nvidia-cuda-toolkit 9.1.85-5 source package in Ubuntu

Changelog

nvidia-cuda-toolkit (9.1.85-5) unstable; urgency=medium

  * Add nvidia-openjdk-8-jre package shipping the JRE binaries.
  * Use it as JRE for nvidia-visual-profiler and nvidia-nsight on amd64.
    (Closes: #900300)
  * Do not build nvidia-visual-profiler and nvidia-nsight on ppc64el.
  * Bump Standards-Version to 4.2.1 (no changes needed).

 -- Andreas Beckmann <email address hidden>  Tue, 18 Sep 2018 20:22:22 +0200

Upload details

Uploaded by:
Debian NVIDIA Maintainers on 2018-11-06
Uploaded to:
Sid
Original maintainer:
Debian NVIDIA Maintainers
Architectures:
amd64 ppc64el all
Section:
devel
Urgency:
Medium Urgency

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Builds

Disco: [FULLYBUILT] amd64 [FULLYBUILT] ppc64el

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File Size SHA-256 Checksum
nvidia-cuda-toolkit_9.1.85-5.dsc 5.4 KiB beb6a6d6d62445472413d42ef6878192ad94aa2b91a4cbf4b77332819c12184e
nvidia-cuda-toolkit_9.1.85.orig-ppc64el.tar.gz 874.2 MiB c5c85aaa387d91af3d8fe6b5c72198c8493e2a25d7e17bae2c6aba68ade35bc5
nvidia-cuda-toolkit_9.1.85.orig.tar.gz 1.4 GiB 860c2e94b126d1f2baeaf2a7e954a46ab6e6846852cb20d0ca3b5b4b0d8575cf
nvidia-cuda-toolkit_9.1.85-5.debian.tar.xz 101.4 KiB 99be8aa36ef8f72953454c5884c20637ecb8c4fa05e2d89e80a96b2f36b9b338

No changes file available.

Binary packages built by this source

libaccinj64-9.1: No summary available for libaccinj64-9.1 in ubuntu disco.

No description available for libaccinj64-9.1 in ubuntu disco.

libcublas9.1: No summary available for libcublas9.1 in ubuntu disco.

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libcudart9.1: No summary available for libcudart9.1 in ubuntu disco.

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libcuinj64-9.1: No summary available for libcuinj64-9.1 in ubuntu disco.

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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.

libcupti9.1: No summary available for libcupti9.1 in ubuntu disco.

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libcurand9.1: No summary available for libcurand9.1 in ubuntu disco.

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libcusolver9.1: No summary available for libcusolver9.1 in ubuntu disco.

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libnppc9.1: No summary available for libnppc9.1 in ubuntu disco.

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libnppif9.1: No summary available for libnppif9.1 in ubuntu disco.

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libnppig9.1: No summary available for libnppig9.1 in ubuntu disco.

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libnvblas9.1: No summary available for libnvblas9.1 in ubuntu disco.

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libnvrtc9.1: No summary available for libnvrtc9.1 in ubuntu disco.

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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.

libthrust-dev: Thrust - Parallel Algorithms Library

 Thrust is a parallel algorithms library which resembles the C++ Standard
 Template Library (STL). Thrust's high-level interface greatly enhances
 programmer productivity while enabling performance portability between GPUs
 and multicore CPUs. Interoperability with established technologies (such as
 CUDA, TBB, and OpenMP) facilitates integration with existing software.

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-openjdk-8-jre: NVIDIA provided OpenJDK Java runtime, using Hotspot JIT

 Full Java runtime environment - needed for executing Java GUI and Webstart
 programs, using Hotspot JIT.
 .
 This package provides the openjdk-8 binaries shipped with the
 NVIDIA CUDA Toolkit, this obsolete version is needed for
 nvidia-visual-profiler and nvidia-nsight.

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.