nvidia-cuda-toolkit 11.8.0-5 source package in Ubuntu
Changelog
nvidia-cuda-toolkit (11.8.0-5) unstable; urgency=medium * Fix nvidia-fs kernel module build for Linux 6.4. * Use a snapshot of openjdk-8-jre (8u372-ga-1). -- Andreas Beckmann <email address hidden> Tue, 27 Jun 2023 18:17:09 +0200
Upload details
- Uploaded by:
- Debian NVIDIA Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian NVIDIA Maintainers
- 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_11.8.0-5.dsc | 9.4 KiB | 682c2b09c5372fb9e45fe06494226ed9f12ad5d536307cb75f62b58fae782907 |
| nvidia-cuda-toolkit_11.8.0.orig-amd64.tar.xz | 2.2 GiB | f7214fa939c8abf6a81fa84038ca9be370a3b0a0eba7c9a48ae9fb440435397e |
| nvidia-cuda-toolkit_11.8.0.orig-arm64.tar.xz | 1.6 GiB | 82ae98e6d9d9a7d5d38661b2b1b50d87f5a26ee34a9c2a459c1311cfbabe44e9 |
| nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-amd64-8u372-ga-1.tar.xz | 27.0 MiB | d49816d5104163891c95514390489865b78eeccc73ee9748f4ee02cb159cc282 |
| nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-jre-ppc64el-8u372-ga-1.tar.xz | 26.8 MiB | 09c2c8c199a1c1e3b85ecdee77d04897a53599ed90160e44cd091b55b2b3f835 |
| nvidia-cuda-toolkit_11.8.0.orig-openjdk-8-source-8u372-ga-1.tar.xz | 63.3 MiB | 97a1d1ba2a1f9a1a97fa9daf8fd439bd2d6dca3d89aab87caa4fe0828b231147 |
| nvidia-cuda-toolkit_11.8.0.orig-ppc64el.tar.xz | 1.6 GiB | 9a22c2b0c41208cf8e6506245fa1a64a5652fbf18dc1e992008dffd2210f5c38 |
| nvidia-cuda-toolkit_11.8.0.orig.tar.xz | 196 bytes | 5b6feaf3f12b610fa6498f5719f0eaf6b22be0da01290c5615d7ef6b5ba61d94 |
| nvidia-cuda-toolkit_11.8.0-5.debian.tar.xz | 67.4 KiB | 9af680500c45b901adfab88f59d179a406dfdd9c9a6900249daafc9e1cd4b860 |
Available diffs
- diff from 11.8.0-4 to 11.8.0-5 (pending)
No changes file available.
Binary packages built by this source
- gds-tools: GPUDirect Storage - tools
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
.
This package contains the GDS tools.
- libaccinj64-11.8: No summary available for libaccinj64-11.8 in ubuntu mantic.
No description available for libaccinj64-11.8 in ubuntu mantic.
- libcublas11: No summary available for libcublas11 in ubuntu mantic.
No description available for libcublas11 in ubuntu mantic.
- libcublaslt11: No summary available for libcublaslt11 in ubuntu mantic.
No description available for libcublaslt11 in ubuntu mantic.
- libcudart11.0: No summary available for libcudart11.0 in ubuntu mantic.
No description available for libcudart11.0 in ubuntu mantic.
- libcufft10: No summary available for libcufft10 in ubuntu mantic.
No description available for libcufft10 in ubuntu mantic.
- libcufftw10: No summary available for libcufftw10 in ubuntu mantic.
No description available for libcufftw10 in ubuntu mantic.
- libcufile-dev: GPUDirect Storage - development files
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
.
This package contains the development files: headers and libraries.
- libcufile-rdma1: GPUDirect Storage cuFile RDMA runtime library
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
.
This package contains the cuFile RDMA runtime library.
- libcufile0: GPUDirect Storage cuFile runtime library
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
.
This package contains the cuFile runtime library.
- libcuinj64-11.8: No summary available for libcuinj64-11.8 in ubuntu mantic.
No description available for libcuinj64-11.8 in ubuntu mantic.
- 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.
- libcupti11.8: No summary available for libcupti11.8 in ubuntu mantic.
No description available for libcupti11.8 in ubuntu mantic.
- 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: 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.
- libcusolvermg11: NVIDIA cuSOLVERmg 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 cuSOLVERmg runtime library.
- libcusparse11: No summary available for libcusparse11 in ubuntu mantic.
No description available for libcusparse11 in ubuntu mantic.
- libnppc11: No summary available for libnppc11 in ubuntu mantic.
No description available for libnppc11 in ubuntu mantic.
- libnppial11: No summary available for libnppial11 in ubuntu mantic.
No description available for libnppial11 in ubuntu mantic.
- libnppicc11: No summary available for libnppicc11 in ubuntu mantic.
No description available for libnppicc11 in ubuntu mantic.
- libnppidei11: No summary available for libnppidei11 in ubuntu mantic.
No description available for libnppidei11 in ubuntu mantic.
- libnppif11: No summary available for libnppif11 in ubuntu mantic.
No description available for libnppif11 in ubuntu mantic.
- libnppig11: No summary available for libnppig11 in ubuntu mantic.
No description available for libnppig11 in ubuntu mantic.
- libnppim11: No summary available for libnppim11 in ubuntu mantic.
No description available for libnppim11 in ubuntu mantic.
- libnppist11: No summary available for libnppist11 in ubuntu mantic.
No description available for libnppist11 in ubuntu mantic.
- libnppisu11: No summary available for libnppisu11 in ubuntu mantic.
No description available for libnppisu11 in ubuntu mantic.
- libnppitc11: No summary available for libnppitc11 in ubuntu mantic.
No description available for libnppitc11 in ubuntu mantic.
- libnpps11: No summary available for libnpps11 in ubuntu mantic.
No description available for libnpps11 in ubuntu mantic.
- libnvblas11: No summary available for libnvblas11 in ubuntu mantic.
No description available for libnvblas11 in ubuntu mantic.
- 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 mantic.
No description available for libnvjpeg11 in ubuntu mantic.
- libnvrtc-builtins11.8: No summary available for libnvrtc-builtins11.8 in ubuntu mantic.
No description available for libnvrtc-
builtins11. 8 in ubuntu mantic.
- libnvrtc11.2: No summary available for libnvrtc11.2 in ubuntu mantic.
No description available for libnvrtc11.2 in ubuntu mantic.
- 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: 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.
- nsight-compute: NVIDIA Nsight Compute
NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
It provides detailed performance metrics and API debugging via a user
interface and command line tool. In addition, its baseline feature allows
users to compare results within the tool. Nsight Compute provides a
customizable and data-driven user interface and metric collection and can be
extended with analysis scripts for post-processing results.
- nsight-compute-target: NVIDIA Nsight Compute (target specific libraries)
NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
It provides detailed performance metrics and API debugging via a user
interface and command line tool. In addition, its baseline feature allows
users to compare results within the tool. Nsight Compute provides a
customizable and data-driven user interface and metric collection and can be
extended with analysis scripts for post-processing results.
.
This package contains the target specific libraries.
- nsight-systems: NVIDIA Nsight Systems
NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
visualize an application’s algorithms, help you identify the largest
opportunities to optimize, and tune to scale efficiently across any quantity
or size of CPUs and GPUs; from large server to smallest SoCs.
- nsight-systems-target: NVIDIA Nsight Systems (target specific libraries)
NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
visualize an application’s algorithms, help you identify the largest
opportunities to optimize, and tune to scale efficiently across any quantity
or size of CPUs and GPUs; from large server to smallest SoCs.
.
This package contains the target specific libraries.
- 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-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-gdb-dbgsym: debug symbols for nvidia-cuda-gdb
- 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-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: NVIDIA CUDA development toolkit (GCC compatibility)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to
simplify building packages that need to be built with a CUDA-compatible
compiler.
.
This package ensures a deterministic nvcc/gcc combination is used by default
and is therefore recommended to be used as build dependency for all source
packages needing nvcc for building.
- nvidia-fs-dkms: NVIDIA file-system - nvidia-fs.ko kernel driver
GPUDirect Storage (GDS) enables a direct data path for direct memory access
(DMA) transfers between GPU memory and storage, which avoids a bounce buffer
through the CPU.
.
This package builds the nvidia-fs.ko kernel driver.
- 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: 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.
