nvidia-cuda-toolkit 6.5.19-2 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (6.5.19-2) unstable; urgency=medium

  * Upload to unstable.

 -- Andreas Beckmann <email address hidden>  Fri, 13 Nov 2015 19:46:02 +0100

Upload details

Uploaded by:
Debian NVIDIA Maintainers
Uploaded to:
Sid
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
i386 amd64 all
Section:
devel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Xenial: [FULLYBUILT] amd64 [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
nvidia-cuda-toolkit_6.5.19-2.dsc 3.7 KiB cd05e722b7ec0bb09190e2ca8933899664a06a7beb41d7c4515a3d6b7c22e920
nvidia-cuda-toolkit_6.5.19.orig.tar.xz 785.0 MiB 9fe92c7e15912b0ea8f1b3180678e0703e093a12d6f4633e743838c9f7236fa6
nvidia-cuda-toolkit_6.5.19-2.debian.tar.xz 52.8 KiB 5c9b7ce53f898e20289e5835fcde71ec443d0e3634fe8375ef21ab2070764ee5

Available diffs

No changes file available.

Binary packages built by this source

libcublas6.5: No summary available for libcublas6.5 in ubuntu xenial.

No description available for libcublas6.5 in ubuntu xenial.

libcudart6.5: No summary available for libcudart6.5 in ubuntu xenial.

No description available for libcudart6.5 in ubuntu xenial.

libcufft6.5: No summary available for libcufft6.5 in ubuntu xenial.

No description available for libcufft6.5 in ubuntu xenial.

libcufftw6.5: No summary available for libcufftw6.5 in ubuntu xenial.

No description available for libcufftw6.5 in ubuntu xenial.

libcuinj32-6.5: No summary available for libcuinj32-6.5 in ubuntu xenial.

No description available for libcuinj32-6.5 in ubuntu xenial.

libcuinj64-6.5: No summary available for libcuinj64-6.5 in ubuntu xenial.

No description available for libcuinj64-6.5 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.

libcupti6.5: No summary available for libcupti6.5 in ubuntu xenial.

No description available for libcupti6.5 in ubuntu xenial.

libcurand6.5: No summary available for libcurand6.5 in ubuntu xenial.

No description available for libcurand6.5 in ubuntu xenial.

libcusparse6.5: No summary available for libcusparse6.5 in ubuntu xenial.

No description available for libcusparse6.5 in ubuntu xenial.

libnppc6.5: No summary available for libnppc6.5 in ubuntu xenial.

No description available for libnppc6.5 in ubuntu xenial.

libnppi6.5: No summary available for libnppi6.5 in ubuntu xenial.

No description available for libnppi6.5 in ubuntu xenial.

libnpps6.5: No summary available for libnpps6.5 in ubuntu xenial.

No description available for libnpps6.5 in ubuntu xenial.

libnvblas6.5: No summary available for libnvblas6.5 in ubuntu xenial.

No description available for libnvblas6.5 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.

libnvvm2: No summary available for libnvvm2 in ubuntu xenial.

No description available for libnvvm2 in ubuntu xenial.

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.