nvidia-cuda-toolkit 9.1.85-3ubuntu1 source package in Ubuntu
Changelog
nvidia-cuda-toolkit (9.1.85-3ubuntu1) bionic; urgency=medium
* Visual Profiler and Nsight do not work with default-jre,
so let nvidia-visual-profiler and nvidia-nsight packages depend on
openjdk-8-jre and set JAVA_HOME in the nvvp and nsight wrappers
(LP: #1766948)
-- Graham Inggs <email address hidden> Thu, 26 Apr 2018 12:33:49 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Bionic
- Original maintainer:
- Ubuntu Developers
- Architectures:
- amd64 ppc64el all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Bionic | release | multiverse | devel |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| 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_9.1.85-3ubuntu1.debian.tar.xz | 56.3 KiB | ffc66e36df63c114febf37e722ecc791aa09220521274fc5590365310a53ce38 |
| nvidia-cuda-toolkit_9.1.85-3ubuntu1.dsc | 5.3 KiB | 3a74dd451ef347b357ea1179d5aca2fa5c705281d006d044fc7f5d662c22780e |
Available diffs
Binary packages built by this source
- libaccinj64-9.1: NVIDIA ACCINJ Library (64-bit)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
ACCINJ is the OpenACC internal library for profiling.
.
This package contains the 64-bit ACCINJ runtime library.
- libcublas9.1: NVIDIA cuBLAS Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLAS library is an implementation of BLAS (Basic Linear Algebra
Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access
the computational resources of NVIDIA Graphics Processing Unit (GPU), but
does not auto-parallelize across multiple GPUs.
.
This package contains the cuBLAS runtime library.
- libcudart9.1: 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 CUDA Runtime API library for high-level CUDA
programming, on top of the CUDA Driver API.
- libcufft9.1: NVIDIA cuFFT Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The FFT is a divide-and-conquer algorithm for efficiently computing discrete
Fourier transforms of complex or real-valued data sets. It is one of the most
important and widely used numerical algorithms in computational physics and
general signal processing. The cuFFT library provides a simple interface for
computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
floating-point power and parallelism of the GPU in a highly optimized and
tested FFT library.
.
This package contains the cuFFT runtime library.
- libcufftw9.1: NVIDIA cuFFTW Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The FFT is a divide-and-conquer algorithm for efficiently computing discrete
Fourier transforms of complex or real-valued data sets. It is one of the most
important and widely used numerical algorithms in computational physics and
general signal processing. The cuFFT library provides a simple interface for
computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
floating-point power and parallelism of the GPU in a highly optimized and
tested FFT library.
.
This package contains the cuFFTW runtime library.
- libcuinj64-9.1: NVIDIA CUINJ Library (64-bit)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
CUINJ is the CUDA internal library for profiling.
.
This package contains the 64-bit CUINJ 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.
- libcupti9.1: 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.
- libcurand9.1: NVIDIA cuRAND Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuRAND library provides facilities that focus on the simple and efficient
generation of high-quality pseudorandom and quasirandom numbers.
A pseudorandom sequence of numbers satisfies most of the statistical
properties of a truly random sequence but is generated by a deterministic
algorithm. A quasirandom sequence of n-dimensional points is generated by a
deterministic algorithm designed to fill an n-dimensional space evenly.
.
This package contains the cuRAND runtime library.
- libcusolver9.1: NVIDIA cuSOLVER Library
The cuSOLVER library contains LAPACK-like functions in dense and sparse
linear algebra, including linear solver, least-square solver and eigenvalue
solver.
.
This package contains the cuSOLVER runtime library.
- libcusparse9.1: No summary available for libcusparse9.1 in ubuntu cosmic.
No description available for libcusparse9.1 in ubuntu cosmic.
- libnppc9.1: No summary available for libnppc9.1 in ubuntu cosmic.
No description available for libnppc9.1 in ubuntu cosmic.
- libnppial9.1: NVIDIA Performance Primitives lib for Image Arithmetic and Logic
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Arithmetic and Logic operations, which is a sub-library of nppi.
- libnppicc9.1: NVIDIA Performance Primitives lib for Image Color Conversion
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Color and sampling Conversion, which is a sub-library of nppi.
- libnppicom9.1: NVIDIA Performance Primitives lib for Image Compression
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Compression, which is a sub-library of nppi.
- libnppidei9.1: No summary available for libnppidei9.1 in ubuntu cosmic.
No description available for libnppidei9.1 in ubuntu cosmic.
- libnppif9.1: No summary available for libnppif9.1 in ubuntu cosmic.
No description available for libnppif9.1 in ubuntu cosmic.
- libnppig9.1: NVIDIA Performance Primitives lib for Image Geometry transforms
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Geometry transforms, which is a sub-library of nppi.
- libnppim9.1: NVIDIA Performance Primitives lib for Image Morphological operations
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Morphological operations, which is a sub-library of nppi.
- libnppist9.1: NVIDIA Performance Primitives lib for Image Statistics
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Statistics and Linear Transformation, which is a sub-library of nppi.
- libnppisu9.1: NVIDIA Performance Primitives lib for Image Support
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Support, which is a sub-library of nppi.
- libnppitc9.1: NVIDIA Performance Primitives lib for Image Threshold and Compare
NVIDIA NPP is a library of functions for performing CUDA accelerated
processing.
.
This package contains the NVIDIA Performance Primitives runtime library for
Image Threshold and Compare, which is a sub-library of nppi.
- libnpps9.1: NVIDIA Performance Primitives for signal processing 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 for
signal processing.
- libnvblas9.1: NVBLAS runtime library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic
Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by
dynamically routing BLAS calls to one or more NVIDIA GPUs present in the
system, when the characteristics of the call make it to speedup on a GPU.
- libnvgraph9.1: No summary available for libnvgraph9.1 in ubuntu cosmic.
No description available for libnvgraph9.1 in ubuntu cosmic.
- libnvrtc9.1: CUDA Runtime Compilation (NVIDIA NVRTC Library)
CUDA Runtime Compilation library (nvrtc) provides an API to compile
CUDA-C++ device source code at runtime.
.
The resulting compiled PTX can be launched on a GPU using the CUDA
Driver API.
.
This package contains the NVRTC library.
- 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: No summary available for libnvvm3 in ubuntu cosmic.
No description available for libnvvm3 in ubuntu cosmic.
- libthrust-dev: No summary available for libthrust-dev in ubuntu cosmic.
No description available for libthrust-dev in ubuntu cosmic.
- 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: No summary available for nvidia-cuda-doc in ubuntu cosmic.
No description available for nvidia-cuda-doc in ubuntu cosmic.
- 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: No summary available for nvidia-nsight in ubuntu cosmic.
No description available for nvidia-nsight in ubuntu cosmic.
- 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: No summary available for nvidia-visual-profiler in ubuntu cosmic.
No description available for nvidia-
visual- profiler in ubuntu cosmic.
