nvidia-cuda-toolkit 7.0.28-3 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (7.0.28-3) unstable; urgency=medium

  [ Andreas Beckmann ]
  * Drop Build-Depends on libcuda1 and always use the libcuda.so stub (with
    some postprocessing) for dependency resolution.
  * Revert the no-libcuda1 virtual package hack.

  [ Graham Inggs ]
  * [ppc64el] Add Build-Depends on libexpat1.

 -- Andreas Beckmann <email address hidden>  Wed, 17 Feb 2016 08:33:34 +0100

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Uploaded by:
Debian NVIDIA Maintainers
Uploaded to:
Sid
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
amd64 ppc64el all
Section:
devel
Urgency:
Medium Urgency

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Builds

Xenial: [FULLYBUILT] amd64 [FULLYBUILT] ppc64el

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File Size SHA-256 Checksum
nvidia-cuda-toolkit_7.0.28-3.dsc 4.3 KiB 6b886aa28d6309ae513344d7baf117ff9a5d70dfa92db51c64d67961a9fc73b3
nvidia-cuda-toolkit_7.0.28.orig-ppc64el.tar.xz 801.1 MiB dcb243740dea78835a2ecbdc9eeec973b63afd74f964e1cd44fcbfaa7c805520
nvidia-cuda-toolkit_7.0.28.orig.tar.xz 889.2 MiB 626bcda746f396d8d81498b2c903c7ec159efcba022ada405daaac240851831d
nvidia-cuda-toolkit_7.0.28-3.debian.tar.xz 58.5 KiB 3521187d098f4a655f5a84f71782a48538d09ce6a28b4d0c0b44940088f3c8ed

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Binary packages built by this source

libcublas7.0: No summary available for libcublas7.0 in ubuntu xenial.

No description available for libcublas7.0 in ubuntu xenial.

libcudart7.0: No summary available for libcudart7.0 in ubuntu xenial.

No description available for libcudart7.0 in ubuntu xenial.

libcufft7.0: No summary available for libcufft7.0 in ubuntu xenial.

No description available for libcufft7.0 in ubuntu xenial.

libcufftw7.0: No summary available for libcufftw7.0 in ubuntu xenial.

No description available for libcufftw7.0 in ubuntu xenial.

libcuinj64-7.0: No summary available for libcuinj64-7.0 in ubuntu xenial.

No description available for libcuinj64-7.0 in ubuntu xenial.

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.

libcupti7.0: No summary available for libcupti7.0 in ubuntu xenial.

No description available for libcupti7.0 in ubuntu xenial.

libcurand7.0: No summary available for libcurand7.0 in ubuntu xenial.

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libcusolver7.0: No summary available for libcusolver7.0 in ubuntu xenial.

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libcusparse7.0: No summary available for libcusparse7.0 in ubuntu xenial.

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libnppc7.0: No summary available for libnppc7.0 in ubuntu xenial.

No description available for libnppc7.0 in ubuntu xenial.

libnppi7.0: No summary available for libnppi7.0 in ubuntu xenial.

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libnpps7.0: No summary available for libnpps7.0 in ubuntu xenial.

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libnvblas7.0: No summary available for libnvblas7.0 in ubuntu xenial.

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libnvrtc7.0: No summary available for libnvrtc7.0 in ubuntu xenial.

No description available for libnvrtc7.0 in ubuntu xenial.

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: 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.