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38 lines
2.2 KiB
Markdown
38 lines
2.2 KiB
Markdown
# simpleVulkan - Vulkan CUDA Interop Sinewave
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## Description
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This sample demonstrates Vulkan CUDA Interop. CUDA imports the Vulkan vertex buffer and operates on it to create sinewave, and synchronizes with Vulkan through vulkan semaphores imported by CUDA. This sample depends on Vulkan SDK, GLFW3 libraries, for building this sample please refer to "Build_instructions.txt" provided in this sample's directory
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## Key Concepts
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Graphics Interop, CUDA Vulkan Interop, Data Parallel Algorithms
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## Supported SM Architectures
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[SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 5.3 ](https://developer.nvidia.com/cuda-gpus) [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)
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## Supported OSes
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Linux, Windows
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## Supported CPU Architecture
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x86_64, aarch64
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## CUDA APIs involved
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### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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cudaStreamCreateWithFlags, cudaExternalMemoryGetMappedBuffer, cudaSignalSemaphore, cudaWaitExternalSemaphoresAsync, cudaVertMem, cudaImportExternalSemaphore, cudaWaitSemaphore, cudaHeightMap, cudaSetDevice, cudaGetDeviceCount, cudaSignalExternalSemaphoresAsync, cudaTimelineSemaphore, cudaStreamSynchronize, cudaDestroyExternalMemory, cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaImportExternalMemory, cudaGetDeviceProperties, cudaDestroyExternalSemaphore
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## Dependencies needed to build/run
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[X11](../../../README.md#x11), [VULKAN](../../../README.md#vulkan)
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## Prerequisites
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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