nvidia-cuda-toolkit 9.1.85-3ubuntu1 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (9.1.85-3ubuntu1) bionic; urgency=medium

  * Visual Profiler and Nsight do not work with default-jre,
    so let nvidia-visual-profiler and nvidia-nsight packages depend on
    openjdk-8-jre and set JAVA_HOME in the nvvp and nsight wrappers
    (LP: #1766948)

 -- Graham Inggs <email address hidden>  Thu, 26 Apr 2018 12:33:49 +0000

Upload details

Uploaded by:
Graham Inggs on 2018-04-26
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
amd64 ppc64el all
Section:
devel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2018-04-26 multiverse devel

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Bionic: [FULLYBUILT] amd64 [FULLYBUILT] ppc64el

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nvidia-cuda-toolkit_9.1.85.orig-ppc64el.tar.gz 874.2 MiB c5c85aaa387d91af3d8fe6b5c72198c8493e2a25d7e17bae2c6aba68ade35bc5
nvidia-cuda-toolkit_9.1.85.orig.tar.gz 1.4 GiB 860c2e94b126d1f2baeaf2a7e954a46ab6e6846852cb20d0ca3b5b4b0d8575cf
nvidia-cuda-toolkit_9.1.85-3ubuntu1.debian.tar.xz 56.3 KiB ffc66e36df63c114febf37e722ecc791aa09220521274fc5590365310a53ce38
nvidia-cuda-toolkit_9.1.85-3ubuntu1.dsc 5.3 KiB 3a74dd451ef347b357ea1179d5aca2fa5c705281d006d044fc7f5d662c22780e

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Binary packages built by this source

libaccinj64-9.1: 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.

libcublas9.1: 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.

libcudart9.1: No summary available for libcudart9.1 in ubuntu cosmic.

No description available for libcudart9.1 in ubuntu cosmic.

libcufft9.1: No summary available for libcufft9.1 in ubuntu cosmic.

No description available for libcufft9.1 in ubuntu cosmic.

libcufftw9.1: 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.

libcuinj64-9.1: No summary available for libcuinj64-9.1 in ubuntu cosmic.

No description available for libcuinj64-9.1 in ubuntu cosmic.

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.

libcupti9.1: No summary available for libcupti9.1 in ubuntu cosmic.

No description available for libcupti9.1 in ubuntu cosmic.

libcurand9.1: 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.

libcusolver9.1: No summary available for libcusolver9.1 in ubuntu cosmic.

No description available for libcusolver9.1 in ubuntu cosmic.

libcusparse9.1: 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.

libnppc9.1: 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.

libnppial9.1: 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.

libnppicc9.1: No summary available for libnppicc9.1 in ubuntu cosmic.

No description available for libnppicc9.1 in ubuntu cosmic.

libnppicom9.1: No summary available for libnppicom9.1 in ubuntu cosmic.

No description available for libnppicom9.1 in ubuntu cosmic.

libnppidei9.1: 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.

libnppif9.1: 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.

libnppig9.1: 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.

libnppim9.1: 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.

libnppist9.1: 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.

libnppisu9.1: 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.

libnppitc9.1: 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.

libnpps9.1: 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.

libnvblas9.1: No summary available for libnvblas9.1 in ubuntu cosmic.

No description available for libnvblas9.1 in ubuntu cosmic.

libnvgraph9.1: No summary available for libnvgraph9.1 in ubuntu cosmic.

No description available for libnvgraph9.1 in ubuntu cosmic.

libnvrtc9.1: 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: No summary available for libnvtoolsext1 in ubuntu cosmic.

No description available for libnvtoolsext1 in ubuntu cosmic.

libnvvm3: 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.

libthrust-dev: No summary available for libthrust-dev in ubuntu cosmic.

No description available for libthrust-dev in ubuntu cosmic.

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-doc: No summary available for nvidia-cuda-doc in ubuntu cosmic.

No description available for nvidia-cuda-doc in ubuntu cosmic.

nvidia-cuda-gdb: No summary available for nvidia-cuda-gdb in ubuntu cosmic.

No description available for nvidia-cuda-gdb in ubuntu cosmic.

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-nsight: No summary available for nvidia-nsight in ubuntu cosmic.

No description available for nvidia-nsight in ubuntu cosmic.

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: No summary available for nvidia-profiler in ubuntu cosmic.

No description available for nvidia-profiler in ubuntu cosmic.

nvidia-visual-profiler: No summary available for nvidia-visual-profiler in ubuntu cosmic.

No description available for nvidia-visual-profiler in ubuntu cosmic.