5443602d89
Release 13.4 of the CUDA Samples supported by CUDA Toolkit 13.4. See Changelog for more information.
cudaNvSci - CUDA NvSciBuf/NvSciSync Interop
Description
This sample demonstrates CUDA-NvSciBuf/NvSciSync Interop. Two CPU threads import the NvSciBuf and NvSciSync into CUDA to perform two image processing algorithms on a ppm image - image rotation in 1st thread & rgba to grayscale conversion of rotated image in 2nd thread.
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 SM 8.7 SM 8.9 SM 9.0
Supported OSes
Linux, QNX (standard and safety cross-builds)
Supported CPU Architecture
x86_64, aarch64
CUDA APIs involved
CUDA Driver API
cuDeviceGetUuid
CUDA Runtime API
cudaExternalMemoryGetMappedBuffer, cudaImportExternalSemaphore, cudaDeviceGetAttribute, cudaNvSciSignal, cudaGetMipmappedArrayLevel, cudaImportNvSciRawBuf, cudaSetDevice, cudaImportNvSciImage, cudaNvSciApp, cudaDeviceId, cudaMallocHost, cudaSignalExternalSemaphoresAsync, cudaCreateTextureObject, cudaFreeHost, cudaNvSci, cudaNvSciWait, cudaGetDeviceCount, cudaMemcpyAsync, cudaStreamCreateWithFlags, cudaExternalMemoryGetMappedMipmappedArray, cudaStreamDestroy, cudaDeviceGetNvSciSyncAttributes, cudaDestroyTextureObject, cudaDestroyExternalMemory, cudaImportExternalMemory, cudaDestroyExternalSemaphore, cudaFreeMipmappedArray, cudaFree, cudaStreamSynchronize, cudaWaitExternalSemaphoresAsync, cudaImportNvSciSemaphore
Dependencies needed to build/run
Prerequisites
Download and install the CUDA Toolkit for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.
On a QNX cross-build the NvSci headers and libraries come from the target filesystem, so pass -DTARGET_FS=/path/to/qnx/targetfs to cmake. Without it the build reports NvSCI not found and skips this sample. See the QNX build instructions.