# simpleVulkanMMAP - Vulkan CUDA Interop PI Approximation

## Description

 This sample demonstrates Vulkan CUDA Interop via cuMemMap APIs. CUDA exports buffers that Vulkan imports as vertex buffer. CUDA invokes kernels to operate on vertices 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

## Key Concepts

cuMemMap IPC, MMAP, Graphics Interop, CUDA Vulkan Interop, Data Parallel Algorithms

## Supported SM Architectures

[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)

## Supported OSes

Linux, Windows

## Supported CPU Architecture

x86_64, aarch64

## CUDA APIs involved

### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
cuMemCreate, cuMemAddressReserve, cuMemGetAllocationGranularity, cuMemAddressFree, cuMemUnmap, cuMemMap, cuMemRelease, cuMemExportToShareableHandle, cuMemSetAccess

### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
cudaWaitExternalSemaphoresAsync, cudaImportExternalSemaphore, cudaDeviceGetAttribute, cudaSetDevice, cudaLaunchHostFunc, cudaMallocHost, cudaSignalExternalSemaphoresAsync, cudaFreeHost, cudaMemsetAsync, cudaMemcpyAsync, cudaGetDeviceCount, cudaStreamCreateWithFlags, cudaStreamDestroy, cudaDestroyExternalSemaphore, cudaSignalSemaphore, cudaWaitSemaphore, cudaFree, cudaStreamSynchronize, cudaMalloc, cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaGetDeviceProperties

## Dependencies needed to build/run
[X11](../../../README.md#x11), [VULKAN](../../../README.md#vulkan), [GLFW](../../../README.md#glfw)

## Prerequisites

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)
