Package: libaccinj64-11.3 Description-md5: 404daeb74b9a29243e00b395f84c5ada Description-en: NVIDIA ACCINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . ACCINJ is the OpenACC internal library for profiling. . This package contains the 64-bit ACCINJ runtime library. Package: libcublas11 Description-md5: 5d0c77d8f2c8429e53892a3a70d407c4 Description-en: NVIDIA cuBLAS Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuBLAS library is an implementation of BLAS (Basic Linear Algebra Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access the computational resources of NVIDIA Graphics Processing Unit (GPU), but does not auto-parallelize across multiple GPUs. . This package contains the cuBLAS runtime library. Package: libcublaslt11 Description-md5: 785c52463c947123d690fd61ff5b3adb Description-en: NVIDIA cuBLASLt Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuBLASLt library is a lightweight GEMM library with a flexible API and tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix multiplication. . This package contains the cuBLASLt runtime library. Package: libcudart11.0 Description-md5: d81acb8bf87762012a0607e71f8eff2e Description-en: NVIDIA CUDA Runtime Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the CUDA Runtime API library for high-level CUDA programming, on top of the CUDA Driver API. Package: libcufft10 Description-md5: 323d8bcdb5ce372c028cb925743b7ad1 Description-en: NVIDIA cuFFT Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFT runtime library. Package: libcufftw10 Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa Description-en: NVIDIA cuFFTW Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The FFT is a divide-and-conquer algorithm for efficiently computing discrete Fourier transforms of complex or real-valued data sets. It is one of the most important and widely used numerical algorithms in computational physics and general signal processing. The cuFFT library provides a simple interface for computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the floating-point power and parallelism of the GPU in a highly optimized and tested FFT library. . This package contains the cuFFTW runtime library. Package: libcuinj64-11.3 Description-md5: 9eca092b41526faa574873e622a445e3 Description-en: NVIDIA CUINJ Library (64-bit) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . CUINJ is the CUDA internal library for profiling. . This package contains the 64-bit CUINJ runtime library. Package: libcupti-dev Description-md5: 49cdc8386d120bdf14c58bebe2b3388d Description-en: NVIDIA CUDA Profiler Tools Interface development files The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the development files: headers and libraries. Package: libcupti-doc Description-md5: 0c6d9f272f89c82663423610515dd3eb Description-en: NVIDIA CUDA Profiler Tools Interface documentation The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the documentation and examples. Package: libcupti11.3 Description-md5: 65f2f1bea81316b239224ffd680c5064 Description-en: NVIDIA CUDA Profiler Tools Interface runtime library The CUDA Profiler Tools Interface (CUPTI) enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools. The CUPTI APIs are not intended to be used by developers in their CUDA applications. . This package contains the runtime library. Package: libcurand10 Description-md5: 05f7818fdfa9c23c51a9db2407910cae Description-en: NVIDIA cuRAND Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuRAND library provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers. A pseudorandom sequence of numbers satisfies most of the statistical properties of a truly random sequence but is generated by a deterministic algorithm. A quasirandom sequence of n-dimensional points is generated by a deterministic algorithm designed to fill an n-dimensional space evenly. . This package contains the cuRAND runtime library. Package: libcusolver11 Description-md5: a30cfc560fa3fdce643526b0177ea7ba Description-en: NVIDIA cuSOLVER Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVER runtime library. Package: libcusolvermg11 Description-md5: 6bd7798cc05ca17920d01c4430269d51 Description-en: NVIDIA cuSOLVERmg Library The cuSOLVER library contains LAPACK-like functions in dense and sparse linear algebra, including linear solver, least-square solver and eigenvalue solver. . This package contains the cuSOLVERmg runtime library. Package: libcusparse11 Description-md5: 12835bf1c971845122d660784efe714a Description-en: NVIDIA cuSPARSE Library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The cuSPARSE library contains a set of basic linear algebra subroutines used for handling sparse matrices. It is implemented on top of the NVIDIA CUDA runtime and is designed to be called from C and C++. The library routines can be classified into four categories: * Level 1: operations between a vector in sparse format and a vector in dense format * Level 2: operations between a matrix in sparse format and a vector in dense format * Level 3: operations between a matrix in sparse format and a set of vectors in dense format * Conversion: operations that allow conversion between different matrix formats . This package contains the cuSPARSE runtime library. Package: libegl-nvidia-tesla-460-0 Description-md5: badb3907c0e065c067ee6658afdaec55 Description-en: NVIDIA binary EGL library (Tesla 460 version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . See the description of the nvidia-tesla-460-driver package or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary EGL implementation provided by NVIDIA that is accessed via GLVND. Package: libegl1-nvidia-tesla-460 Description-md5: ad3b5201cfacf5372e4ea3782e92d693 Description-en: NVIDIA binary EGL library (non-GLVND variant) (Tesla 460 version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . This package contains the driver specific binary EGL implementation by NVIDIA as a non-GLVND alternative. Package: libgl1-nvidia-tesla-460-glvnd-glx Description-md5: 90873d3db92e6ecff70ad341a86ba9d8 Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . See the description of the nvidia-tesla-460-driver package or /usr/share/doc/libgl1-nvidia-tesla-460-glvnd-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using GLVND and the corresponding GLVND loader library. Package: libgles-nvidia-tesla-460-1 Description-md5: 03f4bdef7bad46319231b1875e4ac655 Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 460 version) OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . OpenGL|ES 1.x provides an API for fixed-function hardware. . See the description of the nvidia-tesla-460-driver package or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary OpenGL|ES 1.x implementation by NVIDIA that is accessed via GLVND. Package: libgles-nvidia-tesla-460-2 Description-md5: b41317a61cc0f42582b7eb4b6696f80d Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 460 version) OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . OpenGL|ES 2.x provides an API for programmable hardware including vertex and fragment shaders. . See the description of the nvidia-tesla-460-driver package or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary OpenGL|ES 2.x implementation by NVIDIA that is accessed via GLVND. Package: libglx-nvidia-tesla-460-0 Description-md5: a9518d2535a00f16f14121795859ee70 Description-en: NVIDIA binary GLX library (Tesla 460 version) GLX ("OpenGL Extension to the X Window System") provides an interface between OpenGL and the X Window System as well as extensions to OpenGL itself. . See the description of the nvidia-tesla-460-driver package or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary GLX implementation by NVIDIA that is accessed via GLVND. Package: libnppc11 Description-md5: 371330c0e4596d14c1ae0b854eecfa9c Description-en: NVIDIA Performance Primitives core runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives core runtime library. Package: libnppial11 Description-md5: bedf7547f548db0fc00407b8bb5572af Description-en: NVIDIA Performance Primitives lib for Image Arithmetic and Logic NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Arithmetic and Logic operations, which is a sub-library of nppi. Package: libnppicc11 Description-md5: 5c43692beedf3cbda68cb3add3a2f55f Description-en: NVIDIA Performance Primitives lib for Image Color Conversion NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Color and sampling Conversion, which is a sub-library of nppi. Package: libnppidei11 Description-md5: 96ae21f243272a0c4cf855590b806f52 Description-en: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Data Exchange and Initialization, which is a sub-library of nppi. Package: libnppif11 Description-md5: 25b0779ba1f9f488a81add47bc943c6a Description-en: NVIDIA Performance Primitives lib for Image Filters NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Filters, which is a sub-library of nppi. Package: libnppig11 Description-md5: 1f9ccb01fdd747cf6305e037d1c19323 Description-en: NVIDIA Performance Primitives lib for Image Geometry transforms NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Geometry transforms, which is a sub-library of nppi. Package: libnppim11 Description-md5: f03f24db87826ca6b27a88b05bc823c0 Description-en: NVIDIA Performance Primitives lib for Image Morphological operations NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Morphological operations, which is a sub-library of nppi. Package: libnppist11 Description-md5: c9507fd21beb3b0609afeb40e63f4792 Description-en: NVIDIA Performance Primitives lib for Image Statistics NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Statistics and Linear Transformation, which is a sub-library of nppi. Package: libnppisu11 Description-md5: 37b8fa6ff382e1378e1a21c6d0074f80 Description-en: NVIDIA Performance Primitives lib for Image Support NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Support, which is a sub-library of nppi. Package: libnppitc11 Description-md5: d1f0489937a1662cf9d2bf3e68764e1f Description-en: NVIDIA Performance Primitives lib for Image Threshold and Compare NVIDIA NPP is a library of functions for performing CUDA accelerated processing. . This package contains the NVIDIA Performance Primitives runtime library for Image Threshold and Compare, which is a sub-library of nppi. Package: libnpps11 Description-md5: 24aac8a47c80e58916c189d81d7a7714 Description-en: NVIDIA Performance Primitives for signal processing runtime library NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set offunctionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains. The NPP library is written to maximize flexibility, while maintaining high performance. . This package contains the NVIDIA Performance Primitives runtime library for signal processing. Package: libnvblas11 Description-md5: e77f7a1f1173b44f2910c8a51eff1d1c Description-en: NVBLAS runtime library The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs present in the system, when the characteristics of the call make it to speedup on a GPU. Package: libnvidia-extra-455 Description-md5: 75786b58731ef4539a2ad15d1d5e430e Description-en: Transitional package for libnvidia-extra-460 This is a transitional package for libnvidia-extra-460, and can be safely removed after the installation is complete. 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: libnvidia-tesla-460-allocator1 Description-md5: 8ec6ba60b215d3f4f0ed1f41cc86f724 Description-en: NVIDIA allocator runtime library (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains the private nvidia-allocator runtime library. Package: libnvidia-tesla-460-cbl Description-md5: 2cc9b554f6c7c752bec9c08ea06cff1e Description-en: NVIDIA binary Vulkan ray tracing (cbl) library (Tesla 460 version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This library is part of the Vulkan real-time ray tracing extensions (VK_NV_raytracing) implementation by NVIDIA. . This package contains the private cbl library used by the NVIDIA implementation of Vulkan. Package: libnvidia-tesla-460-cfg1 Description-md5: 516d7e9dd7aadc82e6a62b6379317f9f Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains the libnvidia-cfg.so.1 runtime library. Package: libnvidia-tesla-460-compiler Description-md5: a5d3d3aa47fe0d46b64e68af58f37f72 Description-en: NVIDIA runtime compiler library (Tesla 460 version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the runtime compiler library. Package: libnvidia-tesla-460-cuda1 Description-md5: f55f8fe2d402108ca62a4f328b6e17e2 Description-en: NVIDIA CUDA Driver Library (Tesla 460 version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the CUDA Driver API library for low-level CUDA programming. . Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX series, as well as the Tesla computing processors. . Please see the nvidia-tesla-460-kernel-dkms or nvidia-tesla-460-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-460-kernel-460.73.01. Package: libnvidia-tesla-460-eglcore Description-md5: 21ca89a16bf00c298cbcb32570a435f1 Description-en: NVIDIA binary EGL core libraries (Tesla 460 version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . This package contains the private core libraries used by the NVIDIA implementation of EGL and OpenGL|ES. Package: libnvidia-tesla-460-encode1 Description-md5: d106f301955e463a7d479fc98c245e4c Description-en: NVENC Video Encoding runtime library (Tesla 460 version) The NVENC Video Encoding library provides an interface to video encoder hardware on supported NVIDIA GPUs. . This package contains the nvidia-encode runtime library. Package: libnvidia-tesla-460-fbc1 Description-md5: f488ea2a4429cb864e4f8ff89352c7e6 Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 460 version) The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides a high performance, low latency interface to capture and optionally encode an OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to approved partners for use in remote graphics scenarios. . This package contains the NvFBCOpenGL runtime library. Package: libnvidia-tesla-460-glcore Description-md5: 26e2216900eec6dc044490ea72c2ffae Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains the private core libraries used by the NVIDIA implementation of OpenGL and GLX. Package: libnvidia-tesla-460-glvkspirv Description-md5: cf2cf53c31bd526c4e4b89a898ad9a7b Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 460 version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader compilation time and shader system memory consumption. . This package contains the private Spir-V compiler libraries used by the NVIDIA implementation of Vulkan. Package: libnvidia-tesla-460-ifr1 Description-md5: 3b87afe7c831c5bb615a1028b18659e6 Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla 460) The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides a high performance, low latency interface to capture and optionally encode an OpenGL framebuffer. NvIFROpenGL is a private API that is only available to approved partners for use in remote graphics scenarios. . This package contains the NvIFROpenGL runtime library. Package: libnvidia-tesla-460-ml1 Description-md5: 6a0f36fe77d1e96c734a0bed91baf117 Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 460 version) The NVIDIA Management Library (NVML) provides a monitoring and management API. It provides a direct access to the queries and commands exposed via nvidia-smi. . This package contains the nvidia-ml runtime library. Package: libnvidia-tesla-460-ngx1 Description-md5: b46148b686074165bd8f7b4b82a0f972 Description-en: NVIDIA NGX runtime library (Tesla 460) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains the NVIDIA NGX runtime library. Package: libnvidia-tesla-460-nvcuvid1 Description-md5: b74fdf8d35a003e4b8ead0fc8d821bb1 Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 460 version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to hardware video decoding capabilities on NVIDIA GPUs with CUDA. . This package contains the nvcuvid runtime library. Package: libnvidia-tesla-460-nvoptix1 Description-md5: f35c49a7b3663ec4689e4fd5e6039d04 Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla 460 version) The OptiX API is an application framework for achieving optimal ray tracing performance on the GPU. . This package contains runtime library of the OptiX ray tracing engine implementation for NVIDIA CUDA. It is used by liboptix.so.* coming with applications using the OptiX API. Package: libnvidia-tesla-460-opticalflow1 Description-md5: e59eeb0b2246066e680518cb12dac1a3 Description-en: NVIDIA Optical Flow runtime library (Tesla 460 version) The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing GPUs dedicated to computing the relative motion of pixels between images. . This package contains the Optical Flow runtime library. Package: libnvidia-tesla-460-ptxjitcompiler1 Description-md5: 0af275d87f95030d1a0114029bbeab15 Description-en: NVIDIA PTX JIT Compiler (Tesla 460 version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the runtime PTX JIT compiler library. Package: libnvidia-tesla-460-rtcore Description-md5: 1826f48f1d7f35a06f66825a66591781 Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla 460 version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This library is part of the Vulkan real-time ray tracing extensions (VK_NV_raytracing) implementation by NVIDIA. . This package contains the private rtcore library used by the NVIDIA implementation of Vulkan. Package: libnvjpeg11 Description-md5: 623ac7d33181f0192b9126244e553a5c Description-en: NVIDIA JPEG library (nvJPEG) The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG decoding functionality for image formats commonly used in deep learning and hyperscale multimedia applications. The library offers single and batched JPEG decoding capabilities which efficiently utilize the available GPU resources for optimum performance; and the flexibility for users to manage the memory allocation needed for decoding. Package: libnvrtc11.2 Description-md5: b1b9b1f5f271a283664f94ae0f1e94b4 Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Library) CUDA Runtime Compilation library (nvrtc) provides an API to compile CUDA-C++ device source code at runtime. . The resulting compiled PTX can be launched on a GPU using the CUDA Driver API. . This package contains the NVRTC library. Package: libnvtoolsext1 Description-md5: 301861470547d1207ee0ad56dfa1ef90 Description-en: NVIDIA Tools Extension Library The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and ranges in your applications. Applications which integrate NVTX can use Nsight to capture and visualize these events and ranges. . This package contains the NVIDIA Tools Extension runtime library. Package: libnvvm4 Description-md5: 1efd5ade308f30b7de84c0430187211c Description-en: NVIDIA NVVM Library NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. . The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA GPUs. . This package contains the NVIDIA NVVM runtime library. Package: linux-modules-nvidia-390-5.13.0-7-generic Description-md5: 0c16bf8b8f76a163c722f73790e83b05 Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-390-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-390-5.13.0-7-lowlatency Description-md5: 82b40b6db0a864487fac6a40248c5378 Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-390-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-390-generic-wip Description-md5: 8c2d029a8db22eee5f3b2988fc4b1eed Description-en: Extra drivers for nvidia-390 for the generic-wip flavour Install extra signed nvidia-390 modules compatible with the generic-wip flavour. Package: linux-modules-nvidia-390-lowlatency-wip Description-md5: 28d15eb9200b1528e554b3b416ee8dd9 Description-en: Extra drivers for nvidia-390 for the lowlatency-wip flavour Install extra signed nvidia-390 modules compatible with the lowlatency-wip flavour. Package: linux-modules-nvidia-435-generic-wip Description-md5: 269f7964e9cadf4ec494d7f9c7172394 Description-en: Extra drivers for nvidia-435 for the generic flavour (dummy transitional package) Transitional package for upgrades of -435 to -460. Package: linux-modules-nvidia-435-lowlatency-wip Description-md5: 3b2c4dc5cff534a47808214fac92b4b8 Description-en: Extra drivers for nvidia-435 for the lowlatency flavour (dummy transitional package) Transitional package for upgrades of -435 to -460. Package: linux-modules-nvidia-450-generic-wip Description-md5: bd8decdd7fddd64370115e8cf81fdd73 Description-en: Extra drivers for nvidia-450 for the generic flavour (dummy transitional package) Transitional package for upgrades of -450 to -460. Package: linux-modules-nvidia-450-lowlatency-wip Description-md5: f9acc2828f54ef9e7693d33cabb377bf Description-en: Extra drivers for nvidia-450 for the lowlatency flavour (dummy transitional package) Transitional package for upgrades of -450 to -460. Package: linux-modules-nvidia-455-generic-wip Description-md5: 2ce292a4be1879b95c21d84b1a142e89 Description-en: Extra drivers for nvidia-455 for the generic flavour (dummy transitional package) Transitional package for upgrades of -455 to -460. Package: linux-modules-nvidia-455-lowlatency-wip Description-md5: 8ac5d7f5a35c21cc620b563ed5235865 Description-en: Extra drivers for nvidia-455 for the lowlatency flavour (dummy transitional package) Transitional package for upgrades of -455 to -460. Package: linux-modules-nvidia-460-5.13.0-7-generic Description-md5: c73d84ffd9b4be16532a9e0037c7fdc9 Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-460-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-460-5.13.0-7-lowlatency Description-md5: a7c4cfad3fd13f7002fa3ba9990a39dd Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-460-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-460-generic-wip Description-md5: 59531af5385c5b75176c0e060fd633cd Description-en: Extra drivers for nvidia-460 for the generic-wip flavour Install extra signed nvidia-460 modules compatible with the generic-wip flavour. Package: linux-modules-nvidia-460-lowlatency-wip Description-md5: 90adc82a925dafd4d80d3b97b211130c Description-en: Extra drivers for nvidia-460 for the lowlatency-wip flavour Install extra signed nvidia-460 modules compatible with the lowlatency-wip flavour. Package: linux-modules-nvidia-465-5.13.0-7-generic Description-md5: 168f3e848aaaf0b3382ab23cab007359 Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-465-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-465-5.13.0-7-lowlatency Description-md5: 487e421dea30a4f3b9074dcdf1d57a47 Description-en: Linux kernel nvidia modules for version 5.13.0-7 This package pulls together the Linux kernel nvidia modules for version 5.13.0-7 with the appropriate signatures. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-465-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-modules-nvidia-465-generic-wip Description-md5: 54ba4aa2b4f824e997b3fee1358be610 Description-en: Extra drivers for nvidia-465 for the generic-wip flavour Install extra signed nvidia-465 modules compatible with the generic-wip flavour. Package: linux-modules-nvidia-465-lowlatency-wip Description-md5: e0aa2c45b95617a4be4280d904785a2a Description-en: Extra drivers for nvidia-465 for the lowlatency-wip flavour Install extra signed nvidia-465 modules compatible with the lowlatency-wip flavour. Package: linux-objects-nvidia-390-5.13.0-7-generic Description-md5: 3606c79f2445592ebb51317d57095293 Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-390-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-objects-nvidia-390-5.13.0-7-lowlatency Description-md5: 2f8cfa435484934edd1829afa0267694 Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-390-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-objects-nvidia-460-5.13.0-7-generic Description-md5: 0ea4d8f0278503aafa27525bba918857 Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-460-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-objects-nvidia-460-5.13.0-7-lowlatency Description-md5: 7d85783b737beabd58cb06b4af9c52b1 Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-460-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-objects-nvidia-465-5.13.0-7-generic Description-md5: c5397630c23f6c7bd9a3533e6fbbfd8a Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-465-generic* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: linux-objects-nvidia-465-5.13.0-7-lowlatency Description-md5: b109b3d119f6a340002062d1a03b63fd Description-en: Linux kernel nvidia modules for version 5.13.0-7 (objects) This package contains the Linux kernel nvidia modules for version 5.13.0-7. . You likely do not want to install this package directly. Instead, install the one of the linux-modules-nvidia-465-lowlatency* meta-packages, which will ensure that upgrades work correctly, and that supporting packages are also installed. Package: nsight-compute Description-md5: ae73c3bbcf7dbd4b9a83f57a09c0d8b3 Description-en: NVIDIA Nsight Compute NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. Package: nsight-compute-target Description-md5: 63cc5f774d2e4cd2d5746e323baf9499 Description-en: NVIDIA Nsight Compute (target specific libraries) NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool. In addition, its baseline feature allows users to compare results within the tool. Nsight Compute provides a customizable and data-driven user interface and metric collection and can be extended with analysis scripts for post-processing results. . This package contains the target specific libraries. Package: nsight-systems Description-md5: 07ace54e5beaed541842de61e76de614 Description-en: NVIDIA Nsight Systems NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. Package: nsight-systems-target Description-md5: 314a9e91087893dedfe9c4aa99b10e74 Description-en: NVIDIA Nsight Systems (target specific libraries) NVIDIA Nsight Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to smallest SoCs. . This package contains the target specific libraries. Package: nvidia-cuda-dev Description-md5: 23a17262479fe7daf1cae67727e949c7 Description-en: NVIDIA CUDA development files The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the development files: headers and libraries. Package: nvidia-cuda-gdb Description-md5: 03d8613224997399b5d081ffb05a91f3 Description-en: NVIDIA CUDA Debugger (GDB) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the cuda-gdb debugger. Package: nvidia-cuda-toolkit Description-md5: 4df65757189fdcbdcc50ffa97fccca02 Description-en: NVIDIA CUDA development toolkit The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the nvcc compiler and other tools needed for building CUDA applications. . Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA driver kernel module. Package: nvidia-cuda-toolkit-doc Description-md5: 37628d7854344886d340076661277f47 Description-en: NVIDIA CUDA and OpenCL documentation The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . Note that CUDA documentation is no longer bundled with CUDA toolkit releases. Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA. Package: nvidia-cuda-toolkit-gcc Description-md5: 3fb666316ef4562383ecd8260bc3bc9f Description-en: NVIDIA CUDA development toolkit (GCC compatibility) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to simplify building packages that need to be built with a CUDA-compatible compiler. Package: nvidia-opencl-dev Description-md5: 5404c4fac54bb1c7a833b77f92a02e84 Description-en: NVIDIA OpenCL development files OpenCL (Open Computing Language) is a multi-vendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This metapackage provides the development files: headers and libraries. Package: nvidia-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-settings-tesla-418 Description-md5: b3439a634d1933a3a9d83bcd62f37600 Description-en: tool for configuring the NVIDIA graphics driver (Tesla 418 version) The nvidia-settings utility is a tool for configuring the NVIDIA Linux graphics driver. It operates by communicating with the NVIDIA X driver, querying and updating state as appropriate. This communication is done with the NV-CONTROL X extension. . Values such as brightness and gamma, XVideo attributes, temperature, and OpenGL settings can be queried and configured via nvidia-settings. Package: nvidia-settings-tesla-440 Description-md5: 9e57d537b5cadbb0f6a16228f0ac19be Description-en: tool for configuring the NVIDIA graphics driver (Tesla 440 version) The nvidia-settings utility is a tool for configuring the NVIDIA Linux graphics driver. It operates by communicating with the NVIDIA X driver, querying and updating state as appropriate. This communication is done with the NV-CONTROL X extension. . Values such as brightness and gamma, XVideo attributes, temperature, and OpenGL settings can be queried and configured via nvidia-settings. Package: nvidia-settings-tesla-450 Description-md5: da62de6d7ee0b5ae05ccbf23bac833ae Description-en: tool for configuring the NVIDIA graphics driver (Tesla 450 version) The nvidia-settings utility is a tool for configuring the NVIDIA Linux graphics driver. It operates by communicating with the NVIDIA X driver, querying and updating state as appropriate. This communication is done with the NV-CONTROL X extension. . Values such as brightness and gamma, XVideo attributes, temperature, and OpenGL settings can be queried and configured via nvidia-settings. Package: nvidia-settings-tesla-460 Description-md5: 7336d3188b32c77ec9f47d29b9bd95b8 Description-en: tool for configuring the NVIDIA graphics driver (Tesla 460 version) The nvidia-settings utility is a tool for configuring the NVIDIA Linux graphics driver. It operates by communicating with the NVIDIA X driver, querying and updating state as appropriate. This communication is done with the NV-CONTROL X extension. . Values such as brightness and gamma, XVideo attributes, temperature, and OpenGL settings can be queried and configured via nvidia-settings. Package: nvidia-tesla-460-alternative Description-md5: 1fe52d0fc0b7bae8336a48a35e98bfcc Description-en: allows the selection of NVIDIA as GLX provider (Tesla 460 version) In setups with several NVIDIA driver versions installed (e.g. current and legacy) this metapackage registers an alternative to allow easy switching between the different versions. . Use 'update-glx --config nvidia' to select a version. . This package does not depend on the corresponding NVIDIA libraries. In order to install the NVIDIA driver and libraries, install the nvidia-tesla-460-driver package instead. Package: nvidia-tesla-460-driver Description-md5: 51e310099d8280e48d1a995e12603128 Description-en: NVIDIA metapackage (Tesla 460 version) This metapackage depends on the NVIDIA binary driver and libraries that provide optimized hardware acceleration of OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server. . Please see the nvidia-tesla-460-kernel-dkms or nvidia-tesla-460-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-460-kernel-460.73.01. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-driver/README.txt.gz for a complete list of supported GPUs and PCI IDs. . Building the kernel module has been tested up to Linux 5.10. Package: nvidia-tesla-460-driver-bin Description-md5: d1f8ff34784c7b360d439d381a8e5b96 Description-en: NVIDIA driver support binaries (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains supporting binaries for the driver. Package: nvidia-tesla-460-driver-libs Description-md5: b18467672ca090cb6594b63c9cee0b6a Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 460 version) This metapackage depends on the NVIDIA binary libraries that provide optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server. Package: nvidia-tesla-460-egl-icd Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb Description-en: NVIDIA EGL installable client driver (ICD) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . This metapackage provides the NVIDIA installable client driver (ICD) for EGL via GLVND which supports NVIDIA GPUs. Package: nvidia-tesla-460-kernel-dkms Description-md5: 8216dcae496d09fb50d30068de3cd106 Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version) This package builds the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver, using DKMS. Provided that you have the kernel header packages installed, the kernel module will be built for your running kernel and automatically rebuilt for any new kernel headers that are installed. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the amd64 architecture. Building the kernel modules has been tested up to Linux 5.10. Package: nvidia-tesla-460-kernel-source Description-md5: 7637d0caced332ab0b150e3121ae25f4 Description-en: NVIDIA binary kernel module source (Tesla 460 version) This package provides the source for the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver in a form suitable for use by module-assistant or kernel-package. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz for building information. If you want the kernel module to be automatically installed via DKMS, install nvidia-tesla-460-kernel-dkms instead. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the amd64 architecture. Building the kernel modules has been tested up to Linux 5.10. Package: nvidia-tesla-460-kernel-support Description-md5: 2f3a8b7a7e2104c9913f3abff44cb80b Description-en: NVIDIA binary kernel module support files (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package provides supporting configuration for the kernel module. Package: nvidia-tesla-460-opencl-icd Description-md5: f783a876e19685cbe081a768edefc88f Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 460 version) OpenCL (Open Computing Language) is a multivendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package provides the NVIDIA installable client driver (ICD) for OpenCL which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only. Package: nvidia-tesla-460-smi Description-md5: 47c41253a057ac0aeeb67410a710329f Description-en: NVIDIA System Management Interface (Tesla 460 version) The NVIDIA Management Library (NVML) provides a monitoring and management API. The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI) and provides a command line interface to this functionality. . See the output from the --help command line option for supported models and further information. Package: nvidia-tesla-460-vdpau-driver Description-md5: 2673e34ffe502fd4384c2fa21dbc6c32 Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 460) These libraries provide the Video Decode and Presentation API for Unix. They provide accelerated video playback (incl. H.264) for the supported graphics cards. . This package contains the NVIDIA VDPAU driver. . See /usr/share/doc/nvidia-tesla-460-vdpau-driver/README.txt.gz for more information. . Please see the nvidia-tesla-460-kernel-dkms or nvidia-tesla-460-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-460-kernel-460.73.01. Package: nvidia-tesla-460-vulkan-icd Description-md5: 2c40d33564a42d6215ae2127f8c6725b Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 460 version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This metapackage provides the NVIDIA installable client driver (ICD) for Vulkan (GLVND variant) which supports NVIDIA GPUs. Package: 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: python-pycuda-doc Description-md5: 4b4f2b1e8b32879eefe98c99f3a598ba Description-en: module to access Nvidia‘s CUDA computation API (documentation) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains HTML documentation and example scripts. Package: python3-pycuda Description-md5: 4f446cb70e3ba6723eaae62a94efb36c Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains Python 3 modules. Package: python3-pycuda-dbg Description-md5: 2408be5275171c7291f7d0f275b7d393 Description-en: Python 3 module to access Nvidia‘s CUDA API (debug extensions) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains debug extensions for the Python 3 debug interpreter. Package: xserver-xorg-video-nvidia-tesla-460 Description-md5: f3f7f3b9d5b6644283f859d6ce3909d9 Description-en: NVIDIA binary Xorg driver (Tesla 460 version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . Please see the nvidia-tesla-460-kernel-dkms or nvidia-tesla-460-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-460-kernel-460.73.01. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-driver/README.txt.gz for a complete list of supported GPUs and PCI IDs. Package: nvidia-tesla-460-kernel-dkms Description-md5: dd1c17d8695782e1f42ac41bd76e7e87 Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version) This package builds the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver, using DKMS. Provided that you have the kernel header packages installed, the kernel module will be built for your running kernel and automatically rebuilt for any new kernel headers that are installed. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the arm64 architecture. Building the kernel modules has been tested up to Linux 5.10. Package: nvidia-tesla-460-kernel-source Description-md5: 0c79571b96285213eb3f91641cd5ccdb Description-en: NVIDIA binary kernel module source (Tesla 460 version) This package provides the source for the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver in a form suitable for use by module-assistant or kernel-package. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz for building information. If you want the kernel module to be automatically installed via DKMS, install nvidia-tesla-460-kernel-dkms instead. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the arm64 architecture. Building the kernel modules has been tested up to Linux 5.10. Package: libegl-nvidia-tesla0 Description-md5: e2db07a49472d46ee0a3460e0f12a86f Description-en: NVIDIA binary EGL library (Tesla version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary EGL implementation provided by NVIDIA that is accessed via GLVND. Package: libegl1-nvidia-tesla Description-md5: f1740f2e89632c8ca8e13361ac13d537 Description-en: NVIDIA binary EGL library (non-GLVND variant) (Tesla version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . This package contains the driver specific binary EGL implementation by NVIDIA as a non-GLVND alternative. Package: libgl1-nvidia-tesla-glvnd-glx Description-md5: 6365e440f7180bb36d5d503430885c78 Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glvnd-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using GLVND and the corresponding GLVND loader library. Package: libgl1-nvidia-tesla-glx Description-md5: 804f423c348c2c517bc264e1ca96d314 Description-en: NVIDIA binary OpenGL/GLX library (non-GLVND variant) (Tesla version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary OpenGL/GLX implementation provided by NVIDIA as a non-GLVND alternative. Package: libgles-nvidia-tesla1 Description-md5: cf367c3cc147ef0de7943da71c5d589d Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla version) OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . OpenGL|ES 1.x provides an API for fixed-function hardware. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary OpenGL|ES 1.x implementation by NVIDIA that is accessed via GLVND. Package: libgles-nvidia-tesla2 Description-md5: aed1cdcc239a3ee9ea999c7efe4f6982 Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla version) OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . OpenGL|ES 2.x provides an API for programmable hardware including vertex and fragment shaders. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary OpenGL|ES 2.x implementation by NVIDIA that is accessed via GLVND. Package: libglx-nvidia-tesla0 Description-md5: 87aaccde9704c37428e757c723173143 Description-en: NVIDIA binary GLX library (Tesla version) GLX ("OpenGL Extension to the X Window System") provides an interface between OpenGL and the X Window System as well as extensions to OpenGL itself. . See the description of the nvidia-tesla-driver package or /usr/share/doc/libgl1-nvidia-tesla-glx/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the driver specific binary GLX implementation by NVIDIA that is accessed via GLVND. Package: libnvidia-tesla-compiler Description-md5: b2c3a78b69dda907574b914f41c5b1d7 Description-en: NVIDIA runtime compiler library (Tesla version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the runtime compiler library. Package: libnvidia-tesla-cuda1 Description-md5: 758cd464dd96228c6ade2e17d28642e9 Description-en: NVIDIA CUDA Driver Library (Tesla version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the CUDA Driver API library for low-level CUDA programming. . Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX series, as well as the Tesla computing processors. . Please see the nvidia-tesla-kernel-dkms or nvidia-tesla-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-kernel-418.87.01. Package: libnvidia-tesla-cuda1-i386 Description-md5: 6364ff1348b9793adba57f37ebe4a607 Description-en: NVIDIA CUDA 32-bit runtime library (Tesla version) This metapackage helps the automatic installation of the 32-bit NVIDIA CUDA library when installing libnvidia-tesla-cuda1 on amd64 with foreign architecture i386 enabled. Package: libnvidia-tesla-eglcore Description-md5: 9144032e81e5a8eb598e25bca2e495e7 Description-en: NVIDIA binary EGL core libraries (Tesla version) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on embedded systems - including consoles, phones, appliances and vehicles. It contains a subset of OpenGL plus a number of extensions for the special needs of embedded systems. . This package contains the private core libraries used by the NVIDIA implementation of EGL and OpenGL|ES. Package: libnvidia-tesla-encode1 Description-md5: dc1eb999b5171870a061f5675b806482 Description-en: NVENC Video Encoding runtime library (Tesla version) The NVENC Video Encoding library provides an interface to video encoder hardware on supported NVIDIA GPUs. . This package contains the nvidia-encode runtime library. Package: libnvidia-tesla-fatbinaryloader Description-md5: 120353cf429c8aa75f17e85fbf9d08d9 Description-en: NVIDIA FAT binary loader (Tesla version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the FAT multiarchitecture binary loader. Package: libnvidia-tesla-fbc1 Description-md5: 57f0662f7389329c031b3c513b4942fb Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla version) The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides a high performance, low latency interface to capture and optionally encode an OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to approved partners for use in remote graphics scenarios. . This package contains the NvFBCOpenGL runtime library. Package: libnvidia-tesla-glcore Description-md5: 177e168e93293904fa25554439de6b1a Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla version) The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This package contains the private core libraries used by the NVIDIA implementation of OpenGL and GLX. Package: libnvidia-tesla-glvkspirv Description-md5: f31a8ae72dac82b9c0a1f674838b183a Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader compilation time and shader system memory consumption. . This package contains the private Spir-V compiler libraries used by the NVIDIA implementation of Vulkan. Package: libnvidia-tesla-ifr1 Description-md5: 7383bc5e224512a80b0d4da36b518e97 Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla version) The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides a high performance, low latency interface to capture and optionally encode an OpenGL framebuffer. NvIFROpenGL is a private API that is only available to approved partners for use in remote graphics scenarios. . This package contains the NvIFROpenGL runtime library. Package: libnvidia-tesla-ml1 Description-md5: a4a97d28c11ee0efeb3e8ae672448367 Description-en: NVIDIA Management Library (NVML) runtime library (Tesla version) The NVIDIA Management Library (NVML) provides a monitoring and management API. It provides a direct access to the queries and commands exposed via nvidia-smi. . This package contains the nvidia-ml runtime library. Package: libnvidia-tesla-nvcuvid1 Description-md5: 3750419d434b8c36b6adfe44d0a676c0 Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to hardware video decoding capabilities on NVIDIA GPUs with CUDA. . This package contains the nvcuvid runtime library. Package: libnvidia-tesla-opticalflow1 Description-md5: f7b21a7e570541ce370b1f054073941a Description-en: NVIDIA Optical Flow runtime library (Tesla version) The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing GPUs dedicated to computing the relative motion of pixels between images. . This package contains the Optical Flow runtime library. Package: libnvidia-tesla-ptxjitcompiler1 Description-md5: 49ae231f1e45c33c7cb3a98206be1531 Description-en: NVIDIA PTX JIT Compiler (Tesla version) The Compute Unified Device Architecture (CUDA) enables NVIDIA graphics processing units (GPUs) to be used for massively parallel general purpose computation. . This package contains the runtime PTX JIT compiler library. Package: nvidia-tesla-alternative Description-md5: 0f3647e4987137e6bf80cc71109d5c42 Description-en: allows the selection of NVIDIA as GLX provider (Tesla version) In setups with several NVIDIA driver versions installed (e.g. current and legacy) this metapackage registers an alternative to allow easy switching between the different versions. . Use 'update-glx --config nvidia' to select a version. . This package does not depend on the corresponding NVIDIA libraries. In order to install the NVIDIA driver and libraries, install the nvidia-tesla-driver package instead. Package: nvidia-tesla-driver-libs Description-md5: 5dbf12877f7afc02100aa32633555d69 Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla version) This metapackage depends on the NVIDIA binary libraries that provide optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server. Package: nvidia-tesla-driver-libs-i386 Description-md5: 62e944d2a1228df245e86a9ecdbd4084 Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES 32-bit libraries) (Tesla version) This metapackage helps the automatic installation of the 32-bit NVIDIA OpenGL/GLX/EGL/GLES libraries when installing nvidia-tesla-driver-libs on amd64 with foreign architecture i386 enabled. Package: nvidia-tesla-driver-libs-nonglvnd Description-md5: 008b9e8b013fa10081bda546047abd21 Description-en: NVIDIA metapackage (non-GLVND OpenGL/GLX/EGL/GLES libraries) (Tesla version) This metapackage depends on the (non-GLVND) NVIDIA binary libraries that provide optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server. Package: nvidia-tesla-driver-libs-nonglvnd-i386 Description-md5: 84ef304e16ca7e78b201fd228282e094 Description-en: NVIDIA metapackage (non-GLVND OpenGL/EGL etc. 32-bit libraries) (Tesla version) This metapackage helps the automatic installation of the 32-bit NVIDIA OpenGL/GLX/EGL/GLES libraries when installing nvidia-tesla-driver-libs-nonglvnd on amd64 with foreign architecture i386 enabled. Package: nvidia-tesla-egl-icd Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb Description-en: NVIDIA EGL installable client driver (ICD) EGL provides a platform-agnostic mechanism for creating rendering surfaces for use with other graphics libraries, such as OpenGL|ES. . This metapackage provides the NVIDIA installable client driver (ICD) for EGL via GLVND which supports NVIDIA GPUs. Package: nvidia-tesla-nonglvnd-vulkan-icd Description-md5: 43603c696c0a38573db949bcc63224be Description-en: NVIDIA Vulkan ICD (non-GLVND variant) (Tesla version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This metapackage provides the NVIDIA installable client driver (ICD) for Vulkan (non-GLVND variant) which supports NVIDIA GPUs. Package: nvidia-tesla-opencl-icd Description-md5: e7e103b7f23051fa5411717a1e7c1fd5 Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla version) OpenCL (Open Computing Language) is a multivendor open standard for general-purpose parallel programming of heterogeneous systems that include CPUs, GPUs and other processors. . This package provides the NVIDIA installable client driver (ICD) for OpenCL which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only. Package: nvidia-tesla-vdpau-driver Description-md5: 1718057f1708db5b939c6d4718e7adf7 Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla version) These libraries provide the Video Decode and Presentation API for Unix. They provide accelerated video playback (incl. H.264) for the supported graphics cards. . This package contains the NVIDIA VDPAU driver. . See /usr/share/doc/nvidia-tesla-vdpau-driver/README.txt.gz for more information. . Please see the nvidia-tesla-kernel-dkms or nvidia-tesla-kernel-source packages for building the kernel module required by this package. This will provide nvidia-tesla-kernel-418.87.01. Package: nvidia-tesla-vulkan-icd Description-md5: be58fa4b483f6624bfd95b4f325ef46c Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla version) Vulkan is a multivendor open standard by the Khronos Group for 3D graphics. . This metapackage provides the NVIDIA installable client driver (ICD) for Vulkan (GLVND variant) which supports NVIDIA GPUs. Package: nvidia-tesla-460-kernel-dkms Description-md5: f18d673a5834b313ecdbb6d1806bd4f6 Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version) This package builds the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver, using DKMS. Provided that you have the kernel header packages installed, the kernel module will be built for your running kernel and automatically rebuilt for any new kernel headers that are installed. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the ppc64el architecture. Building the kernel modules has been tested up to Linux 5.10. Package: nvidia-tesla-460-kernel-source Description-md5: c8d9409452ec40018568da5d6bdba3f8 Description-en: NVIDIA binary kernel module source (Tesla 460 version) This package provides the source for the NVIDIA Xorg binary kernel module needed by nvidia-tesla-460-driver in a form suitable for use by module-assistant or kernel-package. . The NVIDIA binary driver provides optimized hardware acceleration of OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server for graphics cards using NVIDIA chip sets. . PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz for building information. If you want the kernel module to be automatically installed via DKMS, install nvidia-tesla-460-kernel-dkms instead. . This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the Kepler (desktop cards only), Maxwell, Volta, Turing, or newer architectures. Look at the legacy packages for older cards. . See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz for a complete list of supported GPUs and PCI IDs. . This package contains the blobs for building kernel modules for the ppc64el architecture. Building the kernel modules has been tested up to Linux 5.10.