-kernel-dkms or
 nvidia-tesla-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-kernel-510.85.02.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

.
9268,9269c
 i386 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
9176c
Description-md5: f40ece8fed65b8d53a94fb6d4678e471
.
9172,9173c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
9080c
Description-md5: 95b80ca56559f0869dcf1c531192c5c4
.
9076,9077c
 armhf architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
8984c
Description-md5: 4648c08ff2f28685b2bfd3919ba563bf
.
8981c
 Building the kernel modules has been tested up to Linux 6.0.
.
8890c
Description-md5: d6d01bedfff4791b491be0fa12c2cf99
.
8887c
 Building the kernel modules has been tested up to Linux 6.0.
.
8796c
Description-md5: 5c4391efd158bedf16722afa9197f79d
.
8793c
 Building the kernel modules has been tested up to Linux 6.0.
.
8702c
Description-md5: 17971dc2e889f06a585542105d6fa926
.
8652c
 Building the kernel module has been tested up to Linux 6.0.
.
8564c
Description-md5: c5579336759537843487e446914c2549
.
8311,8314c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8308c
 This will provide nvidia-kernel-510.85.02.
.
8299c
Description-md5: 93a9a566ecf9f30544deeeaad1b32362
.
8280c
 This will provide nvidia-kernel-510.85.02.
.
8266c
Description-md5: b5f2217c90cb437c4f012f1c87375ae6
.
8191,8192c
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
8182,8185c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8167c
Description-md5: 33adff7e72c90621ffeab280bad487a4
.
8163,8164c
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 6.0.
.
8154,8157c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8139c
Description-md5: 0e1fcd84d41d48de7a991964cab5eae6
.
8136c
 Building the kernel modules has been tested up to Linux 6.0.
.
8126,8129c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8113c
Description-md5: 99dd72b6c371ac3d2b5f56b5db14b001
.
8110c
 Building the kernel modules has been tested up to Linux 6.0.
.
8100,8103c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8087c
Description-md5: 184ae18d51694f8c0484655290a6241b
.
8050c
 Building the kernel module has been tested up to Linux 6.0.
.
8042,8045c
 the Maxwell, Pascal, Volta, Turing, Ampere or newer architectures.
 Look at the legacy driver or Tesla driver packages for older cards.
.
8039c
 This will provide nvidia-kernel-510.85.02.
.
8030c
Description-md5: 50268661ac236f3ad5772a0a4dbc7ee5
.
8025c
 (nvidia-driver, nvidia-tesla-driver,
 nvidia-tesla-510-driver, nvidia-tesla-470-driver,
.
8021c
Description-md5: 29b60fc556b586a579ca26bb4130e785
.
7933,7942d
7851,7861d
7753c
 This will provide nvidia-kernel-510.85.02.
.
7738c
Description-md5: 9044fde6ad20c45057277c7e1f9f660f
.
7736a
Package: firmware-nvidia-gsp
Description-md5: 662e57a0e8a9d9abcd4ca747c6e5e11f
Description-en: NVIDIA GSP firmware
 The GPU System Processor (GSP) was first introduced in the Turing
 architecture and supports accelerating tasks traditionally performed
 by the driver on the CPU.
 .
 This package provides the firmware to drive the GSP.

.
7683a
 .
 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.
.
7675c
Description-md5: 7ce75ce1d326c959ae1d41d38407d4e7
.
7546,7556c

Package: libnvrtc-builtins11.6
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.
.
7343,7353c
Package: libcupti11.6
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.

.
7310,7320c
Package: libcuinj64-11.6
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.

.
7228,7238c
Package: libaccinj64-11.6
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.

.
7157a
Package: nvda2speechd
Description-md5: ca3b7f97241b7d3b299379d498d1d38f
Description-en: Bridge between Windows applications and Speech dispatcher
 It is already possible to use SAPI in Wine, however, the default Microsoft
 voices are not particularly responsive or diverse in terms of supported
 languages, and installing others and configuring them can be challenging
 without sighted assistance.
 .
 nvda2speechd is a bridge, which can link applications capable of speaking
 through NVDA right into Speech dispatcher installed on the user's computer.
 .
 This contains the server part, to be started before the Windows applications.

Package: nvdacontrollerclient
Description-md5: cc1ee092e3a0e5b2ebdabbe82c54837d
Description-en: Bridge between Windows applications and Speech dispatcher
 It is already possible to use SAPI in Wine, however, the default Microsoft
 voices are not particularly responsive or diverse in terms of supported
 languages, and installing others and configuring them can be challenging
 without sighted assistance.
 .
 nvda2speechd is a bridge, which can link applications capable of speaking
 through NVDA right into Speech dispatcher installed on the user's computer.
 .
 This contains the nvda controller replacement library.

.
7115,7123c
Package: nautilus-dropbox
Description-md5: 85e5cddde3122eacecafcf7a889463fe
Description-en: Dropbox integration for Nautilus
 Nautilus Dropbox is an extension that integrates the Dropbox web service with
 your GNOME Desktop.
 .
 Installing this package will download the proprietary dropbox binary
 from dropbox.com.

.
5933a
Package: intel-mkl
Description-md5: 8b72c948785fe1aeb3a929adec45447e
Description-en: Intel® Math Kernel Library (Intel® MKL)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 This package pulls the basic set of development files and libraries of MKL
 in the present architecture. Cluster support is not included.
 .
 Note that MKL's performance on AMD CPUs is not guaranteed.

Package: intel-mkl-cluster
Description-md5: 7ae294d0c470a4f8bcd9187f569eb4a6
Description-en: Intel® Math Kernel Library (Intel® MKL) (Cluster)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 This package pulls the development files and libraries of MKL in the present
 architecture, including Cluster support.

Package: intel-mkl-doc
Description-md5: 09c0cb0107c491e683375ae6a7634e2d
Description-en: Intel® Math Kernel Library (Intel® MKL) (Doc)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 This package ships several document files, but not a complete copy of MKL doc.
 Please go to the homepage for the full documentation.
 https://software.intel.com/en-us/mkl

Package: intel-mkl-full
Description-md5: 4db7d0a921c62dda8dde03a50ba72390
Description-en: Intel® Math Kernel Library (Intel® MKL) (Full)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 This package pulls the full version of MKL, including several i386 packages.

Package: intel-mkl-linktool
Description-md5: ff1fe51b7c6d037c40fc0e711afb6739
Description-en: Intel® Math Kernel Library (Intel® MKL) Link Tool v4.7
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package provides a command line tool which suggests compiler argument
 for linking against MKL.

Package: libmkl-avx
Description-md5: 5620350ea104e3f8f8b19c8486f2fe9d
Description-en: Intel® MKL: Kernel library for Intel® AVX enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for Intel® Advanced Vector
 Extensions (Intel® AVX) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-avx2
Description-md5: 24315c30c7e149f12e8683b9208ee479
Description-en: Intel® MKL: Kernel library for Intel® AVX2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for Intel® Advanced Vector
 Extensions 2 (Intel® AVX2) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-avx512
Description-md5: e58b3a8857dbd2e5879bf2e3436c3ed0
Description-en: Intel® MKL: Kernel library for Intel® AVX-512 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for dispatching Intel® Advanced
 Vector Extensions 512 (Intel® AVX-512) on Intel® Xeon® processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-avx512-mic
Description-md5: 0c0710e53c5d39b010da1a35f605becf
Description-en: Intel® MKL : Kernel library for Intel® AVX-512 Xeon Phi™ processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for dispatching Intel® Advanced
 Vector Extensions 512 (Intel® AVX-512) on Intel® Xeon Phi™ processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-blacs-intelmpi-ilp64
Description-md5: 6107110f95d93911f8b073bc6738316c
Description-en: Intel® MKL : ILP64 BLACS routines for Intel® MPI and MPICH2+
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ILP64 version of BLACS routines for Intel® MPI Library
 and MPICH2 or higher.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-blacs-intelmpi-lp64
Description-md5: 5953411fdfc89931bed8382b0d316afc
Description-en: Intel® MKL : LP64 BLACS routines for Intel® MPI and MPICH2+
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains LP64 version of BLACS routines for Intel® MPI Library
 and MPICH2 or higher.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-blacs-openmpi-ilp64
Description-md5: 574f22f00275fe16a4f30d81d5c5f94b
Description-en: Intel® MKL : ILP64 version of BLACS routines for Open MPI
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ILP64 version of BLACS routines for Open MPI.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-blacs-openmpi-lp64
Description-md5: 75061c02724e0b802cdb409b4c9c47a7
Description-en: Intel® MKL : LP64 version of BLACS routines for Open MPI
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains LP64 version of BLACS routines for Open MPI.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-blacs-sgimpt-ilp64
Description-md5: 4b5d1701b3919b8f191beeefe40474f3
Description-en: Intel® MKL : ILP64 version of BLACS routines for SGI MPT
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ILP64 version of BLACS routines for SGI MPT.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-blacs-sgimpt-lp64
Description-md5: 5d968ccc6dde921e07c395b25c1a038f
Description-en: Intel® MKL : LP64 version of BLACS routines for SGI MPI Toolkit
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains LP64 version of BLACS routines for SGI MPI Toolkit.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-cdft-core
Description-md5: cc6c8beaa7d1cff34a31b90a966917c7
Description-en: Intel® MKL : Cluster version of FFT functions
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Cluster version of FFT functions.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-cluster-dev
Description-md5: cdd9e26eea705c2e6dc7a7caa7d60999
Description-en: Static libs of intel-MKL: Cluster
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package ships the static libraries for Cluster.

Package: libmkl-computational-dev
Description-md5: bb024205a8edbac7a3c061ddcfaa5def
Description-en: Static libs of intel-MKL: Computational Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package ships the static libraries of Computational Layer.

Package: libmkl-core
Description-md5: d4113ee8f2ea4836929a77e037a01cb0
Description-en: Intel® MKL: Library dispatcher of Computational Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Library dispatcher for dynamic load of
 processor-specific kernel.
 It belongs to the Computational Layer of MKL.

Package: libmkl-def
Description-md5: 8bbe405dc25030f031bcc19659345b8d
Description-en: Intel® MKL: Default kernel library
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Default kernel library.
 It belongs to the Computational Layer of MKL.

Package: libmkl-dev
Description-md5: 25975add6311dfb7c226a01c3f16e694
Description-en: Intel® Math Kernel Library (Intel® MKL) (Dev)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 This package pulls the headers of MKL.

Package: libmkl-full-dev
Description-md5: bc6b0118a71397e384dac9cb42427f8c
Description-en: Intel® Math Kernel Library (Intel® MKL) (Full Version Dev)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance. The library provides Fortran and C programming language
 interfaces. Intel® MKL C language interfaces can be called from applications
 written in either C or C++, as well as in any other language that can
 reference a C interface.
 .
 Intel® MKL provides comprehensive functionality support in these major areas
 of computation:
 .
  * BLAS (level 1, 2, and 3) and LAPACK linear algebra routines, offering
    vector, vector-matrix, and matrix-matrix operations.
  * ScaLAPACK distributed processing linear algebra routines, as well as the
    Basic Linear Algebra Communications Subprograms (BLACS) and the Parallel
    Basic Linear Algebra Subprograms (PBLAS).
  * Intel® MKL PARDISO (a direct sparse solver based on Parallel Direct Sparse
    Solver PARDISO*), an iterative sparse solver, and supporting sparse BLAS
    (level 1, 2, and 3) routines for solving sparse systems of equations, as
    well as a distributed version of Intel® MKL PARDISO solver provided for
    use on clusters.
  * Fast Fourier transform (FFT) functions in one, two, or three dimensions
    with support for mixed radices (not limited to sizes that are powers of 2),
    as well as distributed versions of these functions provided for use on
    clusters.
  * Vector Mathematics (VM) routines for optimized mathematical operations
    on vectors.
  * Vector Statistics (VS) routines, which offer high-performance vectorized
    random number generators (RNG) for several probability distributions,
    convolution and correlation routines, and summary statistics functions.
  * Data Fitting Library, which provides capabilities for spline-based
    approximation of functions, derivatives and integrals of functions, and
    search.
  * Extended Eigensolver, a shared memory programming (SMP) version of an
    eigensolver based on the Feast Eigenvalue Solver.
  * Deep Neural Network (DNN) primitive functions with C language interface.
 .
 This package pulls all the header files, static and shared objects of MKL.

Package: libmkl-gf
Description-md5: b55fe58c1adb9dbf2741933023fcd4bd
Description-en: Intel® MKL: (ia32) Interface library for the GNU Fortran compiler
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Interface library for the GNU Fortran compiler.
 It belongs to the Interface Layer of MKL.

Package: libmkl-gf-ilp64
Description-md5: a94da48fc6172bc728dd6423b4dd9bd1
Description-en: Intel® MKL: ILP64 interface library for the GNU Fortran compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ILP64 interface library for the GNU Fortran compilers.
 It belongs to the Interface Layer of MKL.

Package: libmkl-gf-lp64
Description-md5: bb3844678bce54d6fb093a8f8b580a99
Description-en: Intel® MKL: LP64 interface library for the GNU Fortran compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains LP64 interface library for the GNU Fortran compilers.
 It belongs to the Interface Layer of MKL.

Package: libmkl-gnu-thread
Description-md5: 3f83d3043ff323703c367ccfd541bdfe
Description-en: Intel® MKL: OpenMP threading library for GNU Fortran/C compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains OpenMP threading library for the GNU Fortran/C compilers.
 It belongs to the Threading Layer of MKL.

Package: libmkl-intel
Description-md5: a470390dd5d65527b1e94bd2f6be9766
Description-en: Intel® MKL: (ia32) Interface library for the Intel® compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Interface library for the Intel® compilers. Also use for
 other supported compilers that do not have a specialized Intel® MKL interface
 library.
 It belongs to the Interface Layer of MKL.

Package: libmkl-intel-ilp64
Description-md5: 71e31bdf1557dd6d6c9c2711b6470db2
Description-en: Intel® MKL: ILP64 interface library for the Intel® compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ILP64 interface library for the Intel® compilers. Also
 use for other supported compilers that do not have a specialized Intel® MKL
 interface library.
 It belongs to the Interface Layer of MKL.

Package: libmkl-intel-lp64
Description-md5: aaac428ce4bb0a8931edbc491948bd1a
Description-en: Intel® MKL: LP64 interface library for the Intel® compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains LP64 interface library for the Intel® compilers. Also
 use for other supported compilers that do not have a specialized Intel® MKL
 interface library.
 It belongs to the Interface Layer of MKL.

Package: libmkl-intel-thread
Description-md5: d389c8a94f6d2f45c3e8ec773d8b77e8
Description-en: Intel® MKL: OpenMP threading library for the Intel® compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains OpenMP threading library for the Intel® compilers.
 It belongs to the Threading Layer of MKL.

Package: libmkl-interface-dev
Description-md5: a465961a0e7f21f789d1582491dfd870
Description-en: Static libs of intel-MKL: Interface Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package ships the static libraries of Interface Layer.

Package: libmkl-locale
Description-md5: 17dcbf6a56837753d936889a187a6a37
Description-en: Intel® MKL: Locale Files Used by All Shared Objects
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package ships the message catalog file for shared objects from MKL.

Package: libmkl-mc
Description-md5: 2afa04c8014685928ce53186fda73f39
Description-en: Intel® MKL: Kernel library for Intel® SSSE3 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for Intel® Supplemental Streaming
 SIMD Extensions 3 (Intel® SSSE3) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-mc3
Description-md5: 35b6356886df33eb86955ef6e171f686
Description-en: Intel® MKL: Kernel library for Intel® SSE4.2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Kernel library for Intel® Streaming SIMD
 Extensions 4.2 (Intel® SSE4.2) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-meta-cluster
Description-md5: 0c9a2ab67aafe65b887f9526df007fb8
Description-en: Metapackage for Intel-MKL: Shared Object for Cluster
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package pulls shared objects for Cluster support.

Package: libmkl-meta-computational
Description-md5: bd9e6480e8838da1048fcf4e25960eef
Description-en: Metapackage of intel-MKL: Shared Objects for Computaional Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package pulls shared objects in the Computational Layer.

Package: libmkl-meta-interface
Description-md5: 4792f6ab27ebd9131875f0a89ed40868
Description-en: Metapackage of intel-MKL: Shared Objects of Interface Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package pulls shared objects in the Interface Layer.

Package: libmkl-meta-threading
Description-md5: 366ee90dfa1f0cdbe163a52e6479ceda
Description-en: Metapackage of intel-MKL: Shared Objects of Threading Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package pulls shared objects in the Threading Layer.

Package: libmkl-p4
Description-md5: 8c81afec16d4aa7489adec242c773f25
Description-en: Intel® MKL : Pentium 4 processor kernel library
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Pentium® 4 processor kernel library.
 It belongs to the Computational Layer of MKL.

Package: libmkl-p4m
Description-md5: 924a59b8eaa98106144cd12332226619
Description-en: Intel® MKL : Kernel library for Intel® SSSE3 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Kernel library for Intel® Supplemental Streaming SIMD
 Extensions 3 (Intel® SSSE3) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-p4m3
Description-md5: 49d4b8dcfe343a00f1693e67b5e9c420
Description-en: Intel® MKL : Kernel library for Intel® SSE4.2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Kernel library for Intel® Streaming SIMD Extensions 4.2
 (Intel® SSE4.2) enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-pgi-thread
Description-md5: bf73d464c54b7f764f70f9a8fb49a856
Description-en: Intel® MKL: OpenMP threading library for the PGI compiler
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains OpenMP threading library for the PGI compiler.
 It belongs to the Threading Layer of MKL.

Package: libmkl-rt
Description-md5: 044b38cc68b953ba96716df3d1493bbd
Description-en: Intel® MKL: Single Dynamic Library (SDL)
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Single Dynamic Library (SDL) of MKL.

Package: libmkl-scalapack-ilp64
Description-md5: fdef8529e11bc6fe0382bf5fe33e0caf
Description-en: Intel® MKL : ScaLAPACK routine library supporting ILP64 interface
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ScaLAPACK routine library supporting ILP64 interface.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-scalapack-lp64
Description-md5: 794f0c627dd99ee56b65649fe5356b0e
Description-en: Intel® MKL : ScaLAPACK routine library supporting LP64 interface
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains ScaLAPACK routine library supporting the LP64 interface.
 It belongs to the Cluster Libraries of MKL.

Package: libmkl-sequential
Description-md5: 9328bd3d5e45d3ce5d80b39e67abeabb
Description-en: Intel® MKL: Sequential library
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Sequential library.
 It belongs to the Threading Layer of MKL.

Package: libmkl-tbb-thread
Description-md5: 46d54e29b0622abf076cc7ce9ea7cff5
Description-en: Intel® MKL: Intel® TBB threading library for the Intel® compilers
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Intel® TBB threading library for the Intel® compilers.
 It belongs to the Threading Layer of MKL.

Package: libmkl-threading-dev
Description-md5: 6ff230b8491925d8ae35ddbf92201894
Description-en: Static libs of intel-MKL: Threading Layer
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package ships the static libraries of Threading Layer.

Package: libmkl-vml-avx
Description-md5: 490ed784e9b2fb37e9f393123bddba1a
Description-en: Intel® MKL : VM/VS/DF optimized for Intel® AVX enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF optimized for Intel® AVX enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-avx2
Description-md5: 45fc1a9c869579451a83086ae0cf8431
Description-en: Intel® MKL : VM/VS/DF optimized for Intel® AVX2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF optimized for Intel® AVX2 enabled processors
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-avx512
Description-md5: 97201f004405432abee4b4c0c0e50dac
Description-en: Intel® MKL : VM/VS/DF optimized for AVX-512 on Xeon® processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF optimized for Intel® AVX-512 on
 Intel® Xeon® processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-avx512-mic
Description-md5: de37ffb548d0340d27992b277aa61402
Description-en: Intel® MKL : VM/VS/DF optimized for AVX-512 on Xeon Phi™ processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF optimized for Intel® AVX-512 on
 Intel® Xeon Phi™ processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-cmpt
Description-md5: 15783cc84a8c71fec1e82cd841a30100
Description-en: Intel® MKL : VM/VS/DF for conditional numerical reproducibility
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF library for conditional numerical
 reproducibility.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-def
Description-md5: 066b0091313adfe935dc3950211746e0
Description-en: Intel® MKL : VM/VS/DF part of default kernels
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the Vector Mathematics (VM)/Vector Statistics (VS)/Data
 Fitting (DF) part of default kernels.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-ia
Description-md5: c92e9e3b4406586031d041288be2e738
Description-en: Intel® MKL : VM/VS/DF default kernel for newer Intel® architecture
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains VM/VS/DF default kernel for newer Intel® architecture
 processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-mc
Description-md5: 911d7ea2f4b111febbe8dedcad84891d
Description-en: Intel® MKL : VM/VS/DF for Intel® SSSE3 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF for Intel® SSSE3 enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-mc2
Description-md5: d8a9772abf2451ee31322c52348320ae
Description-en: Intel® MKL : VM/VS/DF for 45nm Hi-k Core™2 and Xeon® processor
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF for 45nm Hi-k Intel® Core™2 and
 Intel® Xeon® processor families.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-mc3
Description-md5: 4fcac98f014e31b75b7786a4bf6c33cb
Description-en: Intel® MKL : VM/VS/DF for Intel® SSE4.2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains the VM/VS/DF for Intel® SSE4.2 enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-p4
Description-md5: 5f01eed01fef0cc89f41f087102a7de3
Description-en: Intel® MKL : VM/VS/DF part of Pentium 4 processor kernel
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains Vector Mathematics (VM)/Vector Statistics (VS)/Data
 Fitting (DF) part of Pentium® 4 processor kernel.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-p4m
Description-md5: ff356e835592ce0a6199dd71340354bc
Description-en: Intel® MKL : VM/VS/DF for Intel® SSSE3 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains VM/VS/DF for Intel® SSSE3 enabled processors.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-p4m2
Description-md5: fd88231194ef9636ea11f235d57027a2
Description-en: Intel® MKL : VM/VS/DF for 45nm Hi-k Core™2 and Intel® Xeon® processor
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains VM/VS/DF for 45nm Hi-k Intel® Core™2 and Intel® Xeon
 processor families.
 It belongs to the Computational Layer of MKL.

Package: libmkl-vml-p4m3
Description-md5: 2514449ca4cf5507c7465b5ec7b4d6f5
Description-en: Intel® MKL : VM/VS/DF for Intel® SSE4.2 enabled processors
 Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
 optimized, extensively threaded routines for applications that require
 maximum performance.
 .
 This package contains VM/VS/DF for Intel® SSE4.2 enabled processors.
 It belongs to the Computational Layer of MKL.

.
5841a
Package: hijra-applet
Description-md5: 67891ab343328c9ed3650b4a24bc7622
Description-en: Hijri Islamic Calendar tray applet
 Hijri Tray Applet for GNOME (also works with KDE) that uses Hijra Algorithm by
 Muayyad Saleh Alsadi provided by python-hijra package.
 .
 This algorithm is based on integer operations which that there is no round
 errors (given accurate coefficients) the accuracy of this algorithm is based
 on 3 constants (p, q and a) where p/q is the full months percentage [ gcd(p,q)
 must be 1 ] currently it is set to 191/360 which mean that there is 191 months
 having 30 days in a span of 360 years, other months are 29 days, and a is just
 a shift.

Package: python3-hijra
Description-md5: 9cd24a53532391a30f689b85fda09329
Description-en: Hijri Islamic Calendar converting functions for Python
 Hijri Islamic Calendar converting functions, based on an enhanced algorithm
 designed by Muayyad Saleh Alsadi.
 It can be used to implement applications, gdesklets or karamba ..etc
 .
 This algorithm is based on integer operations which that there is no round
 errors (given accurate coefficients) the accuracy of this algorithm is based
 on 3 constants (p, q and a) where p/q is the full months percentage [ gcd(p,q)
 must be 1 ] currently it is set to 191/360 which mean that there is 191 months
 having 30 days in a span of 360 years, other months are 29 days, and a is just
 a shift.

.
5755a
Package: google-android-sources-33-installer
Description-md5: 7423c876ca80a9ecf9b70b55daa1d05c
Description-en: Google's 'Sources for Android 33' Installer
 This package will download the Google's Sources for Android 33 package and
 unpacks it into Debian-friendly paths.
 .
 WARNING: Installing this Debian package causes sources-33_r01.zip (49 MB)
 to be downloaded from dl.google.com and/or from other suggested mirrors. The
 End User License Agreement of this binary package is available at
 developer.android.com.

.
5553c
 WARNING: Installing this Debian package causes platform-tools_r33.0.3-linux.zip
.
5538c
Description-md5: 64d7ab45a02d0521c92e31c5d5d56daa
.
5487c
 WARNING: Installing this Debian package causes platform-TiramisuPrivacySandbox_r08.zip (67 MB)
.
5478c
Description-md5: b2ec6cc56294f6752e21e072293696c6
.
5102a
Package: google-android-ndk-r25b-installer
Description-md5: ec74b6d7026c9ae74ecc6d6c49921037
Description-en: Google's NDK (Side by side) 25.1.8937393 Installer
 This package will download the Google's NDK (Side by side) 25.1.8937393
 package and unpacks it into Debian-friendly paths.
 .
 The Android Native Development Kit (NDK) is a toolset that lets you implement
 parts of your app using native-code languages such as C and C++. For certain
 types of apps, this can help you reuse existing code libraries written in
 those languages.
 .
 WARNING: Installing this Debian package causes
 android-ndk-r25b-linux.zip (530 MB) to be
 downloaded from dl.google.com and/or from other suggested mirrors. The End
 User License Agreement of this binary package is available at
 developer.android.com.

.
4765c
 desktop-head-unit-linux-x64_r02.0.zip (6 MB) to be downloaded from
.
4751c
Description-md5: 15b79054aa9a2bbb7fed5cf811caa35c
.
4745,4746c
 WARNING: Installing this Debian package causes emulator-linux_x64-9189900.zip
 (293 MB) to be downloaded from dl.google.com and/or from other
.
4735c
Description-md5: 8392ded777f1d454200e19e9b0e52bb9
.
4100a
Package: libretro-genesisplusgx
Description-md5: 571581827de0d10678e740c75e9bba61
Description-en: Libretro wrapper for Genesis Plus GX
 This wrapper makes Genesis Plus GX API compatible with libretro, thus allowing
 its use with libretro frontends, such as RetroArch.
 .
 Genesis Plus GX is a Sega 8/16 bit emulator focused on accuracy and
 portability. Initially ported and developed on Gamecube / Wii consoles
 only through libogc / devkitPPC, it is now available on many other platforms
 through various frontends.
 .
 The source code, originally based on Genesis Plus 1.3 by Charles MacDonald, has
 been heavily modified & enhanced, with respect to initial goals and design, in
 order to improve the accuracy of emulation, implementing new features and
 adding support for extra peripherals, cartridge & systems hardware.
 .
 The result is that Genesis Plus GX is now more a continuation of the original
 project than a simple port, providing very accurate emulation and 100%
 compatibility with Genesis / Mega Drive, Sega/Mega CD, Master System, Game Gear
 & SG-1000 released software (including all unlicensed or pirate known dumps),
 also emulating backwards compatibility modes when available.

.
3709a
  * Realtek RTL8852C firmware, version v0.27.56.1
    (rtw89/rtw8852c_fw.bin)
.
3625a
  * Realtek RTL8852BU Bluetooth config (rtl_bt/rtl8852bu_config.bin)
  * Realtek RTL8852BU Bluetooth firmware (rtl_bt/rtl8852bu_fw.bin)
  * Realtek RTL8852CU Bluetooth config (rtl_bt/rtl8852cu_config.bin)
  * Realtek RTL8852CU Bluetooth firmware (rtl_bt/rtl8852cu_fw.bin)
.
3589c
Description-md5: cf5c76f70ffbb08cb8ebbc6a725e4699
.
3573a
  * QLogic QL45000 series firmware, version 8.59.1.0
    (qed/qed_init_values_zipped-8.59.1.0.bin)
.
3560,3561d
3558d
3554,3555d
3547c
Description-md5: dc3d11f640bef626d398026db3c7969f
.
3544d
3491,3542c
  * Qualcomm Venus 1.8 firmware (qcom/venus-1.8/venus.mbn,
    qcom/venus-1.8/venus.mdt)
  * Qualcomm Venus 4.2 firmware (qcom/venus-4.2/venus.mbn,
    qcom/venus-4.2/venus.mdt)
  * Qualcomm Venus 5.2 firmware (qcom/venus-5.2/venus.mbn,
    qcom/venus-5.2/venus.mdt)
  * Qualcomm Venus 5.4 firmware (qcom/venus-5.4/venus.mbn,
    qcom/venus-5.4/venus.mdt)
  * Qualcomm Venus VPU-1.0 firwmare (qcom/vpu-1.0/venus.mbn,
    qcom/vpu-1.0/venus.mdt)
.
3475a
  * Qualcomm Adreno 200 (leia) PFP firmware (qcom/leia_pfp_470.fw)
  * Qualcomm Adreno 200 (leia) PM4 firmware (qcom/leia_pm4_470.fw)
  * Qualcomm Adreno 530 APQ8096 ZAP firmware (qcom/apq8096/a530_zap.mbn,
    qcom/a530_zap.mdt)
  * Qualcomm APQ8096 audio firmware (qcom/apq8096/adsp.mbn)
  * Qualcomm APQ8096 audio configuration (qcom/apq8096/adspr.jsn)
  * Qualcomm APQ8096 audio configuration (qcom/apq8096/adspua.jsn)
  * Qualcomm APQ8096 modem firmware (qcom/apq8096/mba.mbn)
  * Qualcomm APQ8096 modem firmware (qcom/apq8096/modem.mbn)
  * Qualcomm APQ8096 modem configuration (qcom/apq8096/modemr.jsn)
  * Lenovo X13s audio DSP configuration
    (qcom/sc8280xp/LENOVO/21BX/adspr.jsn)
  * Lenovo X13s audio DSP configuration
    (qcom/sc8280xp/LENOVO/21BX/adspua.jsn)
  * Lenovo X13s battery management configuration
    (qcom/sc8280xp/LENOVO/21BX/battmgr.jsn)
  * Lenovo X13s compute DSP configuration
    (qcom/sc8280xp/LENOVO/21BX/cdspr.jsn)
  * Lenovo X13s remoteproc audio DSP firmware
    (qcom/sc8280xp/LENOVO/21BX/qcadsp8280.mbn)
  * Lenovo X13s remoteproc compute DSP firmware
    (qcom/sc8280xp/LENOVO/21BX/qccdsp8280.mbn)
  * Lenovo X13s Adreno ZAP firmware
    (qcom/sc8280xp/LENOVO/21BX/qcdxkmsuc8280.mbn)
  * Lenovo X13s sensor DSP firmware
    (qcom/sc8280xp/LENOVO/21BX/qcslpi8280.mbn)
.
3464,3467d
3461a
  * Qualcomm Adreno 330 PFP firmware (qcom/a330_pfp.fw)
  * Qualcomm Adreno 330 PM4 firmware (qcom/a330_pm4.fw)
  * Qualcomm Adreno 420 PFP firmware (qcom/a420_pfp.fw)
  * Qualcomm Adreno 420 PM4 firmware (qcom/a420_pm4.fw)
.
3455c
Description-md5: abf4da911baf123d9f6f24ebca3062f4
.
3293a
  * Silicon Labs WF200 firmware, version 3.12.1 (wfx/wfm_wf200_C0.sec)
.
3277,3278d
2950a
  * nvidia/ga102/acr/ucode_ahesasc.bin
  * nvidia/ga102/acr/ucode_asb.bin
  * nvidia/ga102/acr/ucode_unload.bin
  * nvidia/ga102/gr/fecs_bl.bin
  * nvidia/ga102/gr/fecs_sig.bin
  * nvidia/ga102/gr/gpccs_bl.bin
  * nvidia/ga102/gr/gpccs_sig.bin
  * nvidia/ga102/gr/NET_img.bin
  * nvidia/ga102/nvdec/scrubber.bin
  * nvidia/ga102/sec2/desc.bin
  * nvidia/ga102/sec2/hs_bl_sig.bin
  * nvidia/ga102/sec2/image.bin
  * nvidia/ga102/sec2/sig.bin
  * nvidia/ga103/gr/fecs_bl.bin
  * nvidia/ga103/gr/fecs_sig.bin
  * nvidia/ga103/gr/gpccs_bl.bin
  * nvidia/ga103/gr/gpccs_sig.bin
  * nvidia/ga103/gr/NET_img.bin
  * nvidia/ga104/gr/fecs_bl.bin
  * nvidia/ga104/gr/fecs_sig.bin
  * nvidia/ga104/gr/gpccs_bl.bin
  * nvidia/ga104/gr/gpccs_sig.bin
  * nvidia/ga104/gr/NET_img.bin
  * nvidia/ga106/gr/fecs_bl.bin
  * nvidia/ga106/gr/fecs_sig.bin
  * nvidia/ga106/gr/gpccs_bl.bin
  * nvidia/ga106/gr/gpccs_sig.bin
  * nvidia/ga106/gr/NET_img.bin
  * nvidia/ga107/gr/fecs_bl.bin
  * nvidia/ga107/gr/fecs_sig.bin
  * nvidia/ga107/gr/gpccs_bl.bin
  * nvidia/ga107/gr/gpccs_sig.bin
  * nvidia/ga107/gr/NET_img.bin
.
2928c
  * MediaTek MT7921 firmware, version 20220908211021
.
2926c
  * MediaTek MT7921 hdr firmware, version 20220908210919a
.
2924c
  * MediaTek MT7922 firmware, version 20220908203253
.
2922c
  * MediaTek mt8186 SCP firmware, version v0.0.9
    (mediatek/mt8186/scp.img)
  * MediaTek mt8195 SCP firmware, version v2.0.11956
    (mediatek/mt8195/scp.img)
  * MediaTek MT7922 hdr firmware, version 20220908203203a
.
2896a
  * MediaTek MT7922 bluetooth firmware, version 20220908211234
    (mediatek/BT_RAM_CODE_MT7922_1_1_hdr.bin)
.
2895c
  * MediaTek MT7961 bluetooth firmware, version 20220908211234
.
2886c
    (intel/ice/ddp/ice-1.3.30.0.pkg, intel/ice/ddp/ice.pkg)
.
2884c
    (intel/ice/ddp-comms/ice_comms-1.3.31.0.pkg)
.
2880a
  * Intel "Tiger Lake" HuC firmware, version 7.9.3 (i915/tgl_huc.bin)
.
2872a
  * Intel "Tiger Lake" GuC firmware, version 69.0.3
    (i915/tgl_guc_69.0.3.bin)
  * Intel "Tiger Lake" GuC firmware, version 70.1.1
    (i915/tgl_guc_70.1.1.bin)
  * Intel "Tiger Lake" GuC firmware, version 70.5.1
    (i915/tgl_guc_70.bin)
.
2849a
  * Intel "Skylake" GuC firmware, version 69.0.3
    (i915/skl_guc_69.0.3.bin)
  * Intel "Skylake" GuC firmware, version 70.1.1
    (i915/skl_guc_70.1.1.bin)
.
2824a
  * Intel "Kabylake" GuC firmware, version 69.0.3
    (i915/kbl_guc_69.0.3.bin)
  * Intel "Kabylake" GuC firmware, version 70.1.1
    (i915/kbl_guc_70.1.1.bin)
.
2809a
  * Intel "Icelake" GuC firmware, version 69.0.3
    (i915/icl_guc_69.0.3.bin)
  * Intel "Icelake" GuC firmware, version 70.1.1
    (i915/icl_guc_70.1.1.bin)
.
2793a
  * Intel "Geminilake" GuC firmware, version 69.0.3
    (i915/glk_guc_69.0.3.bin)
  * Intel "Geminilake" GuC firmware, version 70.1.1
    (i915/glk_guc_70.1.1.bin)
.
2781a
  * Intel "Elkhart Lake" GuC firmware, version 69.0.3
    (i915/ehl_guc_69.0.3.bin)
  * Intel "Elkhart Lake" GuC firmware, version 70.1.1
    (i915/ehl_guc_70.1.1.bin)
.
2775a
  * Intel DG1 HUC firmware, version 7.9.3 (i915/dg1_huc.bin)
  * Intel DG2 GuC firmware, version 70.1.2 (i915/dg2_guc_70.1.2.bin)
  * Intel DG2 GuC firmware, version 70.4.1 (i915/dg2_guc_70.4.1.bin)
  * Intel DG2 GuC firmware, version 70.5.1 (i915/dg2_guc_70.bin)
  * Intel DG2 DMC firmware, version 2.06 (i915/dg2_dmc_ver2_06.bin)
  * Intel DG2 DMC firmware, version 2.07 (i915/dg2_dmc_ver2_07.bin)
.
2773a
  * Intel DG1 GuC firmware, version 69.0.3 (i915/dg1_guc_69.0.3.bin)
  * Intel DG1 GuC firmware, version 70.1.1 (i915/dg1_guc_70.1.1.bin)
  * Intel DG1 GuC firmware, version 70.5.1 (i915/dg1_guc_70.bin)
.
2766a
  * Intel "Comet Lake" GuC firmware, version 69.0.3
    (i915/cml_guc_69.0.3.bin)
  * Intel "Comet Lake" GuC firmware, version 70.1.1
    (i915/cml_guc_70.1.1.bin)
.
2752a
  * Intel "Broxton" GuC firmware, version 69.0.3
    (i915/bxt_guc_69.0.3.bin)
  * Intel "Broxton" GuC firmware, version 70.1.1
    (i915/bxt_guc_70.1.1.bin)
.
2740a
  * Intel ADL-P GuC firmware, version 69.0.3 (i915/adlp_guc_69.0.3.bin)
  * Intel ADL-P GuC firmware, version 70.1.1 (i915/adlp_guc_70.1.1.bin)
  * Intel ADL-P GuC firmware, version 70.5.1 (i915/adlp_guc_70.bin)
.
2738,2739c
  * Intel ADL-P DMC firmware, version 2.09 (i915/adlp_dmc_ver2_09.bin)
  * Intel ADL-P DMC firmware, version 2.10 (i915/adlp_dmc_ver2_10.bin)
  * Intel ADL-P DMC firmware, version 2.12 (i915/adlp_dmc_ver2_12.bin)
  * Intel ADL-P DMC firmware, version 2.14 (i915/adlp_dmc_ver2_14.bin)
  * Intel ADL-P DMC firmware, version 2.16 (i915/adlp_dmc_ver2_16.bin)
.
2690c
  * Chelsio T6 firmware, version 1.27.0.0 (cxgb4/t6fw-1.27.0.0.bin,
.
2688c
  * Chelsio T5 firmware, version 1.27.0.0 (cxgb4/t5fw-1.27.0.0.bin,
.
2686c
  * Chelsio T4 firmware, version 1.27.0.0 (cxgb4/t4fw-1.27.0.0.bin,
.
2648c
Description-md5: 44eee21f26f0f9090dc2db389b985708
.
2549a
  * Intel Wireless (SO-A0-GF-A0) firmware, version 71.058653f6.0
    (iwlwifi-so-a0-gf-a0-71.ucode)
  * Intel Wireless (SO-A0-GF-A0) firmware, version 72.daa05125.0
    (iwlwifi-so-a0-gf-a0-72.ucode)
  * Intel Wireless (SO-A0-GF-A0) PNVM firmware, version 71.058653f6.0
    (iwlwifi-so-a0-gf-a0.pnvm)
  * Intel Wireless (SO-A0-GF4-A0) firmware, version 71.058653f6.0
    (iwlwifi-so-a0-gf4-a0-71.ucode)
  * iwlwifi-so-a0-gf4-a0-72.ucode
  * Intel Wireless (SO-A0-GF4-A0) PNVM firmware, version 71.058653f6.0
    (iwlwifi-so-a0-gf4-a0.pnvm)
  * Intel Wireless (SO-A0-HR-B0) firmware, version 71.058653f6.0
    (iwlwifi-so-a0-hr-b0-71.ucode)
  * Intel Wireless (SO-A0-JF-B0) firmware, version 71.058653f6.0
    (iwlwifi-so-a0-jf-b0-71.ucode)
  * Intel Wireless (SO-A0-JF-B0) firmware, version 72.daa05125.0
    (iwlwifi-so-a0-jf-b0-72.ucode)
.
2548c
  * Intel Wireless (TY-A0-GF-A0) firmware, version 71.058653f6.0
    (iwlwifi-ty-a0-gf-a0-71.ucode)
  * Intel Wireless (TY-A0-GF-A0) firmware, version 72.daa05125.0
    (iwlwifi-ty-a0-gf-a0-72.ucode)
  * Intel Wireless (TY-A0-GF-A0) PNVM firmware, version 71.058653f6.0
.
2539a
  * Intel Wireless series (CC-A0) firmware, version 71.058653f6.0
    (iwlwifi-cc-a0-71.ucode)
  * Intel Wireless series (CC-A0) firmware, version 72.daa05125.0
    (iwlwifi-cc-a0-72.ucode)
.
2523a
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    71.058653f6.0 (iwlwifi-QuZ-a0-jf-b0-71.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    72.daa05125.0 (iwlwifi-QuZ-a0-jf-b0-72.ucode)
.
2509a
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    71.058653f6.0 (iwlwifi-QuZ-a0-hr-b0-71.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    72.daa05125.0 (iwlwifi-QuZ-a0-hr-b0-72.ucode)
.
2495a
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    71.058653f6.0 (iwlwifi-Qu-c0-jf-b0-71.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    72.daa05125.0 (iwlwifi-Qu-c0-jf-b0-72.ucode)
.
2481a
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    71.058653f6.0 (iwlwifi-Qu-c0-hr-b0-71.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    72.daa05125.0 (iwlwifi-Qu-c0-hr-b0-72.ucode)
.
2467a
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    71.058653f6.0 (iwlwifi-Qu-b0-jf-b0-71.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    72.daa05125.0 (iwlwifi-Qu-b0-jf-b0-72.ucode)
.
2453a
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    71.058653f6.0 (iwlwifi-Qu-b0-hr-b0-71.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    72.daa05125.0 (iwlwifi-Qu-b0-hr-b0-72.ucode)
.
2438c
  * Intel Wireless 9260 firmware, version 46.50fdb42f.0
.
2428c
  * Intel Wireless 9000 firmware, version 46.50fdb42f.0
.
2404,2405d
2400,2401d
2374,2375d
2344a
  * Intel Wireless Bluetooth AX201 configuration, version 22.80.0.4
    (intel/ibt-0040-4150.ddc)
  * Intel Wireless Bluetooth AX201 firmware, version 22.180.0.2
    (intel/ibt-0040-4150.sfi)
  * Intel Wireless Bluetooth AX201 configuration, version 22.80.0.4
    (intel/ibt-1040-4150.ddc)
  * Intel Wireless Bluetooth AX201 firmware, version 22.180.0.2
    (intel/ibt-1040-4150.sfi)
.
2343c
  * Intel Wireless AX2100 Bluethooth firmware, version 22.180.0.2
.
2339,2340c
  * Intel Wireless 22161 (var 1 rev 4) Bluetooth firmware, version
    22.180.0.2 (intel/ibt-20-1-4.sfi)
  * Intel Wireless AX211 Bluethooth configuration, version 22.80.0.4
    (intel/ibt-0040-0041.ddc)
  * Intel Wireless AX211 Bluethooth firmware, version 22.180.0.2
    (intel/ibt-0040-0041.sfi)
.
2336c
    22.180.0.2 (intel/ibt-20-1-3.sfi)
.
2332c
    22.180.0.2 (intel/ibt-20-0-3.sfi)
.
2327c
  * Intel Bluetooth AX201 (var 32 rev 4) firmware, version 22.180.0.2
.
2323c
  * Intel Bluetooth AX201 (var 32 rev 1) firmware, version 22.180.0.2
.
2319c
  * Intel Bluetooth AX201 (var 32 rev 0) firmware, version 22.180.0.2
.
2315c
  * Intel Bluetooth AX201 firmware, version 22.180.0.2
.
2311c
  * Intel Bluetooth AX201 firmware, version 22.180.0.2
.
2303c
  * Intel Bluetooth AX201 (var 0 rev 4) firmware, version 22.180.0.2
.
2299c
  * Intel Bluetooth AX201 (var 0 rev 1) firmware, version 22.180.0.2
.
2295c
  * Intel Bluetooth AX201 (var 0 rev 0) firmware, version 22.180.0.2
.
2263c
Description-md5: 36347accdd2b97700e9b25254d2b1a20
.
2206,2219d
2096,2097d
2038c
Description-md5: 4204215c5fcfe978c08d25aa3a99f88b
.
2035a
  * Broadcom NetXtreme II 10Gb 57710, version 7.13.21.0
    (bnx2x/bnx2x-e1-7.13.21.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.13.21.0
    (bnx2x/bnx2x-e1h-7.13.21.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.13.21.0
    (bnx2x/bnx2x-e2-7.13.21.0.fw)
.
2000,2023d
1994c
Description-md5: 551f40995c29853a39f3b2f76e113a77
.
1988,1989d
1984,1985d
1973c
Description-md5: 0bc2153d7033d3a11ba416c9e8463845
.
1967a
  * Qualcomm Atheros WCN685x RAM BT firmware
    (qca/rampatch_usb_00130201.bin)
.
1951a
  * Qualcomm Atheros WCN685x NVM BT firmware (qca/nvm_usb_00130201.bin)
  * Qualcomm Atheros WCN685x 010a NVM BT firmware
    (qca/nvm_usb_00130201_010a.bin)
  * Qualcomm Atheros WCN685x 010b NVM BT firmware
    (qca/nvm_usb_00130201_010b.bin)
  * Qualcomm Atheros WCN685x 0303 NVM BT firmware
    (qca/nvm_usb_00130201_0303.bin)
  * Qualcomm Atheros WCN685x gf NVM BT firmware
    (qca/nvm_usb_00130201_gf.bin)
  * Qualcomm Atheros WCN685x gf 010a NVM BT firmware
    (qca/nvm_usb_00130201_gf_010a.bin)
  * Qualcomm Atheros WCN685x gf 010b NVM BT firmware
    (qca/nvm_usb_00130201_gf_010b.bin)
  * Qualcomm Atheros WCN685x gf 0303 NVM BT firmware
    (qca/nvm_usb_00130201_gf_0303.bin)
.
1949a
  * Qualcomm Atheros WCN685x 0109 NVM BT firmware
    (qca/nvm_usb_00130200_0109.bin)
.
1873a
  * Qualcomm Atheros QCN9074 amss firmware, version
    WLAN.HK.2.5.0.1-01208-QCAHKSWPL_SILICONZ-1
    (ath11k/QCN9074/hw1.0/amss.bin)
  * Qualcomm Atheros QCN9074 board-2 firmware, version
    WLAN.HK.2.5.0.1-01208-QCAHKSWPL_SILICONZ-1
    (ath11k/QCN9074/hw1.0/board-2.bin)
  * Qualcomm Atheros QCN9074 m3 firmware, version
    WLAN.HK.2.5.0.1-01208-QCAHKSWPL_SILICONZ-1
    (ath11k/QCN9074/hw1.0/m3.bin)
  * Qualcomm Atheros WCN6750 board-2 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1
    (ath11k/WCN6750/hw1.0/board-2.bin)
  * Qualcomm Atheros WCN6750 wpss.b00 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b00)
  * Qualcomm Atheros WCN6750 wpss.b01 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b01)
  * Qualcomm Atheros WCN6750 wpss.b02 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b02)
  * Qualcomm Atheros WCN6750 wpss.b03 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b03)
  * Qualcomm Atheros WCN6750 wpss.b04 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b04)
  * Qualcomm Atheros WCN6750 wpss.b05 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b05)
  * Qualcomm Atheros WCN6750 wpss.b06 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b06)
  * Qualcomm Atheros WCN6750 wpss.b07 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b07)
  * Qualcomm Atheros WCN6750 wpss.b08 firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.b08)
  * Qualcomm Atheros WCN6750 wpss.mdt firmware, version
    WLAN.MSL.1.0.1-00887-QCAMSLSWPLZ-1 (ath11k/WCN6750/hw1.0/wpss.mdt)
  * Qualcomm Atheros WCN6855 amss firmware, version
    WLAN.HSP.1.1-03125-QCAHSPSWPL_V1_V2_SILICONZ_LITE-3.6510.9
    (ath11k/WCN6855/hw2.0/amss.bin, ath11k/WCN6855/hw2.1/amss.bin)
  * Qualcomm Atheros WCN6855 board-2 firmware
    (ath11k/WCN6855/hw2.0/board-2.bin, ath11k/WCN6855/hw2.1/board-2.bin)
  * Qualcomm Atheros WCN6855 m3 firmware, version
    WLAN.HSP.1.1-03125-QCAHSPSWPL_V1_V2_SILICONZ_LITE-3
    (ath11k/WCN6855/hw2.0/m3.bin, ath11k/WCN6855/hw2.1/m3.bin)
  * Qualcomm Atheros WCN6855 regdb firmware
    (ath11k/WCN6855/hw2.0/regdb.bin, ath11k/WCN6855/hw2.1/regdb.bin)
.
1766a
  * Qualcomm Atheros WCN3990 board-2.bin firmware
    (ath10k/WCN3990/hw1.0/board-2.bin)
.
1761,1762c
  * Qualcomm Atheros QCA99X0 board configuration, version 2
    (ath10k/QCA99X0/hw2.0/board-2.bin)
.
1677c
Description-md5: ea2ad95a00a101d8d9883777d9d491ba
.
1374a
  * "Yellow Carp" ASD firmware (amdgpu/yellow_carp_asd.bin)
  * "Yellow Carp" CE firmware (amdgpu/yellow_carp_ce.bin)
  * "Yellow Carp" DMCUB firmware (amdgpu/yellow_carp_dmcub.bin)
  * "Yellow Carp" ME firmware (amdgpu/yellow_carp_me.bin)
  * "Yellow Carp" MEC firmware (amdgpu/yellow_carp_mec.bin)
  * "Yellow Carp" MEC2 firmware (amdgpu/yellow_carp_mec2.bin)
  * "Yellow Carp" PFP firmware (amdgpu/yellow_carp_pfp.bin)
  * "Yellow Carp" RLC firmware (amdgpu/yellow_carp_rlc.bin)
  * "Yellow Carp" SDMA firmware (amdgpu/yellow_carp_sdma.bin)
  * "Yellow Carp" TA firmware (amdgpu/yellow_carp_ta.bin)
  * "Yellow Carp" TOC firmware (amdgpu/yellow_carp_toc.bin)
  * "Yellow Carp" VCN firmware (amdgpu/yellow_carp_vcn.bin)
.
1302,1312c
  * "Van Gogh" ASD firmware (amdgpu/vangogh_asd.bin)
  * "Van Gogh" CE firmware (amdgpu/vangogh_ce.bin)
  * "Van Gogh" DMCUB firmware (amdgpu/vangogh_dmcub.bin)
  * "Van Gogh" ME firmware (amdgpu/vangogh_me.bin)
  * "Van Gogh" MEC2 firmware (amdgpu/vangogh_mec2.bin)
  * "Van Gogh" MEC firmware (amdgpu/vangogh_mec.bin)
  * "Van Gogh" PFP firmware (amdgpu/vangogh_pfp.bin)
  * "Van Gogh" RLC firmware (amdgpu/vangogh_rlc.bin)
  * "Van Gogh" SDMA firmware (amdgpu/vangogh_sdma.bin)
  * "Van Gogh" TOC firmware (amdgpu/vangogh_toc.bin)
  * "Van Gogh" VNC firmware (amdgpu/vangogh_vcn.bin)
  * VCN 3.1.2 firmware (amdgpu/vcn_3_1_2.bin)
.
1248a
  * SDMA 5.2.6 firmware (amdgpu/sdma_5_2_6.bin)
  * SDMA 5.2.7 firmware (amdgpu/sdma_5_2_7.bin)
.
1212a
  * PSP 13.0.5 ASD firmware (amdgpu/psp_13_0_5_asd.bin)
  * PSP 13.0.5 TA firmware (amdgpu/psp_13_0_5_ta.bin)
  * PSP 13.0.5 TOC firmware (amdgpu/psp_13_0_5_toc.bin)
  * PSP 13.0.8 ASD firmware (amdgpu/psp_13_0_8_asd.bin)
  * PSP 13.0.8 TA firmware (amdgpu/psp_13_0_8_ta.bin)
  * PSP 13.0.8 TOC firmware (amdgpu/psp_13_0_8_toc.bin)
.
1110,1121c
  * "Navy Flounder" CE firmware (amdgpu/navy_flounder_ce.bin)
  * "Navy Flounder" DMCUB firmware (amdgpu/navy_flounder_dmcub.bin)
  * "Navy Flounder" ME firmware (amdgpu/navy_flounder_me.bin)
  * "Navy Flounder" MEC firmware (amdgpu/navy_flounder_mec.bin)
  * "Navy Flounder" MEC2 firmware (amdgpu/navy_flounder_mec2.bin)
  * "Navy Flounder" PFP firmware (amdgpu/navy_flounder_pfp.bin)
  * "Navy Flounder" RLC firmware (amdgpu/navy_flounder_rlc.bin)
  * "Navy Flounder" SDMA firmware (amdgpu/navy_flounder_sdma.bin)
  * "Navy Flounder" SMC firmware (amdgpu/navy_flounder_smc.bin)
  * "Navy Flounder" SOS firmware (amdgpu/navy_flounder_sos.bin)
  * "Navy Flounder" TA firmware (amdgpu/navy_flounder_ta.bin)
  * "Navy Flounder" VCN firmware (amdgpu/navy_flounder_vcn.bin)
.
985,995c
  * GC 10.3.6 CE firmware (amdgpu/gc_10_3_6_ce.bin)
  * GC 10.3.6 ME firmware (amdgpu/gc_10_3_6_me.bin)
  * GC 10.3.6 MEC firmware (amdgpu/gc_10_3_6_mec.bin)
  * GC 10.3.6 MEC2 firmware (amdgpu/gc_10_3_6_mec2.bin)
  * GC 10.3.6 PFP firmware (amdgpu/gc_10_3_6_pfp.bin)
  * GC 10.3.6 RLC firmware (amdgpu/gc_10_3_6_rlc.bin)
  * GC 10.3.7 CE firmware (amdgpu/gc_10_3_7_ce.bin)
  * GC 10.3.7 ME firmware (amdgpu/gc_10_3_7_me.bin)
  * GC 10.3.7 MEC firmware (amdgpu/gc_10_3_7_mec.bin)
  * GC 10.3.7 MEC2 firmware (amdgpu/gc_10_3_7_mec2.bin)
  * GC 10.3.7 PFP firmware (amdgpu/gc_10_3_7_pfp.bin)
  * GC 10.3.7 RLC firmware (amdgpu/gc_10_3_7_rlc.bin)
  * Ryzen 5000 ASD firmware (amdgpu/green_sardine_asd.bin)
  * Ryzen 5000 CE firmware (amdgpu/green_sardine_ce.bin)
  * Ryzen 5000 DMCUB firmware (amdgpu/green_sardine_dmcub.bin)
  * Ryzen 5000 ME firmware (amdgpu/green_sardine_me.bin)
  * Ryzen 5000 MEC2 firmware (amdgpu/green_sardine_mec2.bin)
  * Ryzen 5000 MEC firmware (amdgpu/green_sardine_mec.bin)
  * Ryzen 5000 PFP firmware (amdgpu/green_sardine_pfp.bin)
  * Ryzen 5000 RLC firmware (amdgpu/green_sardine_rlc.bin)
  * Ryzen 5000 SDMA firmware (amdgpu/green_sardine_sdma.bin)
  * Ryzen 5000 TA firmware (amdgpu/green_sardine_ta.bin)
  * Ryzen 5000 VCN firmware (amdgpu/green_sardine_vcn.bin)
.
955,972c
  * "Dimgrey Cavefish" ME firmware (amdgpu/dimgrey_cavefish_me.bin)
  * "Dimgrey Cavefish" MEC firmware (amdgpu/dimgrey_cavefish_mec.bin)
  * "Dimgrey Cavefish" MEC2 firmware (amdgpu/dimgrey_cavefish_mec2.bin)
  * "Dimgrey Cavefish" PFP firmware (amdgpu/dimgrey_cavefish_pfp.bin)
  * "Dimgrey Cavefish" RLC firmware (amdgpu/dimgrey_cavefish_rlc.bin)
  * "Dimgrey Cavefish" SDMA firmware (amdgpu/dimgrey_cavefish_sdma.bin)
  * "Dimgrey Cavefish" SMC firmware (amdgpu/dimgrey_cavefish_smc.bin)
  * "Dimgrey Cavefish" SOS firmware (amdgpu/dimgrey_cavefish_sos.bin)
  * "Dimgrey Cavefish" TA firmware (amdgpu/dimgrey_cavefish_ta.bin)
  * "Dimgrey Cavefish" VCN firmware (amdgpu/dimgrey_cavefish_vcn.bin)
.
952,953c
  * "Cyan Skillfish2" CE firmware (amdgpu/cyan_skillfish2_ce.bin)
  * "Cyan Skillfish2" ME firmware (amdgpu/cyan_skillfish2_me.bin)
  * "Cyan Skillfish2" MEC firmware (amdgpu/cyan_skillfish2_mec.bin)
  * "Cyan Skillfish2" MEC2 firmware (amdgpu/cyan_skillfish2_mec2.bin)
  * "Cyan Skillfish2" PFP firmware (amdgpu/cyan_skillfish2_pfp.bin)
  * "Cyan Skillfish2" RLC firmware (amdgpu/cyan_skillfish2_rlc.bin)
  * "Cyan Skillfish2" SDMA firmware (amdgpu/cyan_skillfish2_sdma.bin)
  * "Cyan Skillfish2" SDMA1 firmware (amdgpu/cyan_skillfish2_sdma1.bin)
  * DCN 3.1.5 DMCUB firmware (amdgpu/dcn_3_1_5_dmcub.bin)
  * DCN 3.1.6 DMCUB firmware (amdgpu/dcn_3_1_6_dmcub.bin)
  * "Dimgrey Cavefish" CE firmware (amdgpu/dimgrey_cavefish_ce.bin)
  * "Dimgrey Cavefish" DMCUB firmware
.
928a
  * "Beige Goby" CE firmware (amdgpu/beige_goby_ce.bin)
  * "Beige Goby" DMCUB firmware (amdgpu/beige_goby_dmcub.bin)
  * "Beige Goby" ME firmware (amdgpu/beige_goby_me.bin)
  * "Beige Goby" MEC firmware (amdgpu/beige_goby_mec.bin)
  * "Beige Goby" MEC2 firmware (amdgpu/beige_goby_mec2.bin)
  * "Beige Goby" PFP firmware (amdgpu/beige_goby_pfp.bin)
  * "Beige Goby" RLC firmware (amdgpu/beige_goby_rlc.bin)
  * "Beige Goby" SDMA firmware (amdgpu/beige_goby_sdma.bin)
  * "Beige Goby" SMC firmware (amdgpu/beige_goby_smc.bin)
  * "Beige Goby" SOS firmware (amdgpu/beige_goby_sos.bin)
  * "Beige Goby" TA firmware (amdgpu/beige_goby_ta.bin)
  * "Beige Goby" VCN firmware (amdgpu/beige_goby_vcn.bin)
.
918,927c
  * "Aldebaran" MEC firmware (amdgpu/aldebaran_mec.bin)
  * "Aldebaran" MEC2 firmware (amdgpu/aldebaran_mec2.bin)
  * "Aldebaran" RLC firmware (amdgpu/aldebaran_rlc.bin)
  * "Aldebaran" SDMA firmware (amdgpu/aldebaran_sdma.bin)
  * "Aldebaran" SMC firmware (amdgpu/aldebaran_smc.bin)
  * "Aldebaran" SOS firmware (amdgpu/aldebaran_sos.bin)
  * "Aldebaran" TA firmware (amdgpu/aldebaran_ta.bin)
  * "Aldebaran" VCN firmware (amdgpu/aldebaran_vcn.bin)
  * "Arcturus" ASDN firmware (amdgpu/arcturus_asd.bin)
  * "Arcturus" GPU info firmware (amdgpu/arcturus_gpu_info.bin)
  * "Arcturus" MEC2 firmware (amdgpu/arcturus_mec2.bin)
  * "Arcturus" MEC firmware (amdgpu/arcturus_mec.bin)
  * "Arcturus" RLC firmware (amdgpu/arcturus_rlc.bin)
  * "Arcturus" SDMA firmware (amdgpu/arcturus_sdma.bin)
  * "Arcturus" SMC firmware (amdgpu/arcturus_smc.bin)
  * "Arcturus" SOS firmware (amdgpu/arcturus_sos.bin)
  * "Arcturus" TA firmware (amdgpu/arcturus_ta.bin)
  * "Arcturus" VCN firmware (amdgpu/arcturus_vcn.bin)
.
912c
Description-md5: 60c3f8c17ce48782285f84810a1b5fd8
.
185,186c
 Set in a realistic looking environment, as far as that's possible with this
 engine, while gameplay stays fast and arcade. This game is all about team
 oriented multiplayer fun.
 .
 The game data required to play this game will be downloaded automatically
 when this package is installed.
.
181,183c
 game Cube.
.
177,179c
Package: assaultcube
Description-md5: 7576f391baa8701ed9ad64162252916a
Description-en: realistic first-person-shooter
.
