nvidia-cuda-toolkit 7.5.18-0ubuntu1 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (7.5.18-0ubuntu1) xenial; urgency=medium

  [ Zhou Mo ]
  * New upstream release 7.5 (Sept 2015).  (Closes: #807579)
  * SOVERSION bump: 7.0 => 7.5, rename all library packages.
  * Update symbols control files.
  * [ppc64el] Adjust location of nvvm/lib.
  * Update Lintian overrides.

  [ Andreas Beckmann ]
  * Refresh man-sections.patch.
  * debian/copyright: Synchronize with updated EULA.txt.
  * Use multiarch substitution in nvcc.profile.
  * gcc-support.patch: New, allow usage of GCC 5.
  * Use gcc-5/g++-5 as preferred compiler.
  * Update documentation regarding the CUDA Code Samples.
  * [ppc64el] Use the no-libcuda1 virtual package on Ubuntu.
  * Upload to experimental.

 -- Graham Inggs <email address hidden>  Wed, 30 Mar 2016 12:54:00 +0200

Upload details

Uploaded by:
Graham Inggs on 2016-03-30
Uploaded to:
Xenial
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
amd64 ppc64el all
Section:
devel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release on 2016-03-31 multiverse devel

Builds

Xenial: [FULLYBUILT] amd64 [FULLYBUILT] ppc64el

Downloads

File Size SHA-256 Checksum
nvidia-cuda-toolkit_7.5.18.orig-ppc64el.tar.xz 870.3 MiB 5c6e7d48bf2a51790c4d9a8c4221afbc4b7bce1c28b355876bec210f67bda8f2
nvidia-cuda-toolkit_7.5.18.orig.tar.xz 921.5 MiB 16090fb053d9e508e8c88de1e2da485841749922e98aca29566d1bbad6c9855d
nvidia-cuda-toolkit_7.5.18-0ubuntu1.debian.tar.xz 60.0 KiB 441d97e7ee633f5be4b98a6db9f8209cfebb45f371a99cac4582e9090efe5385
nvidia-cuda-toolkit_7.5.18-0ubuntu1.dsc 4.3 KiB 0e5aa97fd936b6bcc17273e03bf0e97802b34a392dedaf663f890aa61b1f132c

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Binary packages built by this source

libcublas7.5: 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.

libcudart7.5: No summary available for libcudart7.5 in ubuntu yakkety.

No description available for libcudart7.5 in ubuntu yakkety.

libcufft7.5: No summary available for libcufft7.5 in ubuntu yakkety.

No description available for libcufft7.5 in ubuntu yakkety.

libcufftw7.5: 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.

libcuinj64-7.5: 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: No summary available for libcupti-dev in ubuntu yakkety.

No description available for libcupti-dev in ubuntu yakkety.

libcupti-doc: No summary available for libcupti-doc in ubuntu yakkety.

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libcupti7.5: No summary available for libcupti7.5 in ubuntu yakkety.

No description available for libcupti7.5 in ubuntu yakkety.

libcurand7.5: 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.

libcusolver7.5: 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.

libcusparse7.5: No summary available for libcusparse7.5 in ubuntu yakkety.

No description available for libcusparse7.5 in ubuntu yakkety.

libnppc7.5: No summary available for libnppc7.5 in ubuntu yakkety.

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libnppi7.5: NVIDIA Performance Primitives for image 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
 image processing.

libnpps7.5: No summary available for libnpps7.5 in ubuntu yakkety.

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libnvblas7.5: No summary available for libnvblas7.5 in ubuntu yakkety.

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libnvrtc7.5: 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.

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.

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: 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.
 .
 This package contains the developer documentation.

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-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: NVIDIA Nsight Eclipse Edition

 NVIDIA Nsight Eclipse Edition is a full-featured IDE powered by the Eclipse
 platform that provides an all-in-one integrated environment to edit, build,
 debug and profile CUDA-C applications.
 Nsight Eclipse Edition supports a rich set of commercial and free plugins.

nvidia-opencl-dev: No summary available for nvidia-opencl-dev in ubuntu yakkety.

No description available for nvidia-opencl-dev in ubuntu yakkety.

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.