nvidia-cuda-toolkit 11.5.1-1build1 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (11.5.1-1build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 as default version

 -- Graham Inggs <email address hidden>  Sat, 15 Jan 2022 08:50:58 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
amd64 ppc64el arm64 all
Section:
devel
Urgency:
Medium Urgency

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nvidia-cuda-toolkit_11.5.1.orig-amd64.tar.xz 1.7 GiB 3a1a12932d2bb1eb02152f4584278bbdea07d322cfdddb7e13443f1d9b99dd5d
nvidia-cuda-toolkit_11.5.1.orig-arm64.tar.xz 1.2 GiB c55d0601a56c19592a261e287d6678c4fcf705199951b9b36e27ebbbd379478c
nvidia-cuda-toolkit_11.5.1.orig-openjdk-8-jre-amd64-8u312-b07-1.tar.xz 26.9 MiB 6016dd7e4a7b0e235423d26b6b300a659bd65c15c4ae91cae818c994701a3485
nvidia-cuda-toolkit_11.5.1.orig-openjdk-8-jre-ppc64el-8u312-b07-1.tar.xz 26.8 MiB 565239d72ce72432cc87aa4b9dc6d90d65ecb173781bf5d147c539dc82ed7f86
nvidia-cuda-toolkit_11.5.1.orig-openjdk-8-source-8u312-b07-1.tar.xz 70.4 MiB 45e76b80e184c572a0987c688c61c2a43ac649df88ba64084c4a4f5a3de278a7
nvidia-cuda-toolkit_11.5.1.orig-ppc64el.tar.xz 1.4 GiB 3cba134d0826451408af0cc79fffd1559be3b3811662f8df97392ed6fc93f307
nvidia-cuda-toolkit_11.5.1.orig.tar.xz 196 bytes c682e7ea2872041676307c70c3826d077c1458f9a1bfe4883d8e31b2f282f4de
nvidia-cuda-toolkit_11.5.1-1build1.debian.tar.xz 57.9 KiB 869469c6b80ffe55c1164806f61014151e57e041ef0166c2205546becd58d588
nvidia-cuda-toolkit_11.5.1-1build1.dsc 8.8 KiB ad230fafa88f83547228f601c8dc2093105dad97028c4ac510f995253226650d

Available diffs

  • diff from 11.4.3-1build1 to 11.5.1-1build1 (pending)
  • diff from 11.5.1-1 (in Debian) to 11.5.1-1build1 (pending)

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Binary packages built by this source

libaccinj64-11.5: 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.

libcublas11: 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.

libcublaslt11: 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.

libcudart11.0: 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.

libcufft10: 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.

libcufftw10: 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.

libcuinj64-11.5: 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.

libcupti-dev: 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.

libcupti-doc: 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.

libcupti11.5: 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.

libcurand10: 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.

libcusolver11: 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.

libcusolvermg11: 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.

libcusparse11: 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.

libnppc11: 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.

libnppial11: 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.

libnppicc11: 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.

libnppidei11: 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.

libnppif11: 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.

libnppig11: 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.

libnppim11: 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.

libnppist11: 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.

libnppisu11: 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.

libnppitc11: 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.

libnpps11: 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.

libnvblas11: 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.

libnvidia-ml-dev: 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.

libnvjpeg11: 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.

libnvrtc-builtins11.5: 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.

libnvrtc11.2: 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.

libnvtoolsext1: 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.

libnvvm4: 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.

nsight-compute: 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.

nsight-compute-target: 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.

nsight-systems: 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.

nsight-systems-target: 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.

nvidia-cuda-dev: 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.

nvidia-cuda-gdb: 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.

nvidia-cuda-gdb-dbgsym: debug symbols for nvidia-cuda-gdb
nvidia-cuda-toolkit: 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.

nvidia-cuda-toolkit-doc: 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.

nvidia-cuda-toolkit-gcc: 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.

nvidia-opencl-dev: 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.

nvidia-profiler: 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.

nvidia-visual-profiler: 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.