Package: blimps-examples Description-md5: 18ddc9ff8aab78bc1efd53cccc24389d Description-en: blocks database improved searcher (example data) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains example data. Package: blimps-utils Description-md5: 1afe4567b883b39e7050a4f604a91e17 Description-en: blocks database improved searcher BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains the binaries. Package: firmware-qcom-dragonboard845c Description-md5: 3507088ed94312d44b4d5f5207d7374f Description-en: Binary firmware for various Qualcomm drivers used on Dragonboard 845c This package contains the binary firmware for GPU, USB, Venus, DSP hardware coprocessors found on SDM845, which is the main SoC on the Dragonboard 845c. Package: firmware-qcom-rb5 Description-md5: 0abf8cbedf59bff7af0b4696550319c7 Description-en: Binary firmware for various Qualcomm drivers used on Robotics RB5 This package contains the binary firmware for the SM8250, which is the main SoC on the Robotics RB5. Package: gamescope Description-md5: 6111e2509fd84e122c22f72219401268 Description-en: Micro-compositor for game scaling Gamescope wraps your games to give them scaling and fullscreen options. It provides a Wayland compositor to your games, but gamescope runs under both Wayland and X.org. . Your game sees a virtual display at the resolution you specified. You see a scaled view in a window or fullscreen. This is useful when either the game or your system do not permit running the game at native window/screen sizes. You can also use integer scaling to keep your pixels sharp and pixelated. Package: gitaly-installer Description-md5: a0db51942a7c98ec821bffaf2b5a8789 Description-en: Git RPC service for handling all the git calls made by GitLab Gitaly makes the git data storage tier of large GitLab instances fast. This is achieved by moving git operations as close to the data as possible and Optimizing git services using caching. Gitaly is a core service of gitlab. This package installs Gitaly from pre-built binaries from Gitlab artifacts. Package: gitlab-common Description-md5: ccb3bd8dfffd14a6e75d53315368861a Description-en: git powered software platform to collaborate on code (common) gitlab provides web based interface to host source code and track issues. It allows anyone for fork a repository and send merge requests. Code review is possible using merge request workflow. Using groups and roles project access can be controlled. . This package includes configurations common to gitlab and gitaly. Package: libblimps3 Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa Description-en: blocks database improved searcher library BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the shared library. Package: libblimps3-dev Description-md5: 4d04b155f279229d68533b0ec59a8e4f Description-en: blocks database improved searcher library (development) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the library development headers and the static library. Package: libnvidia-nscq-570 Description-md5: 06d90fb68ae67655c00815a4db03a64e Description-en: NVSwitch Configuration and Query library NVIDIA NVSwitch Configuration and Query (NSCQ) library provides a stable driver API used by DCGM for monitoring NVSwitch devices. Package: libparmetis-dev Description-md5: 839c770f477cb92f6af09275d807c484 Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Libs: Devel ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains files needed to develop programs using ParMetis. Package: libparmetis4.0 Description-md5: 17a6686f47a3b63f4328881bffab697b Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Shared Libs ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains the ParMetis shared libraries. Package: libstdgpu-cuda-dev Description-md5: e4dd50a6deda827edd854dc36f6898ac Description-en: Efficient STL-like Data Structures on the GPU (CUDA development headers) stdgpu is an open-source library providing several generic GPU data structures for fast and reliable data management. Multiple platforms such as CUDA, OpenMP, and HIP are supported allowing you to rapidly write highly complex agnostic and native algorithms that look like sequential CPU code but are executed in parallel on the GPU. . This package installs the development headers for the CUDA version. Package: libstdgpu-cuda0d Description-md5: 86f2a09d523e7b55fff456ecf5defbc3 Description-en: Efficient STL-like Data Structures on the GPU (CUDA backend) stdgpu is an open-source library providing several generic GPU data structures for fast and reliable data management. Multiple platforms such as CUDA, OpenMP, and HIP are supported allowing you to rapidly write highly complex agnostic and native algorithms that look like sequential CPU code but are executed in parallel on the GPU. . This package installs the shared library that runs on CUDA. Package: nvidia-imex-570 Description-md5: f7a765b2a95d4cabcc9695466d5f6cc8 Description-en: IMEX Manager for NVIDIA based systems. IMEX Manager for NVIDIA systems. Package: parmetis-doc Description-md5: 55cc39b179c0b5b2dedead6fc6a8c34f Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Lib - Docs ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains the documentation and example files. Package: parmetis-test Description-md5: b9b53f52a3b7e53d03b5260911e600a9 Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Tests ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains programs which test the ParMetis libraries using files in the parmetis-doc package's examples directory. Package: python-pycuda-doc Description-md5: 4b4f2b1e8b32879eefe98c99f3a598ba Description-en: module to access Nvidia‘s CUDA computation API (documentation) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains HTML documentation and example scripts. Package: python3-pycuda Description-md5: 4f446cb70e3ba6723eaae62a94efb36c Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains Python 3 modules. Package: sift Description-md5: 7788bf12148938f8dc8e4675657ce605 Description-en: predicts if a substitution in a protein has a phenotypic effect SIFT is a sequence homology-based tool that sorts intolerant from tolerant amino acid substitutions and predicts whether an amino acid substitution in a protein will have a phenotypic effect. SIFT is based on the premise that protein evolution is correlated with protein function. Positions important for function should be conserved in an alignment of the protein family, whereas unimportant positions should appear diverse in an alignment. Package: libhwloc-contrib-plugins Description-md5: 2b02fbf995ab5fe6645ca4e4ad3e8d3f Description-en: Hierarchical view of the machine - contrib plugins libhwloc provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures. It primarily aims at helping high-performance computing applications with gathering information about the hardware so as to exploit it accordingly and efficiently. . libhwloc provides a hierarchical view of the machine, NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various attributes such as cache and memory information. . libhwloc supports old kernels not having sysfs topology information, with knowledge of cpusets, offline cpus, and Kerrighed support . This package contains plugins to add discovery support for non-free items. This includes - CUDA support. Package: libegl-nvidia-tesla-550-0 Description-md5: dc48cddcc28d906a86ef1e7e607622d5 Description-en: NVIDIA binary EGL library (Tesla 550 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-550-driver package or /usr/share/doc/libgl1-nvidia-tesla-550-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-550-glvnd-glx Description-md5: 4670f83b13d0b3a4d5be69052acaeb13 Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 550 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-550-driver package or /usr/share/doc/libgl1-nvidia-tesla-550-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-tesla-550-1 Description-md5: e5f9bc034e5abb0a481d9dfbfb88d4db Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 550 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-550-driver package or /usr/share/doc/libgl1-nvidia-tesla-550-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-tesla-550-2 Description-md5: 6fe2d115f7b60c1c3cd0da82f1b5b860 Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 550 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-550-driver package or /usr/share/doc/libgl1-nvidia-tesla-550-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-tesla-550-0 Description-md5: 0c0cd16f6a5dd2ffc8aa55b6d727f297 Description-en: NVIDIA binary GLX library (Tesla 550 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-550-driver package or /usr/share/doc/libgl1-nvidia-tesla-550-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-compute-570-server Description-md5: 11b7b8b816402e282453221bd66903b4 Description-en: NVIDIA libcompute package This package provides a set of libraries which enable the NVIDIA Server Driver to use GPUs for parallel general purpose computation through CUDA and OpenCL. Package: libnvidia-decode-570-server Description-md5: 82c3a05b45f86380632898c9b339df7a Description-en: NVIDIA Video Decoding runtime libraries This package includes the NVIDIA CUDA Video Decoder (NVCUVID) library which provides an interface to hardware video decoding capabilities on NVIDIA GPUs with CUDA. . The package also provides a VDPAU (Video Decode and Presentation API for Unix-like systems) library for the NVIDIA vendor implementation. Package: libnvidia-encode-570-server Description-md5: 21b4191ea88e49a7e948a2b89cfed901 Description-en: NVENC Video Encoding runtime library 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-extra-570-server Description-md5: d919c13960893adb9b27fa15ab4b33a4 Description-en: Extra libraries for the NVIDIA Server Driver This package provides an additional set of libraries to be used with the NVIDIA Server Driver. Package: libnvidia-fbc1-570-server Description-md5: 19123a53d351a2e540ca869d1e74f9d2 Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library 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-gl-570-server Description-md5: d899ab089124230e29489e7dcc9f137a Description-en: NVIDIA OpenGL/GLX/EGL/GLES GLVND libraries and Vulkan ICD This package provides the NVIDIA OpenGL/GLX/EGL/GLES libraries and the Vulkan ICD. Package: libnvidia-tesla-550-allocator1 Description-md5: f0b7318cd9e91996f2c60bda404cf03b Description-en: NVIDIA allocator runtime library (Tesla 550 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 which is used by other driver components. Package: libnvidia-tesla-550-cuda1 Description-md5: 53c71586348c674eb159295c6852394b Description-en: NVIDIA CUDA Driver Library (Tesla 550 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-550-kernel-dkms (nvidia-tesla-550-open-kernel-dkms) or nvidia-tesla-550-kernel-source (nvidia-tesla-550-open-kernel-source) packages for building the kernel module required by this package. This will provide nvidia-tesla-550-kernel-550.54.15 (nvidia-tesla-550-open-kernel-550.54.15). Package: libnvidia-tesla-550-eglcore Description-md5: 268cac9241f4ed769101c5e8c01c7ab2 Description-en: NVIDIA binary EGL core libraries (Tesla 550 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-550-encode1 Description-md5: de4d18b38a311890c4c9c4ee63f96849 Description-en: NVENC Video Encoding runtime library (Tesla 550 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-550-fbc1 Description-md5: 29208a8284e9e65de41dd3ff40dfe2f2 Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 550 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-550-glcore Description-md5: 7cfcc827f19ccacf114537c1093c588c Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 550 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-550-glvkspirv Description-md5: 44e25f5dbbad17c5bbc45e9081d9fc69 Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 550 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-550-gpucomp Description-md5: 8c927baf00ef870b9f9f952be53ed558 Description-en: NVIDIA binary GPU compiler library (Tesla 550 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 GPU compiler runtime library which is used by other driver components. Package: libnvidia-tesla-550-ml1 Description-md5: 585046eda85baa1cdf04fbe8e0360654 Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 550 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-550-nvcuvid1 Description-md5: 9bc435de370ad1186b1c4e8e5951a233 Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 550 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-550-nvvm4 Description-md5: a2a3912a5c6971d6b880d709a10fa55d Description-en: NVIDIA NVVM Compiler library (Tesla 550 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-550-opticalflow1 Description-md5: b4ad27a58ac1d56c5a9cc7a560e6abc9 Description-en: NVIDIA Optical Flow runtime library (Tesla 550 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-550-ptxjitcompiler1 Description-md5: cfdcd5bb94471d6f5e4dba570cd4da3a Description-en: NVIDIA PTX JIT Compiler library (Tesla 550 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: nvidia-tesla-550-alternative Description-md5: a2b22768482073b7576de75a361eb0d3 Description-en: allows the selection of NVIDIA as GLX provider (Tesla 550 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-550-driver package instead. Package: nvidia-tesla-550-driver-libs Description-md5: 193118daf1fda1525e4d3e4ae19f1d9b Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 550 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-550-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-550-opencl-icd Description-md5: da373767394c31d800d06d11ff0058a9 Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 550 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. Package: nvidia-tesla-550-vdpau-driver Description-md5: 826c02c5533fb7709c05e27ec2cd952f Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 550) 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-550-vdpau-driver/README.txt.gz for more information. . Please see the nvidia-tesla-550-kernel-dkms (nvidia-tesla-550-open-kernel-dkms) or nvidia-tesla-550-kernel-source (nvidia-tesla-550-open-kernel-source) packages for building the kernel module required by this package. This will provide nvidia-tesla-550-kernel-550.54.15 (nvidia-tesla-550-open-kernel-550.54.15). Package: nvidia-tesla-550-vulkan-icd Description-md5: 9d0b8858a8c0058b81db8dfa4a7de1b4 Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 550 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.