NASP/cuda-samples
47
0
Fork 0
mirror of https://github.com/NVIDIA/cuda-samples.git synced 2025-07-01 12:00:49 +08:00
Code Issues Packages Projects Releases Wiki Activity

Final 12.9 README updates

Browse Source
This commit is contained in:
Rob Armstrong 2025-05-01 09:39:06 -07:00
parent 14b1bfdcc4
commit c70d79cf3b
3 changed files with 4 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
CHANGELOG.md
View File

@ -2,6 +2,7 @@
### CUDA 12.9
* Updated toolchain for cross-compilation for Tegra Linux platforms.
* Added `run_tests.py` utility to exercise all samples. See README.md for details
* Repository has been updated with consistent code formatting across all samples
* Many small code tweaks and bug fixes (see commit history for details)
* Removed the following outdated samples:

4
README.md
View File

@ -14,7 +14,7 @@ This section describes the release notes for the CUDA Samples on GitHub only.
### Prerequisites
Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
For system requirements and installation instructions of cuda toolkit, please refer to the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/), and the [Windows Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
### Getting the CUDA Samples
@ -122,7 +122,7 @@ Instead of being in the default location, `/usr/local/cuda/include` or `/usr/loc
`/usr/local/cuda/<ARCH>/targets/aarch64-linux/lib`
and
`/usr/local/cuda-12.8/<ARCH>/include`
`/usr/local/cuda/<ARCH>/include`
An example build might look like this:

2
Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
View File

@ -30,7 +30,7 @@ cudaDeviceGetAttribute, cudaNvSciBufMultiplanar, cudaDestroyExternalMemory, cuDr
## Prerequisites
Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)