cuda-samples/Samples/cudaNvSciNvMedia
2021-08-03 19:02:58 +05:30
..
.vscode add and update samples with CUDA 11.4 update 1 support 2021-08-03 19:02:58 +05:30
nvmedia_utils Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30
cuda_consumer.cu cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
cuda_consumer.h cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
cudaNvSciNvMedia_Readme.pdf Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30
findnvsci.mk Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30
lenaRGB.rgba Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30
main.cpp cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
Makefile Add and update samples with CUDA 11.2 support 2020-12-10 01:05:32 +05:30
NsightEclipse.xml Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30
nvmedia_producer.cpp cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
nvmedia_producer.h cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
nvsci_setup.cpp cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
nvsci_setup.h cudaNvSciNvMedia plane offset correction 2021-06-10 17:33:24 +05:30
README.md add and update samples with CUDA 11.4 support 2021-06-30 11:26:41 +05:30
sample.cfg Add cudaNvSciNvMedia sample with/without nvsci* APIs, it takes RGBA image as input and produces YUV via nvmedia 2020-11-24 16:28:04 +05:30

cudaNvSciNvMedia - NvMedia CUDA Interop

Description

This sample demonstrates CUDA-NvMedia interop via NvSciBuf/NvSciSync APIs. Note that this sample only supports cross build from x86_64 to aarch64, aarch64 native build is not supported. For detailed workflow of the sample please check cudaNvSciNvMedia_Readme.pdf in the sample directory.

Key Concepts

CUDA NvSci Interop, Data Parallel Algorithms, Image Processing

Supported SM Architectures

SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6

Supported OSes

Linux, QNX

Supported CPU Architecture

aarch64

CUDA APIs involved

CUDA Runtime API

cudaImportExternalMemory, cudaExternalMemoryGetMappedBuffer, cudaExternalMemoryGetMappedMipmappedArray, cudaImportExternalSemaphore, cudaSignalExternalSemaphoresAsync, cudaWaitExternalSemaphoresAsync, cudaDestroyExternalSemaphore, cudaDestroyExternalMemory

Dependencies needed to build/run

NVSCI, NvMedia

Prerequisites

Download and install the CUDA Toolkit 11.4 for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.

Build and Run

Linux

The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:

$ cd <sample_dir>
$ make

The samples makefiles can take advantage of certain options:

  • TARGET_ARCH= - cross-compile targeting a specific architecture. Allowed architectures are aarch64. By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.
    $ make TARGET_ARCH=aarch64
    See here for more details.

  • dbg=1 - build with debug symbols

    $ make dbg=1
    
  • SMS="A B ..." - override the SM architectures for which the sample will be built, where "A B ..." is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use SMS="50 60".

    $ make SMS="50 60"
    
  • HOST_COMPILER=<host_compiler> - override the default g++ host compiler. See the Linux Installation Guide for a list of supported host compilers.

    $ make HOST_COMPILER=g++

References (for more details)