nvidia-cuda-toolkit 4.2.9-1ubuntu1.1 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (4.2.9-1ubuntu1.1) quantal-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. (LP: #1092259).
    - 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.
    - Override libcuda.so.1 dependencies via shlibs.local to support
      installing with nvidia-experimental-* while building against
      nvidia-current.
 -- Graham Inggs <email address hidden>   Wed, 20 Feb 2013 10:55:42 +0200

Upload details

Uploaded by:
Graham Inggs on 2013-02-27
Sponsored by:
Luke Yelavich
Uploaded to:
Quantal
Original maintainer:
Ubuntu Developers
Component:
multiverse
Architectures:
i386 amd64 all
Section:
devel
Urgency:
Low Urgency

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Quantal updates on 2013-04-10 multiverse devel

Builds

Quantal: [FULLYBUILT] amd64 [FULLYBUILT] i386

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nvidia-cuda-toolkit_4.2.9.orig.tar.gz 462.7 MiB 4db908ccbca0e88e08271f0125b93804
nvidia-cuda-toolkit_4.2.9-1ubuntu1.1.debian.tar.gz 27.9 KiB 151a3e85a56e307a5c94f556dde17434
nvidia-cuda-toolkit_4.2.9-1ubuntu1.1.dsc 2.5 KiB 88064ff579bc0f937d47d6373ce41e14

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Binary packages built by this source

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.

libcuinj4: NVIDIA CUDA INJ 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 INJ 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.

libcupti4: 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.

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-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.

nvidia-visual-profiler: NVIDIA Visual Profiler

 The NVIDIA Visual Profiler is a cross-platform performance profiling tool
 that delivers developers vital feedback for optimizing CUDA C/C++ and OpenCL
 applications.