Package: alicevision Description-md5: 24f74f2adb49a14d9ddb0dead18f6afd Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the executable tools Package: blimps-examples Description-md5: 18ddc9ff8aab78bc1efd53cccc24389d Description-en: blocks database improved searcher (example data) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains example data. Package: blimps-utils Description-md5: 1afe4567b883b39e7050a4f604a91e17 Description-en: blocks database improved searcher BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains the binaries. Package: firmware-qcom-dragonboard845c Description-md5: 3507088ed94312d44b4d5f5207d7374f Description-en: Binary firmware for various Qualcomm drivers used on Dragonboard 845c This package contains the binary firmware for GPU, USB, Venus, DSP hardware coprocessors found on SDM845, which is the main SoC on the Dragonboard 845c. Package: firmware-qcom-rb3gen2 Description-md5: 932dde057b2dbbe5130433652321aa51 Description-en: Binary firmware for Qualcomm Robotics RB3 Gen2 This package contains the binary firmware for the QCS6490, which is the main SoC on the Robotics RB3 Gen2. Package: firmware-qcom-rb5 Description-md5: 0abf8cbedf59bff7af0b4696550319c7 Description-en: Binary firmware for various Qualcomm drivers used on Robotics RB5 This package contains the binary firmware for the SM8250, which is the main SoC on the Robotics RB5. Package: gds-tools Description-md5: 0967df359a764acf59e06afe6602e1b5 Description-en: GPUDirect Storage - tools GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the GDS tools. Package: gds-tools-13-3 Description-md5: be93036839215be31ba4e0b53b5e52d5 Description-en: Tools for GPU Direct Storage GPU Direct Storage tools Package: libaccinj64-12.4 Description-md5: 404daeb74b9a29243e00b395f84c5ada Description-en: NVIDIA ACCINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . ACCINJ is the OpenACC internal library for profiling. . This package contains the 64-bit ACCINJ runtime library. Package: libalicevision-data Description-md5: ddf3277bd12a96a8873eb5b919423593 Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the data files Package: libalicevision-dev Description-md5: 7c903fbdb1d3a9427fa77e32ec45b298 Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the development files library Package: libalicevision3 Description-md5: bf536eaaaeccf9e2157dcbeb259107be Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the shared library Package: libarrow500 Description-md5: 8a74c20b264d031da68ff6acfb3933eb Description-en: NVIDIA Nsight Systems internal library libarrow NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. . This package contains the internal library libarrow.so.500. Package: libblimps3 Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa Description-en: blocks database improved searcher library BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the shared library. Package: libblimps3-dev Description-md5: 4d04b155f279229d68533b0ec59a8e4f Description-en: blocks database improved searcher library (development) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the library development headers and the static library. Package: libcublas-13-3 Description-md5: 4f31a4c3ca3e1747b91190d3816cbfac Description-en: CUBLAS native runtime libraries CUBLAS native runtime libraries Package: libcublas-dev-13-3 Description-md5: d8b51911296870ff057fbe1db1be45c2 Description-en: CUBLAS native dev links, headers CUBLAS native dev links, headers 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-13-3 Description-md5: a1aede7296b05882e951a5fd3bb227e5 Description-en: Library for GPU Direct Storage with CUDA 13.3 GPU Direct Storage runtime libraries 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-dev-13-3 Description-md5: b7374716cd624f0b4d9e9d4a714c657c Description-en: Library for GPU Direct Storage native dev links, headers GPU Direct Storage native dev links, headers Package: libcufile-rdma1 Description-md5: a788bd06834da289befc94d603814f4a Description-en: GPUDirect Storage cuFile RDMA runtime library GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the cuFile RDMA runtime library. Package: libcufile0 Description-md5: 10a0a46c2d90b38926742cf0189ef399 Description-en: GPUDirect Storage cuFile runtime library GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package contains the cuFile runtime library. Package: libcuinj64-12.4 Description-md5: 9eca092b41526faa574873e622a445e3 Description-en: NVIDIA CUINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . CUINJ is the CUDA internal library for profiling. . This package contains the 64-bit CUINJ runtime library. Package: libcupti-dev Description-md5: 49cdc8386d120bdf14c58bebe2b3388d Description-en: NVIDIA CUDA Profiler Tools Interface development files The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the development files: headers and libraries. Package: libcupti-doc Description-md5: 0c6d9f272f89c82663423610515dd3eb Description-en: NVIDIA CUDA Profiler Tools Interface documentation The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the documentation and examples. Package: libcupti12 Description-md5: 65f2f1bea81316b239224ffd680c5064 Description-en: NVIDIA CUDA Profiler Tools Interface runtime library The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the runtime library. Package: libcurand10 Description-md5: 05f7818fdfa9c23c51a9db2407910cae Description-en: NVIDIA cuRAND Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuRAND library provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers. A pseudorandom sequence of numbers satisfies most of the statistical properties of a truly random sequence but is generated by a deterministic algorithm. A quasirandom sequence of n-dimensional points is generated by a deterministic algorithm designed to fill an n-dimensional space evenly. . This package contains the cuRAND runtime library. Package: libcusolver11 Description-md5: a30cfc560fa3fdce643526b0177ea7ba Description-en: NVIDIA cuSOLVER Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVER runtime library. Package: libcusolvermg11 Description-md5: 6bd7798cc05ca17920d01c4430269d51 Description-en: NVIDIA cuSOLVERmg Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVERmg runtime library. Package: libcusparse-13-3 Description-md5: 68c07e2d55ae724eac4b9de5c7df49c7 Description-en: CUSPARSE native runtime libraries CUSPARSE native runtime libraries Package: libcusparse-dev-13-3 Description-md5: db3ab64d1b3f24d2dc2e6112f15684b0 Description-en: CUSPARSE native dev links, headers CUSPARSE native dev links, headers Package: libcusparse12 Description-md5: e9b6ffe9588718ecb795e00478506c00 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: libfdkaac-ocaml Description-md5: bb2f9e8c4bbbe0171677f3112ec84bc4 Description-en: OCaml interface to the fdkaac library -- runtime files This package provides an interface to the fdkaac library for OCaml programmers. . The FDK AAC Codec Library For Android contains an encoder implementation of the Advanced Audio Coding (AAC) audio codec. . This package contains only the shared runtime stub libraries. Package: libfdkaac-ocaml-dev Description-md5: 9aeb7a2390ccd3baa5b2d363ba61ce74 Description-en: OCaml interface to the fdkaac library -- development files This package provides an interface to the fdkaac library for OCaml programmers. . The FDK AAC Codec Library For Android contains an encoder implementation of the Advanced Audio Coding (AAC) audio codec. . This package contains all the development stuff you need to develop OCaml programs which use ocaml-fdkaac. Package: libfdkaac-ocaml-dynlink Description-md5: 70244771865d3116ad8cf83f837f959a Description-en: OCaml interface to the fdkaac library -- dynamically load This package provides an interface to the fdkaac library for OCaml programmers. . The FDK AAC Codec Library For Android contains an encoder implementation of the Advanced Audio Coding (AAC) audio codec. . This package contains the modules needed to dynamically load ocaml-fdkaac in a program. Package: libggml0-backend-cuda Description-md5: 2e6b39f5bb9691de513fdda76a7a988c Description-en: Tensor library for machine learning - CUDA backend ggml is a tensor library for machine learning with the following features: . * Low-level cross-platform implementation * Integer quantization support * Broad hardware support * Automatic differentiation * ADAM and L-BFGS optimizers * No third-party dependencies * Zero memory allocations during runtime . On Debian, ggml is shipped as a package that depends on one of the CPU or GPU backends. . This package provides the CUDA backend, for NVIDIA GPUs. Package: libgloo-cuda-0 Description-md5: 11fe5b4bb9197845522ecac87176ae15 Description-en: Collective communications library (shared object) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the shared object for Gloo. Package: libgloo-cuda-dev Description-md5: 1eb5d67397fdb9a8162c5c082d1e6d78 Description-en: Collective communications library (development files) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the development files. Package: libnccl-dev Description-md5: eb51ac028af4e93d497fb00fb21ea648 Description-en: NVIDIA Optimized primitives for inter-GPU communication (development) NCCL (pronounced "Nickel") is a stand-alone library of standard communication routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast, reduce-scatter, as well as any send/receive based communication pattern. It has been optimized to achieve high bandwidth on platforms using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL supports an arbitrary number of GPUs installed in a single node or across multiple nodes, and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the development files. Package: libnccl2 Description-md5: 9d65922c97dff88e1fb00aa87e7e5d73 Description-en: NVIDIA Optimized primitives for inter-GPU communication NCCL (pronounced "Nickel") is a stand-alone library of standard communication routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast, reduce-scatter, as well as any send/receive based communication pattern. It has been optimized to achieve high bandwidth on platforms using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL supports an arbitrary number of GPUs installed in a single node or across multiple nodes, and can be used in either single- or multi-process (e.g., MPI) applications. . This package contains the shared objects. Package: libnppc12 Description-md5: 371330c0e4596d14c1ae0b854eecfa9c Description-en: NVIDIA Performance Primitives core runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives core runtime library. Package: libnppial12 Description-md5: bedf7547f548db0fc00407b8bb5572af Description-en: NVIDIA Performance Primitives lib for Image Arithmetic and Logic NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Arithmetic and Logic operations, which is a sub-library of nppi. Package: libnppicc12 Description-md5: 5c43692beedf3cbda68cb3add3a2f55f Description-en: NVIDIA Performance Primitives lib for Image Color Conversion NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Color and sampling Conversion, which is a sub-library of nppi. Package: libnppidei12 Description-md5: 96ae21f243272a0c4cf855590b806f52 Description-en: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Data Exchange and Initialization, which is a sub-library of nppi. Package: libnppif12 Description-md5: 25b0779ba1f9f488a81add47bc943c6a Description-en: NVIDIA Performance Primitives lib for Image Filters NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Filters, which is a sub-library of nppi. Package: libnppig12 Description-md5: 1f9ccb01fdd747cf6305e037d1c19323 Description-en: NVIDIA Performance Primitives lib for Image Geometry transforms NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Geometry transforms, which is a sub-library of nppi. Package: libnppim12 Description-md5: f03f24db87826ca6b27a88b05bc823c0 Description-en: NVIDIA Performance Primitives lib for Image Morphological operations NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Morphological operations, which is a sub-library of nppi. Package: libnppist12 Description-md5: c9507fd21beb3b0609afeb40e63f4792 Description-en: NVIDIA Performance Primitives lib for Image Statistics NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Statistics and Linear Transformation, which is a sub-library of nppi. Package: libnppisu12 Description-md5: 37b8fa6ff382e1378e1a21c6d0074f80 Description-en: NVIDIA Performance Primitives lib for Image Support NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Support, which is a sub-library of nppi. Package: libnppitc12 Description-md5: d1f0489937a1662cf9d2bf3e68764e1f Description-en: NVIDIA Performance Primitives lib for Image Threshold and Compare NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Threshold and Compare, which is a sub-library of nppi. Package: libnpps12 Description-md5: 24aac8a47c80e58916c189d81d7a7714 Description-en: NVIDIA Performance Primitives for signal processing runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives runtime library for signal processing. Package: libnvblas12 Description-md5: e77f7a1f1173b44f2910c8a51eff1d1c Description-en: NVBLAS runtime library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs present in the system, when the characteristics of the call make it to speedup on a GPU. Package: libnvfatbin12 Description-md5: 7a87a6281711813c2f0abc1f1f00dd4f Description-en: NVIDIA compiler library for fatbin interaction The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the NVIDIA compiler runtime library for fatbin interaction. Package: libnvidia-ml-dev Description-md5: 1a3cdb21304c933ce9becbb20eb9aa0f Description-en: NVIDIA Management Library (NVML) development files The NVIDIA Management Library (NVML) provides a monitoring and management API. It provides a direct access to the queries and commands exposed via nvidia-smi. . This package contains the header file and depends on the driver-provided library. Package: libnvjitlink12 Description-md5: 795531b08acffe00a6ebc632c3d8e806 Description-en: NVIDIA Compiler JIT LTO Library NVIDIA's CUDA Compiler (NVCC) may apply Just-in-Time (JIT) Link-Time-Optimization (LTO) to improve performance of CUDA kernels comprised of multiple separate compilation units. . This package contains the NVIDIA Compiler JIT LTO runtime library. Package: libnvjpeg12 Description-md5: 623ac7d33181f0192b9126244e553a5c Description-en: NVIDIA JPEG library (nvJPEG) The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG decoding functionality for image formats commonly used in deep learning and hyperscale multimedia applications. The library offers single and batched JPEG decoding capabilities which efficiently utilize the available GPU resources for optimum performance; and the flexibility for users to manage the memory allocation needed for decoding. Package: libnvrtc-builtins12.4 Description-md5: a446d5189a000ea8dd760125227b0954 Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Builtins Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC Builtins library. Package: libnvrtc12 Description-md5: b1b9b1f5f271a283664f94ae0f1e94b4 Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC library. Package: libnvtoolsext1 Description-md5: 301861470547d1207ee0ad56dfa1ef90 Description-en: NVIDIA Tools Extension Library The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and ranges in your applications. Applications which integrate NVTX can use Nsight to capture and visualize these events and ranges. . This package contains the NVIDIA Tools Extension runtime library. Package: libnvvm4 Description-md5: 1efd5ade308f30b7de84c0430187211c Description-en: NVIDIA NVVM Library NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. . The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA GPUs. . This package contains the NVIDIA NVVM runtime library. Package: libparmetis-dev Description-md5: 839c770f477cb92f6af09275d807c484 Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Libs: Devel ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains files needed to develop programs using ParMetis. Package: libparmetis4.0 Description-md5: 17a6686f47a3b63f4328881bffab697b Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Shared Libs ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains the ParMetis shared libraries. Package: libparquet500 Description-md5: ec29991d4015e2784df03e590815b8ef Description-en: NVIDIA Nsight Systems internal library libparquet NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. . This package contains the internal library libparquet.so.500. Package: libsocl-contrib-1.4-1t64 Description-md5: 4a69ce3f02f2cf01466ed8b9a22d8758 Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains an OpenCL-compatible library interface to StarPU. This "contrib" version is built against CUDA. Package: libstarpu-contrib-1.4-9 Description-md5: f0ca811d02d6bbb6c830781bf9811bff Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains the main StarPU library This "contrib" version is built against CUDA. Package: libstarpu-contrib-dev Description-md5: e7f42763fbe9c087a6defa203190f56e Description-en: Task scheduler for heterogeneous multicore machines - dev StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains development headers and libraries. This "contrib" version is built against CUDA. Package: libstarpu-contrib-openmp-llvm-1.4-1t64 Description-md5: 0c4cf9967f5b66c184481dbb23c8faa6 Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains the runtime support for LLVM OpenMP. This "contrib" version is built against CUDA. Package: libstarpu-contribfft-1.4-1t64 Description-md5: 1079179920c93a735ab89566a3855d36 Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains a hybrid CPU+GPU FFT library. This "contrib" version is built against CUDA. Package: libstarpu-contribmpi-1.4-3t64 Description-md5: 4d3ce5602db3c9fbd91b7e19dcc14e2a Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains MPI extensions for StarPU. This "contrib" version is built against CUDA. Package: libstarpu-contribrm-1.4-1t64 Description-md5: 3008682b6502a417f1d5f1b0170499a0 Description-en: Task scheduler for heterogeneous multicore machines StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains the resource management library. This "contrib" version is built against CUDA. Package: libtensorpipe-cuda-0 Description-md5: b49a93726d4da68e6161824dc04f12b3 Description-en: tensor-aware point-to-point communication primitive for machine learning The TensorPipe project provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein (e.g., CUDA device-to-device copy). . This package contains shared objects. Package: libtensorpipe-cuda-dev Description-md5: 6b4397dd30e29fe70ebb4ea9c71ececf Description-en: tensor-aware point-to-point communication primitive for machine learning The TensorPipe project provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein (e.g., CUDA device-to-device copy). . This package contains development files. Package: libvmtk-dev Description-md5: 772372b2cf9ad0484215d3c141d3f02d Description-en: shared links and header files for vmtk The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels. . This package contains header files and shared library links. Package: libvmtk1.5 Description-md5: a4b9212e2146f917ee5c118ea209db85 Description-en: runtime libraries for vmtk The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels. . This package contains the shared runtime libraries. Package: nsight-compute Description-md5: ae73c3bbcf7dbd4b9a83f57a09c0d8b3 Description-en: NVIDIA Nsight Compute NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. Package: nsight-compute-target Description-md5: 63cc5f774d2e4cd2d5746e323baf9499 Description-en: NVIDIA Nsight Compute (target specific libraries) NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. . This package contains the target specific libraries. Package: nsight-systems Description-md5: 07ace54e5beaed541842de61e76de614 Description-en: NVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. Package: nsight-systems-target Description-md5: 314a9e91087893dedfe9c4aa99b10e74 Description-en: NVIDIA Nsight Systems (target specific libraries) NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. . This package contains the target specific libraries. Package: nvidia-cuda-dev Description-md5: 23a17262479fe7daf1cae67727e949c7 Description-en: NVIDIA CUDA development files The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the development files: headers and libraries. Package: nvidia-cuda-gdb Description-md5: 03d8613224997399b5d081ffb05a91f3 Description-en: NVIDIA CUDA Debugger (GDB) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the cuda-gdb debugger. Package: nvidia-cuda-toolkit Description-md5: 4df65757189fdcbdcc50ffa97fccca02 Description-en: NVIDIA CUDA development toolkit The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the nvcc compiler and other tools needed for building CUDA applications. . Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA driver kernel module. Package: nvidia-cuda-toolkit-doc Description-md5: 37628d7854344886d340076661277f47 Description-en: NVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA. Package: nvidia-cuda-toolkit-gcc Description-md5: 7ce75ce1d326c959ae1d41d38407d4e7 Description-en: NVIDIA CUDA development toolkit (GCC compatibility) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to simplify building packages that need to be built with a CUDA-compatible compiler. . This package ensures a deterministic nvcc/gcc combination is used by default and is therefore recommended to be used as build dependency for all source packages needing nvcc for building. Package: nvidia-cudnn Description-md5: aff2caf53c29838279b63dd35dec1798 Description-en: NVIDIA CUDA Deep Neural Network library (install script) The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK. . This package only contains the script "/usr/sbin/update-nvidia-cudnn" to download and install Nvidia cuDNN locally. It will be automatically invoked during installation. Package: nvidia-fs-dkms Description-md5: 72d9e86231846b86e7ec42b9fab514c0 Description-en: NVIDIA file-system - nvidia-fs.ko kernel driver GPUDirect Storage (GDS) enables a direct data path for direct memory access (DMA) transfers between GPU memory and storage, which avoids a bounce buffer through the CPU. . This package builds the nvidia-fs.ko kernel driver. Package: nvidia-opencl-dev Description-md5: 5404c4fac54bb1c7a833b77f92a02e84 Description-en: NVIDIA OpenCL development files OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This metapackage provides the development files: headers and libraries. Package: nvidia-profiler Description-md5: 83d361c54427ed94d5493552d5ade11b Description-en: NVIDIA Profiler for CUDA and OpenCL The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package contains the nvprof profiler. Package: 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: python3-vmtk Description-md5: 0688c258864f2b532dd99bf428123873 Description-en: Python 3 interface for vmtk The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels. . This package provides the Python 3 interface for vmtk. Package: qml-module-alicevision Description-md5: b0828498978adcbe98e36eee430a91bd Description-en: QML bindings for AliceVision Classes to load and visualize AliceVision data through QML. Makes the AliceVision backend available via the Meshroom frontend Package: qt6-alicevision-oiio-plugins Description-md5: 137f119453e49deba6864085fabb72c9 Description-en: Qt6 AliceVision library plugins An OpenImageIO backend for image IO in Qt: - Read RAW images from DSLRs - Read intermediate files of the AliceVision framework stored in EXR format Package: sift Description-md5: 7788bf12148938f8dc8e4675657ce605 Description-en: predicts if a substitution in a protein has a phenotypic effect SIFT is a sequence homology-based tool that sorts intolerant from tolerant amino acid substitutions and predicts whether an amino acid substitution in a protein will have a phenotypic effect. SIFT is based on the premise that protein evolution is correlated with protein function. Positions important for function should be conserved in an alignment of the protein family, whereas unimportant positions should appear diverse in an alignment. Package: slurm-wlm-nvml-plugin Description-md5: 382ad5eb1a96045c9ecbf90f2e89d21b Description-en: SLURM NVML plugins SLURM, the Simple Linux Utility for Resource Management, is an open-source cluster resource management and job scheduling. . This package contains the Nvidia NVML-based SLURM plugin. Package: slurm-wlm-nvml-plugin-dev Description-md5: 25e2f364af04a256ac8860bffe699da0 Description-en: SLURM NVML plugin development files SLURM, the Simple Linux Utility for Resource Management, is an open-source cluster resource management and job scheduling. . This package contains development files for the Nvidia NVML-based SLURM plugins. Package: starpu-contrib-examples Description-md5: 11b8c6811b08d3b761c4e2f5fd0e0890 Description-en: Task scheduler for heterogeneous multicore machines - exs StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains application examples. This "contrib" version is built against CUDA. Package: starpu-contrib-tools Description-md5: 21e204c0915cd3972a9cf41ad059d147 Description-en: Task scheduler for heterogeneous multicore machines - tools StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs or on Cell's SPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible. . This package contains StarPU tools. This "contrib" version is built against CUDA. Package: virtualbox Description-md5: 30f96d22c1a6ca04db16bdc1e79ad965 Description-en: x86 virtualization solution - base binaries VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the binaries for VirtualBox. Either the virtualbox-dkms or the virtualbox-source package is also required in order to compile the kernel modules needed for virtualbox. A graphical user interface for VirtualBox is provided by the package virtualbox-qt. Package: virtualbox-dkms Description-md5: 4d42f0fe51c4a92f2aed5071f84524ae Description-en: x86 virtualization solution - kernel module sources for dkms VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the source code for the virtualbox kernel module to be build with dkms. Kernel sources or headers are required to compile this module. Package: virtualbox-ext-pack Description-md5: d34299a0a1c7bf804958800947ea531c Description-en: extra capabilities for VirtualBox, downloader. VirtualBox requires an extension pack to provide support for Remote Desktop Protocol, USB 2.0, PXE booting for Intel network cards, etc. This PUEL-licensed extension pack is free for personal use. . This package downloads the extension pack from internet during install. Package: virtualbox-guest-utils Description-md5: 0c420aa026ad03a572b15c6e38dbebf7 Description-en: x86 virtualization solution - non-X11 guest utilities VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the non-X11 guest utilities for VirtualBox. These utilities are meant to be run inside the virtual machine. They provide closer integration and allow to share data through shared folders between the host system and the virtual machine. Package: virtualbox-guest-utils-hwe Description-md5: 085a4f5d1dd12642194b5145ef502845 Description-en: transitional package for virtualbox-guest-utils This is a transitional package for virtualbox-guest-utils. It can safely be removed Package: virtualbox-guest-x11 Description-md5: 3487afde0b114ec7e205b11f1dd3f7a5 Description-en: x86 virtualization solution - X11 guest utilities VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the X11 guest utilities for VirtualBox. These utilities are meant to be run inside the virtual machine. They provide closer integration and improve the interactive performance. Package: virtualbox-guest-x11-hwe Description-md5: 8c9e024d7632d31d73627e87a4c8bf2f Description-en: transitional package for virtualbox-guest-x11 This is a transitional package for virtualbox-guest-x11. It can safely be removed Package: virtualbox-qt Description-md5: 41ed29f36ba23b3ce0155f9a8efcff60 Description-en: x86 virtualization solution - Qt based user interface VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the Qt based graphical user interface for VirtualBox. Package: virtualbox-source Description-md5: 53035ede584988f3413156cb7a5dbe8b Description-en: x86 virtualization solution - kernel module source VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the source code for the virtualbox kernel module. The virtualbox package is also required in order to make use of these modules. Kernel sources or headers are required to compile this module. . The source is placed under /usr/src, and after decompression it can be built to produce a virtualbox-modules-_KVERS_ providing "virtualbox-modules" package. Package: vmtk Description-md5: 668c5f835f4051ad6db3ceb6bd7030bd Description-en: the Vascular Modeling Toolkit The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels. Package: xsnow Description-md5: 50f83ae2081d9d64cb36576ded637c7a Description-en: brings Christmas to your desktop Xsnow is a X Window application that will snow on the desktop background. Santa and his reindeer will complete your festive-season feeling. Xsnow runs in GNOME, KDE, FVWM and desktops that are derived from those. Package: firebuild Description-md5: 821df9f130bf6dc04882c929b27eab06 Description-en: Automatic build accelerator cache It works by caching the outputs of executed commands and replaying the results when the same commands are executed with the same parameters within the same environment. . The commands can be compilation or other build artifact generation steps, tests, or any command that produces predictable output. The commands to cache and replay from the cache are determined automatically based on firebuild's configuration and each command's and its children's observed behavior. . Firebuild supports caching compilation results of C, C++, Fortran, Java, Rust, Scala and other compilers and outputs of scripts written in Bash, Perl, Python and other interpreted languages. Package: libfirebuild0 Description-md5: 7486a378a0ac511b44dacd63318bbb34 Description-en: Automatic build accelerator cache - shared library It works by caching the outputs of executed commands and replaying the results when the same commands are executed with the same parameters within the same environment. . The commands can be compilation or other build artifact generation steps, tests, or any command that produces predictable output. The commands to cache and replay from the cache are determined automatically based on firebuild's configuration and each command's and its children's observed behavior. . Firebuild supports caching compilation results of C, C++, Fortran, Java, Rust, Scala and other compilers and outputs of scripts written in Bash, Perl, Python and other interpreted languages. . This package provides the shared library preloaded by the intercepted processes. Package: spellcast Description-md5: 87c580f42122b5255334fb4ec992f73c Description-en: Classic hand-waving multi-player game of spellcasting Spellcast is a classic game of might and magic for the X Windowing System based on the pen and pencil game Spellbinder, published in 1997. In the game, two or more wizards duke it out with spells, summoning monsters, and plain old poking with fingers.