nvidia-cuda-toolkit 11.5.2-1ubuntu1 source package in Ubuntu
Changelog
nvidia-cuda-toolkit (11.5.2-1ubuntu1) kinetic; urgency=medium
* Merge from Debian experimental, remaining changes:
+ Use system libqt5network5 instead of bundled libqt5network5; the latter
is not guaranteed to be compatible with OpenSSL 3.
* Dropped changes, included in Debian:
+ Use system libssh-4 instead of bundled libssh.so; the latter is linked
against libcrypto.so.1.1.
* Cherry-pick gdb upstream commit to add support for readline 8.2
nvidia-cuda-toolkit (11.5.2-1) experimental; urgency=medium
* New upstream release 11.5.2 (February 2022).
* Merge changes from 11.4.3-4.
nvidia-cuda-toolkit (11.5.1-2) experimental; urgency=medium
* Merge changes from 11.4.3-3.
-- Graham Inggs <email address hidden> Sun, 11 Sep 2022 12:09:19 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Kinetic
- Original maintainer:
- Ubuntu Developers
- Architectures:
- amd64 ppc64el arm64 all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| nvidia-cuda-toolkit_11.5.2.orig-amd64.tar.xz | 1.7 GiB | bbcb7d02f66ecef0df9ecd210ecccb8208191d78211e1fdb88af06dbdd6f30a8 |
| nvidia-cuda-toolkit_11.5.2.orig-arm64.tar.xz | 1.2 GiB | 6c10a46ae0a610e48836915795b1706caa6c8e042214a5317f77b9900abbc0fb |
| nvidia-cuda-toolkit_11.5.2.orig-openjdk-8-jre-amd64-8u332-ga-1.tar.xz | 27.0 MiB | fce7fa4598076370261bcdd8b17b209a4125ad9ed41e0f927aaa4edde3c7fe19 |
| nvidia-cuda-toolkit_11.5.2.orig-openjdk-8-jre-ppc64el-8u332-ga-1.tar.xz | 26.8 MiB | a0a2b068b2a5545aa0033a153f3b14a48dde6b88e15abb0060b993f30e259168 |
| nvidia-cuda-toolkit_11.5.2.orig-openjdk-8-source-8u332-ga-1.tar.xz | 63.5 MiB | 6a23f2edb259a33fbd22c089466cf5d65f454821ce8dac9542c971b818c9ca47 |
| nvidia-cuda-toolkit_11.5.2.orig-ppc64el.tar.xz | 1.4 GiB | 3bed0f26b0e0f0c5ff697b4f2d86cbc54cdf4ee55cb74ef852b4ac17be8b211f |
| nvidia-cuda-toolkit_11.5.2.orig.tar.xz | 196 bytes | 855d66e1eaec9df9ea74daa49d434041988ebabe11c95cadf4bc5c45293d86cc |
| nvidia-cuda-toolkit_11.5.2-1ubuntu1.debian.tar.xz | 59.2 KiB | b059c49e006ba0c0c70e788712016707f10d8da5d857769a9d372c8011e00f9c |
| nvidia-cuda-toolkit_11.5.2-1ubuntu1.dsc | 8.9 KiB | 2b637e4f3e6efe7709a168227f66fa839d92457ea3ac7736c17dd896beb019c7 |
Available diffs
- diff from 11.5.1-1ubuntu1 to 11.5.2-1ubuntu1 (pending)
- diff from 11.5.2-1 (in Debian) to 11.5.2-1ubuntu1 (pending)
Binary packages built by this source
- libaccinj64-11.5: No summary available for libaccinj64-11.5 in ubuntu kinetic.
No description available for libaccinj64-11.5 in ubuntu kinetic.
- libcublas11: 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.
- libcublaslt11: NVIDIA cuBLASLt Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLASLt library is a lightweight GEMM library with a flexible API and
tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
multiplication.
.
This package contains the cuBLASLt runtime library.
- libcudart11.0: No summary available for libcudart11.0 in ubuntu kinetic.
No description available for libcudart11.0 in ubuntu kinetic.
- libcufft10: No summary available for libcufft10 in ubuntu kinetic.
No description available for libcufft10 in ubuntu kinetic.
- libcufftw10: 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.
- libcuinj64-11.5: No summary available for libcuinj64-11.5 in ubuntu lunar.
No description available for libcuinj64-11.5 in ubuntu lunar.
- 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: No summary available for libcupti-doc in ubuntu kinetic.
No description available for libcupti-doc in ubuntu kinetic.
- libcupti11.5: No summary available for libcupti11.5 in ubuntu kinetic.
No description available for libcupti11.5 in ubuntu kinetic.
- libcurand10: 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.
- libcusolver11: No summary available for libcusolver11 in ubuntu kinetic.
No description available for libcusolver11 in ubuntu kinetic.
- libcusolvermg11: No summary available for libcusolvermg11 in ubuntu kinetic.
No description available for libcusolvermg11 in ubuntu kinetic.
- libcusparse11: No summary available for libcusparse11 in ubuntu kinetic.
No description available for libcusparse11 in ubuntu kinetic.
- libnppc11: NVIDIA Performance Primitives core 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 core runtime library.
- libnppial11: No summary available for libnppial11 in ubuntu kinetic.
No description available for libnppial11 in ubuntu kinetic.
- libnppicc11: No summary available for libnppicc11 in ubuntu kinetic.
No description available for libnppicc11 in ubuntu kinetic.
- libnppidei11: No summary available for libnppidei11 in ubuntu kinetic.
No description available for libnppidei11 in ubuntu kinetic.
- libnppif11: No summary available for libnppif11 in ubuntu kinetic.
No description available for libnppif11 in ubuntu kinetic.
- libnppig11: 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.
- libnppim11: No summary available for libnppim11 in ubuntu kinetic.
No description available for libnppim11 in ubuntu kinetic.
- libnppist11: 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.
- libnppisu11: No summary available for libnppisu11 in ubuntu kinetic.
No description available for libnppisu11 in ubuntu kinetic.
- libnppitc11: No summary available for libnppitc11 in ubuntu kinetic.
No description available for libnppitc11 in ubuntu kinetic.
- libnpps11: 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.
- libnvblas11: No summary available for libnvblas11 in ubuntu kinetic.
No description available for libnvblas11 in ubuntu kinetic.
- libnvidia-ml-dev: NVIDIA Management Library (NVML) development files
The NVIDIA Management Library (NVML) provides a monitoring and management API.
It provides a direct access to the queries and commands exposed via nvidia-smi.
.
This package contains the header file and depends on the driver-provided
library.
- libnvjpeg11: No summary available for libnvjpeg11 in ubuntu kinetic.
No description available for libnvjpeg11 in ubuntu kinetic.
- libnvrtc-builtins11.5: No summary available for libnvrtc-builtins11.5 in ubuntu kinetic.
No description available for libnvrtc-
builtins11. 5 in ubuntu kinetic.
- libnvrtc11.2: No summary available for libnvrtc11.2 in ubuntu kinetic.
No description available for libnvrtc11.2 in ubuntu kinetic.
- 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.
- libnvvm4: No summary available for libnvvm4 in ubuntu kinetic.
No description available for libnvvm4 in ubuntu kinetic.
- nsight-compute: No summary available for nsight-compute in ubuntu kinetic.
No description available for nsight-compute in ubuntu kinetic.
- nsight-compute-target: No summary available for nsight-compute-target in ubuntu kinetic.
No description available for nsight-
compute- target in ubuntu kinetic.
- nsight-systems: No summary available for nsight-systems in ubuntu kinetic.
No description available for nsight-systems in ubuntu kinetic.
- nsight-systems-target: No summary available for nsight-systems-target in ubuntu kinetic.
No description available for nsight-
systems- target in ubuntu kinetic.
- nvidia-cuda-dev: No summary available for nvidia-cuda-dev in ubuntu kinetic.
No description available for nvidia-cuda-dev in ubuntu kinetic.
- nvidia-cuda-gdb: No summary available for nvidia-cuda-gdb in ubuntu kinetic.
No description available for nvidia-cuda-gdb in ubuntu kinetic.
- nvidia-cuda-gdb-dbgsym: No summary available for nvidia-cuda-gdb-dbgsym in ubuntu kinetic.
No description available for nvidia-
cuda-gdb- dbgsym in ubuntu kinetic.
- nvidia-cuda-toolkit: No summary available for nvidia-cuda-toolkit in ubuntu kinetic.
No description available for nvidia-cuda-toolkit in ubuntu kinetic.
- nvidia-cuda-toolkit-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.
.
Note that CUDA documentation is no longer bundled with CUDA toolkit releases.
Visit https://docs.nvidia. com/cuda for the latest documentation on CUDA.
- nvidia-cuda-toolkit-gcc: No summary available for nvidia-cuda-toolkit-gcc in ubuntu kinetic.
No description available for nvidia-
cuda-toolkit- gcc in ubuntu kinetic.
- nvidia-opencl-dev: No summary available for nvidia-opencl-dev in ubuntu kinetic.
No description available for nvidia-opencl-dev in ubuntu kinetic.
- nvidia-profiler: No summary available for nvidia-profiler in ubuntu kinetic.
No description available for nvidia-profiler in ubuntu kinetic.
- 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.
