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: cluster3 Description-md5: fdd3e34e11f67c13bdf614925d3877ff Description-en: Reimplementation of the Eisen-clustering software The open source clustering software available here contains clustering routines that can be used to analyze gene expression data. Routines for hierarchical (pairwise simple, complete, average, and centroid linkage) clustering, k-means and k-medians clustering, and 2D self-organizing maps are included. The routines are available in the form of a C clustering library, an extension module to Python, a module to Perl, as well as an enhanced version of Cluster, which was originally developed by Michael Eisen of Berkeley Lab. The C clustering library and the associated extension module for Python was released under the Python license. The Perl module was released under the Artistic License. Cluster 3.0 is covered by the original Cluster/TreeView license. . This package only contains the command line and motif gui versions of Cluster 3.0. Package: exult Description-md5: 9c39d06a3da0bc0cfd896163aa1493f5 Description-en: engine for Ultima VII (BG, FOV, SI, SS) Exult is an open source engine for playing Ultima VII on a variety of modern operating systems and environments. The Black Gate (including Forge of Virtue) and Serpent Isle (plus Silver Seed) are both playable to the end. Some differences to the original games exist; see sections 5.3/5.4 of the FAQ. . While it is possible to use the engine for other games, no such game has been written yet. Therefore, Exult is useless unless you own a copy of one of the Ultima VIIs. Package: exult-studio Description-md5: 7adf4ae2afb678d80d33b4e8483b0a1f Description-en: tools for editing and viewing exult games Includes: . exult_studio - An editor for games using the Exult engine. ucc - Usecode compiler. cmanip - Simple commandline conf-file manipulator expack - Command line tool for creating and extracting Flex (.flx) files. Flex files are used by Ultima 7 to store most of its data. ipack - Create/extract image Flex files using the .png format. mklink - Create "linkdep1" and "linkdep2" files from usecode file. rip - Rip specific functions out of usecode. splitshp - Command line tool to take a multi-frame shp file and split it into its individual frames. shp2pcx - Command line tool to convert shp files to pcx format; the shp files can be extracted using expack. textpack - Convert text file to a Flex file. ucxt - Tool to translate usecode back into `human readable', roughly assembly like code. The output can be presented in a variety of different format, including one which will, later, have a suitable compiler back into usecode. wuc - Wody's Usecode Compiler. . These are all works in progress. . A GIMP plugin is provided, so that if you have the GIMP installed you can edit and create game graphics with it. Package: gds-tools Description-md5: 0967df359a764acf59e06afe6602e1b5 Description-en: GPUDirect Storage - tools GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the GDS tools. Package: indi-fishcamp Description-md5: 166b60359988f3196e262dce85c3c645 Description-en: INDI driver for Fishcamp Engineering CCD This package contains an INDI driver for CCD cameras made by Fishcamp Engineering. . This driver is compatible with any INDI client such as KStars or Xephem. Package: indi-mi Description-md5: 972492f2219355825c6f0c51cc9d886f Description-en: INDI driver for cameras made by Moravian Instruments This package contains an INDI driver to support cameras made by Moravian Instruments. . This driver is compatible with any INDI client such as KStars or Xephem. Package: indi-sbig Description-md5: bc8ec3942ce34579911062ed3a339949 Description-en: INDI driver for SBIG cameras This package contains an INDI driver for SBIG Santa Barbra Instrument Group CCD cameras. . This driver is compatible with any INDI client such as KStars or Xephem. Package: libaccinj64-12.2 Description-md5: 404daeb74b9a29243e00b395f84c5ada Description-en: NVIDIA ACCINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . ACCINJ is the OpenACC internal library for profiling. . This package contains the 64-bit ACCINJ runtime library. Package: libblimps3 Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa Description-en: blocks database improved searcher library BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the shared library. Package: libblimps3-dev Description-md5: 4d04b155f279229d68533b0ec59a8e4f Description-en: blocks database improved searcher library (development) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the library development headers and the static library. Package: libcublas12 Description-md5: 5d0c77d8f2c8429e53892a3a70d407c4 Description-en: NVIDIA cuBLAS Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuBLAS library is an implementation of BLAS (Basic Linear Algebra Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access the computational resources of NVIDIA Graphics Processing Unit (GPU), but does not auto-parallelize across multiple GPUs. . This package contains the cuBLAS runtime library. Package: libcublaslt12 Description-md5: 785c52463c947123d690fd61ff5b3adb Description-en: NVIDIA cuBLASLt Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuBLASLt library is a lightweight GEMM library with a flexible API and tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix multiplication. . This package contains the cuBLASLt runtime library. Package: libcudart12 Description-md5: d81acb8bf87762012a0607e71f8eff2e Description-en: NVIDIA CUDA Runtime Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the CUDA Runtime API library for high-level CUDA programming, on top of the CUDA Driver API. Package: libcufft11 Description-md5: 323d8bcdb5ce372c028cb925743b7ad1 Description-en: NVIDIA cuFFT Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFT runtime library. Package: libcufftw11 Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa Description-en: NVIDIA cuFFTW Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFTW runtime library. Package: libcufile-dev Description-md5: c1cd67475ecf5c9f7b33393d15d2499f Description-en: GPUDirect Storage - development files GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the development files: headers and libraries. Package: libcufile-rdma1 Description-md5: a788bd06834da289befc94d603814f4a Description-en: GPUDirect Storage cuFile RDMA runtime library GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the cuFile RDMA runtime library. Package: libcufile0 Description-md5: 10a0a46c2d90b38926742cf0189ef399 Description-en: GPUDirect Storage cuFile runtime library GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the cuFile runtime library. Package: libcuinj64-12.2 Description-md5: 9eca092b41526faa574873e622a445e3 Description-en: NVIDIA CUINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . CUINJ is the CUDA internal library for profiling. . This package contains the 64-bit CUINJ runtime library. Package: libcupti-dev Description-md5: 49cdc8386d120bdf14c58bebe2b3388d Description-en: NVIDIA CUDA Profiler Tools Interface development files The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the development files: headers and libraries. Package: libcupti-doc Description-md5: 0c6d9f272f89c82663423610515dd3eb Description-en: NVIDIA CUDA Profiler Tools Interface documentation The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the documentation and examples. Package: libcupti12 Description-md5: 65f2f1bea81316b239224ffd680c5064 Description-en: NVIDIA CUDA Profiler Tools Interface runtime library The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the runtime library. Package: libcurand10 Description-md5: 05f7818fdfa9c23c51a9db2407910cae Description-en: NVIDIA cuRAND Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuRAND library provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers. A pseudorandom sequence of numbers satisfies most of the statistical properties of a truly random sequence but is generated by a deterministic algorithm. A quasirandom sequence of n-dimensional points is generated by a deterministic algorithm designed to fill an n-dimensional space evenly. . This package contains the cuRAND runtime library. Package: libcusolver11 Description-md5: a30cfc560fa3fdce643526b0177ea7ba Description-en: NVIDIA cuSOLVER Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVER runtime library. Package: libcusolvermg11 Description-md5: 6bd7798cc05ca17920d01c4430269d51 Description-en: NVIDIA cuSOLVERmg Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVERmg runtime library. Package: libcusparse12 Description-md5: 12835bf1c971845122d660784efe714a Description-en: NVIDIA cuSPARSE Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuSPARSE library contains a set of basic linear algebra subroutines used for handling sparse matrices. It is implemented on top of the NVIDIA CUDA runtime and is designed to be called from C and C++. The library routines can be classified into four categories: * Level 1: operations between a vector in sparse format and a vector in dense format * Level 2: operations between a matrix in sparse format and a vector in dense format * Level 3: operations between a matrix in sparse format and a set of vectors in dense format * Conversion: operations that allow conversion between different matrix formats . This package contains the cuSPARSE runtime library. Package: libnppc12 Description-md5: 371330c0e4596d14c1ae0b854eecfa9c Description-en: NVIDIA Performance Primitives core runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives core runtime library. Package: libnppial12 Description-md5: bedf7547f548db0fc00407b8bb5572af Description-en: NVIDIA Performance Primitives lib for Image Arithmetic and Logic NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Arithmetic and Logic operations, which is a sub-library of nppi. Package: libnppicc12 Description-md5: 5c43692beedf3cbda68cb3add3a2f55f Description-en: NVIDIA Performance Primitives lib for Image Color Conversion NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Color and sampling Conversion, which is a sub-library of nppi. Package: libnppidei12 Description-md5: 96ae21f243272a0c4cf855590b806f52 Description-en: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Data Exchange and Initialization, which is a sub-library of nppi. Package: libnppif12 Description-md5: 25b0779ba1f9f488a81add47bc943c6a Description-en: NVIDIA Performance Primitives lib for Image Filters NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Filters, which is a sub-library of nppi. Package: libnppig12 Description-md5: 1f9ccb01fdd747cf6305e037d1c19323 Description-en: NVIDIA Performance Primitives lib for Image Geometry transforms NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Geometry transforms, which is a sub-library of nppi. Package: libnppim12 Description-md5: f03f24db87826ca6b27a88b05bc823c0 Description-en: NVIDIA Performance Primitives lib for Image Morphological operations NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Morphological operations, which is a sub-library of nppi. Package: libnppist12 Description-md5: c9507fd21beb3b0609afeb40e63f4792 Description-en: NVIDIA Performance Primitives lib for Image Statistics NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Statistics and Linear Transformation, which is a sub-library of nppi. Package: libnppisu12 Description-md5: 37b8fa6ff382e1378e1a21c6d0074f80 Description-en: NVIDIA Performance Primitives lib for Image Support NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Support, which is a sub-library of nppi. Package: libnppitc12 Description-md5: d1f0489937a1662cf9d2bf3e68764e1f Description-en: NVIDIA Performance Primitives lib for Image Threshold and Compare NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Threshold and Compare, which is a sub-library of nppi. Package: libnpps12 Description-md5: 24aac8a47c80e58916c189d81d7a7714 Description-en: NVIDIA Performance Primitives for signal processing runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives runtime library for signal processing. Package: libnvblas12 Description-md5: e77f7a1f1173b44f2910c8a51eff1d1c Description-en: NVBLAS runtime library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs present in the system, when the characteristics of the call make it to speedup on a GPU. Package: libnvidia-cfg1-550-server Description-md5: 7dce7edcd194e980223937b38f49e8b9 Description-en: NVIDIA binary OpenGL/GLX configuration library 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-common-550-server Description-md5: 259c61ba4e777f5a2f1e7ee2fd1957bc Description-en: Shared files used by the NVIDIA libraries This package provides a set of files that are required by the NVIDIA libraries. Package: libnvidia-compute-550-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-550-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-550-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-550-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-fbc1-550-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-550-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-ml-dev Description-md5: 1a3cdb21304c933ce9becbb20eb9aa0f Description-en: NVIDIA Management Library (NVML) development files The NVIDIA Management Library (NVML) provides a monitoring and management API. It provides a direct access to the queries and commands exposed via nvidia-smi. . This package contains the header file and depends on the driver-provided library. Package: libnvjitlink12 Description-md5: 795531b08acffe00a6ebc632c3d8e806 Description-en: NVIDIA Compiler JIT LTO Library NVIDIA's CUDA Compiler (NVCC) may apply Just-in-Time (JIT) Link-Time-Optimization (LTO) to improve performance of CUDA kernels comprised of multiple separate compilation units. . This package contains the NVIDIA Compiler JIT LTO runtime library. Package: libnvjpeg12 Description-md5: 623ac7d33181f0192b9126244e553a5c Description-en: NVIDIA JPEG library (nvJPEG) The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG decoding functionality for image formats commonly used in deep learning and hyperscale multimedia applications. The library offers single and batched JPEG decoding capabilities which efficiently utilize the available GPU resources for optimum performance; and the flexibility for users to manage the memory allocation needed for decoding. Package: libnvrtc-builtins12.2 Description-md5: a446d5189a000ea8dd760125227b0954 Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Builtins Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC Builtins library. Package: libnvrtc12 Description-md5: b1b9b1f5f271a283664f94ae0f1e94b4 Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC library. Package: libnvtoolsext1 Description-md5: 301861470547d1207ee0ad56dfa1ef90 Description-en: NVIDIA Tools Extension Library The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and ranges in your applications. Applications which integrate NVTX can use Nsight to capture and visualize these events and ranges. . This package contains the NVIDIA Tools Extension runtime library. Package: libnvvm4 Description-md5: 1efd5ade308f30b7de84c0430187211c Description-en: NVIDIA NVVM Library NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. . The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA GPUs. . This package contains the NVIDIA NVVM runtime library. Package: librna-perl Description-md5: 895cf06070e423e768fdaf45508091e5 Description-en: ViennaRNA perl wrappers Perl wrappers above ViennaRNA library. . The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures Package: notion Description-md5: 09e7f6a1881d70d8ecd78d22041a49b7 Description-en: tiling tabbed window manager designed for keyboard users Notion divides the screen into tiles and places windows in these tiles by default. Each tile has a set of tabs for the windows within it. It also allows windows to be made 'floating' and placed freely. Notion can be controlled through the keyboard alone or together with a mouse. . Notion can be configured and extended using the Lua language. It also supports extension modules written in C. Package: notion-dev Description-md5: cc63e31ab5c2f3d12f04e0160cfd72ff Description-en: Notion development files Notion divides the screen into tiles and places windows in these tiles by default. Each tile has a set of tabs for the windows within it. It also allows windows to be made 'floating' and placed freely. Notion can be controlled through the keyboard alone or together with a mouse. . This package contains the files necessary for building extension modules to the Notion window manager Package: nsight-compute Description-md5: ae73c3bbcf7dbd4b9a83f57a09c0d8b3 Description-en: NVIDIA Nsight Compute NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. Package: nsight-compute-target Description-md5: 63cc5f774d2e4cd2d5746e323baf9499 Description-en: NVIDIA Nsight Compute (target specific libraries) NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. . This package contains the target specific libraries. Package: nsight-systems Description-md5: 07ace54e5beaed541842de61e76de614 Description-en: NVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. Package: nsight-systems-target Description-md5: 314a9e91087893dedfe9c4aa99b10e74 Description-en: NVIDIA Nsight Systems (target specific libraries) NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. . This package contains the target specific libraries. Package: nvidia-compute-utils-550-server Description-md5: 22d91d0fcba51df4741637e102ab12c2 Description-en: NVIDIA compute utilities This package provides utility binaries for paraller general purpose computing use cases with the NVIDIA Server Driver. . CUDA MPS is a feature that allows multiple CUDA processes to share a single GPU context. CUDA MPS should be transparent to CUDA programs. . CUDA MPS requires a device that supports Unified Virtual Address (UVA) and has compute capability SM 3.5 or higher. Pre-CUDA 4.0 APIs are not supported under CUDA MPS. Package: nvidia-cuda-dev Description-md5: 23a17262479fe7daf1cae67727e949c7 Description-en: NVIDIA CUDA development files The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the development files: headers and libraries. Package: nvidia-cuda-gdb Description-md5: 03d8613224997399b5d081ffb05a91f3 Description-en: NVIDIA CUDA Debugger (GDB) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the cuda-gdb debugger. Package: nvidia-cuda-toolkit Description-md5: 4df65757189fdcbdcc50ffa97fccca02 Description-en: NVIDIA CUDA development toolkit The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the nvcc compiler and other tools needed for building CUDA applications. . Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA driver kernel module. Package: nvidia-cuda-toolkit-doc Description-md5: 37628d7854344886d340076661277f47 Description-en: NVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA. Package: nvidia-cuda-toolkit-gcc Description-md5: 7ce75ce1d326c959ae1d41d38407d4e7 Description-en: NVIDIA CUDA development toolkit (GCC compatibility) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to simplify building packages that need to be built with a CUDA-compatible compiler. . This package ensures a deterministic nvcc/gcc combination is used by default and is therefore recommended to be used as build dependency for all source packages needing nvcc for building. Package: nvidia-dkms-550-server Description-md5: ec8c193060b5458922cc0bda62df7796 Description-en: NVIDIA DKMS package This package builds the NVIDIA kernel module needed by the userspace 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. Package: nvidia-dkms-550-server-open Description-md5: dafa8f35853882b3010cba056bb022d0 Description-en: NVIDIA DKMS package (open kernel module) This package builds the open NVIDIA kernel module needed by the userspace 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. Package: nvidia-driver-550-server Description-md5: 1f97b6c1bc45fb8d1da875a0e6bd21a9 Description-en: NVIDIA Server Driver metapackage This metapackage depends on the NVIDIA binary driver and on all of its libraries, to provide hardware acceleration for OpenGL/GLX/EGL/GLES/Vulkan applications on either X11 or on Wayland. . See /usr/share/doc/nvidia-driver-550-server/README.txt.gz for a complete list of supported GPUs and PCI IDs. Package: nvidia-driver-550-server-open Description-md5: 5b8b723b30f898e0953132ce7a5154e2 Description-en: NVIDIA driver (open kernel) metapackage This metapackage depends on the NVIDIA binary driver and on all of its libraries, to provide hardware acceleration for OpenGL/GLX/EGL/GLES/Vulkan applications on either X11 or on Wayland. . See /usr/share/doc/nvidia-driver-550-server/README.txt.gz for a complete list of supported GPUs and PCI IDs. Package: nvidia-fs-dkms Description-md5: 72d9e86231846b86e7ec42b9fab514c0 Description-en: NVIDIA file-system - nvidia-fs.ko kernel driver GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package builds the nvidia-fs.ko kernel driver. Package: nvidia-headless-550-server Description-md5: e7d642d9d00b2dfb77140f3484b629a1 Description-en: NVIDIA headless metapackage This metapackage installs the NVIDIA Server Driver and the libraries that enable parallel general purpose computation through CUDA and OpenCL. . Install this package if you do not need X11 or Wayland support, which is provided by the nvidia-driver-550-server metapackage. Package: nvidia-headless-550-server-open Description-md5: 93799bc2a5a3066fc0bd933c9d387adf Description-en: NVIDIA headless metapackage (open kernel module) This metapackage installs the NVIDIA driver and the libraries that enable parallel general purpose computation through CUDA and OpenCL. . Install this package if you do not need X11 or Wayland support, which is provided by the nvidia-driver-550-server metapackage. Package: nvidia-headless-no-dkms-550-server Description-md5: 95e158ef9d1bc00e831315e1efd3057a Description-en: NVIDIA headless metapackage - no DKMS This metapackage installs the NVIDIA Server Driver and the libraries that enable parallel general purpose computation through CUDA and OpenCL. DKMS will not be installed, and, therefore, the kernel module will not be built. . Install this package if you do not need X11 or Wayland support, which is provided by the nvidia-driver-550-server metapackage. Package: nvidia-headless-no-dkms-550-server-open Description-md5: e17d66a398d4ed38aec0c116a1e1444e Description-en: NVIDIA headless metapackage - no DKMS (open kernel module) This metapackage installs the NVIDIA driver and the libraries that enable parallel general purpose computation through CUDA and OpenCL. DKMS will not be installed, and, therefore, the kernel module will not be built. . Install this package if you do not need X11 or Wayland support, which is provided by the nvidia-driver-550-server metapackage. Package: nvidia-kernel-source-550-server Description-md5: dc60d6861ca351f7cadc7d8fcc74e854 Description-en: NVIDIA kernel source package This package provides the NVIDIA kernel source needed by the userspace driver. Package: nvidia-kernel-source-550-server-open Description-md5: 2694f1253ed6bd4cfbccf1e22ec25a3d Description-en: NVIDIA kernel source package This package provides the open NVIDIA kernel source needed by the userspace driver. Package: nvidia-opencl-dev Description-md5: 5404c4fac54bb1c7a833b77f92a02e84 Description-en: NVIDIA OpenCL development files OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This metapackage provides the development files: headers and libraries. Package: nvidia-profiler Description-md5: 83d361c54427ed94d5493552d5ade11b Description-en: NVIDIA Profiler for CUDA and OpenCL The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package contains the nvprof profiler. Package: nvidia-utils-550-server Description-md5: 4e4bcf98bdc87ac5b44ccdaec6901913 Description-en: NVIDIA Server Driver support binaries This package contains supporting binaries for the NVIDIA Server Driver. Package: nvidia-visual-profiler Description-md5: c762f649b112cccddd5b9e96863b94c7 Description-en: NVIDIA Visual Profiler for CUDA and OpenCL The NVIDIA Visual Profiler is a cross-platform performance profiling tool that delivers developers vital feedback for optimizing CUDA C/C++ and OpenCL applications. Package: openrct2 Description-md5: 136f2157dc662607863d657b37a31ab7 Description-en: Open-source re-implementation of RollerCoaster Tycoon 2 OpenRCT2 is an open-source re-implementation of RollerCoaster Tycoon 2 (RCT2). The gameplay revolves around building and maintaining an amusement park containing attractions, shops and facilities. The player must try to make a profit and maintain a good park reputation whilst keeping the guests happy. OpenRCT2 allows for both scenario and sandbox play. Scenarios require the player to complete a certain objective in a set time limit whilst sandbox allows the player to build a more flexible park with optionally no restrictions or finance. . RollerCoaster Tycoon 2 was originally written by Chris Sawyer in x86 assembly and is the sequel to RollerCoaster Tycoon. The engine was based on Transport Tycoon, an older game which also has an equivalent open-source project, OpenTTD. OpenRCT2 attempts to provide everything from RCT2 as well as many improvements and additional features, some of these include support for modern platforms, an improved interface, improved guest and staff AI, more editing tools, increased limits, and cooperative multiplayer. It also re-introduces mechanics from RollerCoaster Tycoon that were not present in RollerCoaster Tycoon 2. Some of those include; mountain tool in-game, the "have fun" objective, launched coasters (not passing-through the station) and several buttons on the toolbar. Package: openrct2-data Description-md5: ba13feafd937c7243870a1c8ec2b7d37 Description-en: Required game data for OpenRCT2 This package provides the architecture-independent game assets required by the openrct2 executables. Package: protontricks Description-md5: ea45498f2789ed455d73ed5cfdcfd59e Description-en: simple wrapper that does Winetricks things for Proton Proton is a modified version of Wine used in Steam. This tool allows you to use Winetricks commands for games in Steam using Proton. This is often useful when a game requires closed-source runtime libraries that are not included with Proton. Package: python3-rna Description-md5: 310e3dd7fe72676202a1db1d473b4678 Description-en: ViennaRNA Python wrappers Python wrappers above ViennaRNA library. . The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures Package: vienna-rna Description-md5: cd4926e923e0b58439a80df654cba8f9 Description-en: RNA sequence analysis The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures. It is developed and maintained by the group of Ivo Hofacker in Vienna. . RNA secondary structure prediction through energy minimization is the most used function in the package. It provides three kinds of dynamic programming algorithms for structure prediction: * the minimum free energy algorithm of (Zuker & Stiegler 1981) which yields a single optimal structure, * the partition function algorithm of (McCaskill 1990) which calculates base pair probabilities in the thermodynamic ensemble, and the suboptimal folding algorithm of (Wuchty et.al 1999) which generates all suboptimal structures within a given energy range of the optimal energy. . For secondary structure comparison, the package contains several measures of distance (dissimilarities) using either string alignment or tree-editing (Shapiro & Zhang 1990). Finally, is provided an algorithm to design sequences with a predefined structure (inverse folding). The RNAforester package is a tool for aligning RNA secondary structures and it's user interface integrates to those of the tools of the Vienna RNA package. Package: xserver-xorg-video-nvidia-550-server Description-md5: ed1ab5c4b3d616031dbac87ae5af8488 Description-en: NVIDIA binary Xorg driver 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 /usr/share/doc/nvidia-driver-550-server/README.txt.gz for a complete list of supported GPUs and PCI IDs.