nvidia-cuda-toolkit 4.0.17-3ubuntu0.1 source package in Ubuntu
Changelog
nvidia-cuda-toolkit (4.0.17-3ubuntu0.1) precise-proposed; urgency=low * Backport the following changes from 5.0.35-4 in Raring so that nvidia-cuda-toolkit can also be built and installed on systems with nvidia-experimental installed and without depending on and recommending nvidia-current. - debian/{control,rules}: Use substvars for the names of the libcuda1 and nvidia-libopencl1 packages. - Build-Depend/Depend on nvidia-current | nvidia-current-updates | nvidia-experimental-*. instead of libcuda1 and nvidia-libopencl1. (LP: #950963) - Override libcuda.so.1 dependencies via shlibs.local to support installing with nvidia-experimental-* while building against nvidia-current. (LP: #1092259) -- Graham Inggs <email address hidden> Wed, 20 Feb 2013 13:23:19 +0200
Upload details
- Uploaded by:
- Graham Inggs
- Sponsored by:
- Stefano Rivera
- Uploaded to:
- Precise
- Original maintainer:
- Debian NVIDIA Maintainers
- Architectures:
- i386 amd64 all
- Section:
- devel
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Precise | updates | multiverse | devel |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
nvidia-cuda-toolkit_4.0.17.orig.tar.gz | 330.5 MiB | 70ad25c5bec505895d1fb641857e66b2b29ace5c393381872520495a398492d1 |
nvidia-cuda-toolkit_4.0.17-3ubuntu0.1.debian.tar.gz | 22.2 KiB | 09de64f0aa63bba49f2f606e5c5aa50226ca2670cb8b3384d6200fddb12c3ea9 |
nvidia-cuda-toolkit_4.0.17-3ubuntu0.1.dsc | 3.2 KiB | 680122b9d75198c901a53226d716384f38819df59a488793afb33bc4466dee04 |
Available diffs
Binary packages built by this source
- lib32cublas4: NVIDIA CUDA BLAS runtime library (32-bit)
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 BLAS runtime library (32-bit).
- lib32cudart4: NVIDIA CUDA runtime library (32-bit)
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 runtime library (32-bit).
- lib32cufft4: NVIDIA CUDA FFT runtime library (32-bit)
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 FFT runtime library (32-bit).
- lib32curand4: NVIDIA CUDA Random Numbers Generation runtime library (32-bit)
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 Random Numbers Generation runtime library
(32-bit).
- lib32cusparse4: NVIDIA CUDA Sparse Matrix runtime library (32-bit)
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 Sparse Matrix runtime library (32-bit).
- lib32npp4: NVIDIA Performance Primitives runtime library (32-bit)
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
(32-bit).
- libcublas4: NVIDIA CUDA BLAS 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 BLAS runtime library.
- libcudart4: 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 runtime library.
- libcufft4: NVIDIA CUDA FFT 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 FFT runtime library.
- libcurand4: NVIDIA CUDA Random Numbers Generation 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 Random Numbers Generation runtime library.
- libcusparse4: NVIDIA CUDA Sparse Matrix 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 Sparse Matrix runtime library.
- libnpp4: NVIDIA Performance Primitives 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.
- nvidia-compute-profiler: NVIDIA Compute Visual Profiler
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 Compute Visual Profiler.
- 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 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 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 etc.
- 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.