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# 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 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, QNX
## Supported CPU Architecture
aarch64
## CUDA APIs involved
### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
cuDeviceGetUuid
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
cudaImportExternalSemaphore, cudaGetMipmappedArrayLevel, cudaSetDevice, cudaDestroySurfaceObject, cudaCreateSurfaceObject, cudaImportNvSciImage, cudaCreateChannelDesc, cudaMallocHost, cudaSignalExternalSemaphoresAsync, cudaFreeHost, cudaMemcpyAsync, cudaStreamCreateWithFlags, cudaExternalMemoryGetMappedMipmappedArray, cudaMallocArray, cudaFreeArray, cudaStreamDestroy, cudaDeviceGetNvSciSyncAttributes, cudaDestroyExternalMemory, cudaImportExternalMemory, cudaDestroyExternalSemaphore, cudaFreeMipmappedArray, cudaImportNvSciSync, cudaFree, cudaStreamSynchronize, cudaMalloc, cudaWaitExternalSemaphoresAsync
## Dependencies needed to build/run
[NVSCI](../../../README.md#nvsci), [NvMedia](../../../README.md#nvmedia)
## Prerequisites
Download and install the [CUDA Toolkit 12.4](https://developer.nvidia.com/cuda-downloads) 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=<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.<br/>
`$ make TARGET_ARCH=aarch64` <br/>
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) 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](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
```
$ make HOST_COMPILER=g++
```
## References (for more details)
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