nvidia-cuda-toolkit 11.1.1-3 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (11.1.1-3) unstable; urgency=medium

  * Fix misspelled g++-10 dependency.  (Closes: #976077)
  * Use substitution for the default gcc version.
  * Overhaul component tarball handling.
  * Use a snapshot of openjdk-8-jre (8u272-b10-0+deb9u1) for amd64.
  * Bump Standards-Version to 4.5.1 (no changes needed).

 -- Andreas Beckmann <email address hidden>  Thu, 03 Dec 2020 22:21:32 +0100

Upload details

Uploaded by:
Debian NVIDIA Maintainers on 2020-12-04
Uploaded to:
Sid
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
amd64 ppc64el arm64 all
Section:
devel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
nvidia-cuda-toolkit_11.1.1-3.dsc 8.8 KiB 87cefa3038e9ddf1d69c47e2fa7bc18f209d7f4b4bfb620a6d46639c4ae2aae3
nvidia-cuda-toolkit_11.1.1.orig-amd64.tar.xz 1.9 GiB bf947af85845cfe967593d03a61a8122ea6f3f853b189a3baca91256b8d4a1c8
nvidia-cuda-toolkit_11.1.1.orig-arm64.tar.xz 1.4 GiB d46346280071a1d2d4059cc60bda5bec82a527861afb1e874a0f1262d8c01d55
nvidia-cuda-toolkit_11.1.1.orig-openjdk-8-jre-amd64-8u272-b10-0-d9u1.tar.xz 26.9 MiB 717cfbe64c0e86419eac19fb8f7a880c0d753257b9b42bcb4a7493a804510adc
nvidia-cuda-toolkit_11.1.1.orig-openjdk-8-jre-ppc64el-8u252-b09-1-d9u1.tar.xz 25.3 MiB 3de4435048ccf9f4fffff1b6c5484bcc83a494928763df0ed9f6f621665fb154
nvidia-cuda-toolkit_11.1.1.orig-openjdk-8-source-8u252-b09-1-d9u1.tar.xz 68.6 MiB fbd5ba9df3fb9cb37e25d43308397f360ca44537f7317bb4231aa540d164a36e
nvidia-cuda-toolkit_11.1.1.orig-openjdk-8-source-8u272-b10-0-d9u1.tar.xz 70.0 MiB 9cc521df466013f5633ee5782c41288f822cb476e4a35fb0b8ea920973f23b48
nvidia-cuda-toolkit_11.1.1.orig-ppc64el.tar.xz 1.7 GiB 03c08a594133f20da095f13d11c2b4fb4932d203460bf087495d09e38e937b49
nvidia-cuda-toolkit_11.1.1.orig.tar.xz 192 bytes 648af8dc1732c07c07d2600f80eae0e3a13f8044ebe8a99c1fc281aa7b001e11
nvidia-cuda-toolkit_11.1.1-3.debian.tar.xz 3.5 MiB f504d830a8d595140edc653f58122b5e7764c210267fda5a50f007fd1f60b0b8

Available diffs

  • diff from 11.1.1-2 to 11.1.1-3 (pending)

No changes file available.

Binary packages built by this source

libaccinj64-11.1: No summary available for libaccinj64-11.1 in ubuntu hirsute.

No description available for libaccinj64-11.1 in ubuntu hirsute.

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.

libcuinj64-11.1: No summary available for libcuinj64-11.1 in ubuntu hirsute.

No description available for libcuinj64-11.1 in ubuntu hirsute.

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.

libcupti11.1: No summary available for libcupti11.1 in ubuntu hirsute.

No description available for libcupti11.1 in ubuntu hirsute.

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.

libnvrtc11.1: No summary available for libnvrtc11.1 in ubuntu hirsute.

No description available for libnvrtc11.1 in ubuntu hirsute.

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.

libnvvm3: No summary available for libnvvm3 in ubuntu hirsute.

No description available for libnvvm3 in ubuntu hirsute.

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.