nvidia-cuda-toolkit 4.0.17-3ubuntu0.1 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (4.0.17-3ubuntu0.1) precise-proposed; urgency=low

  * Backport the following changes from 5.0.35-4 in Raring so that
    nvidia-cuda-toolkit can also be built and installed on systems with
    nvidia-experimental installed and without depending on and recommending
    nvidia-current.
    - debian/{control,rules}: Use substvars for the names of the libcuda1 and
      nvidia-libopencl1 packages.
    - Build-Depend/Depend on nvidia-current | nvidia-current-updates |
      nvidia-experimental-*. instead of libcuda1 and nvidia-libopencl1.
      (LP: #950963)
    - Override libcuda.so.1 dependencies via shlibs.local to support
      installing with nvidia-experimental-* while building against
      nvidia-current. (LP: #1092259)
 -- Graham Inggs <email address hidden>   Wed, 20 Feb 2013 13:23:19 +0200

Upload details

Uploaded by:
Graham Inggs on 2013-03-02
Sponsored by:
Stefano Rivera
Uploaded to:
Precise
Original maintainer:
Debian NVIDIA Maintainers
Component:
multiverse
Architectures:
i386 amd64 all
Section:
devel
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise updates on 2013-04-10 multiverse devel

Builds

Precise: [FULLYBUILT] amd64 [FULLYBUILT] i386

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File Size MD5 Checksum
nvidia-cuda-toolkit_4.0.17.orig.tar.gz 330.5 MiB 2a8ade51ae98f7d7e0622ea683d3cfcf
nvidia-cuda-toolkit_4.0.17-3ubuntu0.1.debian.tar.gz 22.2 KiB 27acf11a18cbfcad93d29c7a7b7456ea
nvidia-cuda-toolkit_4.0.17-3ubuntu0.1.dsc 3.2 KiB b4856e106b9c0bf8753b0181270045b5

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Binary packages built by this source

lib32cublas4: NVIDIA CUDA BLAS runtime library (32-bit)

 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 BLAS runtime library (32-bit).

lib32cudart4: NVIDIA CUDA runtime library (32-bit)

 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 library (32-bit).

lib32cufft4: NVIDIA CUDA FFT runtime library (32-bit)

 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 FFT runtime library (32-bit).

lib32curand4: NVIDIA CUDA Random Numbers Generation runtime library (32-bit)

 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 Random Numbers Generation runtime library
 (32-bit).

lib32cusparse4: NVIDIA CUDA Sparse Matrix runtime library (32-bit)

 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 Sparse Matrix runtime library (32-bit).

lib32npp4: NVIDIA Performance Primitives runtime library (32-bit)

 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
 (32-bit).

libcublas4: NVIDIA CUDA BLAS 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 BLAS runtime library.

libcudart4: 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 runtime library.

libcufft4: NVIDIA CUDA FFT 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 FFT runtime library.

libcurand4: NVIDIA CUDA Random Numbers Generation 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 Random Numbers Generation runtime library.

libcusparse4: NVIDIA CUDA Sparse Matrix 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 Sparse Matrix runtime library.

libnpp4: NVIDIA Performance Primitives 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.

nvidia-compute-profiler: NVIDIA Compute Visual Profiler

 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 Compute Visual Profiler.

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 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 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 etc.

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.