nvidia-cuda-toolkit 7.5.18-0ubuntu1 source package in Ubuntu
Changelog
nvidia-cuda-toolkit (7.5.18-0ubuntu1) xenial; urgency=medium [ Zhou Mo ] * New upstream release 7.5 (Sept 2015). (Closes: #807579) * SOVERSION bump: 7.0 => 7.5, rename all library packages. * Update symbols control files. * [ppc64el] Adjust location of nvvm/lib. * Update Lintian overrides. [ Andreas Beckmann ] * Refresh man-sections.patch. * debian/copyright: Synchronize with updated EULA.txt. * Use multiarch substitution in nvcc.profile. * gcc-support.patch: New, allow usage of GCC 5. * Use gcc-5/g++-5 as preferred compiler. * Update documentation regarding the CUDA Code Samples. * [ppc64el] Use the no-libcuda1 virtual package on Ubuntu. * Upload to experimental. -- Graham Inggs <email address hidden> Wed, 30 Mar 2016 12:54:00 +0200
Upload details
- Uploaded by:
- Graham Inggs on 2016-03-30
- Uploaded to:
- Xenial
- Original maintainer:
- Debian NVIDIA Maintainers
- Architectures:
- amd64 ppc64el all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | on 2016-03-31 | multiverse | devel |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| nvidia-cuda-toolkit_7.5.18.orig-ppc64el.tar.xz | 870.3 MiB | 5c6e7d48bf2a51790c4d9a8c4221afbc4b7bce1c28b355876bec210f67bda8f2 |
| nvidia-cuda-toolkit_7.5.18.orig.tar.xz | 921.5 MiB | 16090fb053d9e508e8c88de1e2da485841749922e98aca29566d1bbad6c9855d |
| nvidia-cuda-toolkit_7.5.18-0ubuntu1.debian.tar.xz | 60.0 KiB | 441d97e7ee633f5be4b98a6db9f8209cfebb45f371a99cac4582e9090efe5385 |
| nvidia-cuda-toolkit_7.5.18-0ubuntu1.dsc | 4.3 KiB | 0e5aa97fd936b6bcc17273e03bf0e97802b34a392dedaf663f890aa61b1f132c |
Available diffs
Binary packages built by this source
- libcublas7.5: 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.
- libcudart7.5: No summary available for libcudart7.5 in ubuntu yakkety.
No description available for libcudart7.5 in ubuntu yakkety.
- libcufft7.5: No summary available for libcufft7.5 in ubuntu yakkety.
No description available for libcufft7.5 in ubuntu yakkety.
- libcufftw7.5: 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.
- libcuinj64-7.5: 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: No summary available for libcupti-dev in ubuntu yakkety.
No description available for libcupti-dev in ubuntu yakkety.
- libcupti-doc: No summary available for libcupti-doc in ubuntu yakkety.
No description available for libcupti-doc in ubuntu yakkety.
- libcupti7.5: No summary available for libcupti7.5 in ubuntu yakkety.
No description available for libcupti7.5 in ubuntu yakkety.
- libcurand7.5: 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.
- libcusolver7.5: 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.
- libcusparse7.5: No summary available for libcusparse7.5 in ubuntu yakkety.
No description available for libcusparse7.5 in ubuntu yakkety.
- libnppc7.5: No summary available for libnppc7.5 in ubuntu yakkety.
No description available for libnppc7.5 in ubuntu yakkety.
- libnppi7.5: NVIDIA Performance Primitives for image 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
image processing.
- libnpps7.5: No summary available for libnpps7.5 in ubuntu yakkety.
No description available for libnpps7.5 in ubuntu yakkety.
- libnvblas7.5: No summary available for libnvblas7.5 in ubuntu yakkety.
No description available for libnvblas7.5 in ubuntu yakkety.
- libnvrtc7.5: 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: 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: No summary available for nvidia-opencl-dev in ubuntu yakkety.
No description available for nvidia-opencl-dev in ubuntu yakkety.
- 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.
