mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-10-07 02:19:14 +08:00
353 lines
13 KiB
C++
353 lines
13 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* This sample demonstrates CUDA Interop with Vulkan using cuMemMap APIs.
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* Allocating device memory and updating values in those allocations are
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* performed by CUDA and the contents of the allocation are visualized by
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* Vulkan.
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*/
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#include "VulkanBaseApp.h"
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#include <iostream>
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#include <iomanip>
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#include <chrono>
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#include <algorithm>
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#include "MonteCarloPi.h"
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#include <helper_cuda.h>
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#include <cuda.h>
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#include "helper_multiprocess.h"
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//#define DEBUG
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#ifndef DEBUG
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#define ENABLE_VALIDATION (false)
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#else
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#define ENABLE_VALIDATION (true)
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#endif
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#define NUM_SIMULATION_POINTS 50000
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std::string execution_path;
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class VulkanCudaPi : public VulkanBaseApp {
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typedef struct UniformBufferObject_st { float frame; } UniformBufferObject;
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VkBuffer m_inCircleBuffer, m_xyPositionBuffer;
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VkDeviceMemory m_inCircleMemory, m_xyPositionMemory;
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VkSemaphore m_vkWaitSemaphore, m_vkSignalSemaphore;
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MonteCarloPiSimulation m_sim;
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UniformBufferObject m_ubo;
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cudaStream_t m_stream;
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cudaExternalSemaphore_t m_cudaWaitSemaphore, m_cudaSignalSemaphore;
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using chrono_tp = std::chrono::time_point<std::chrono::high_resolution_clock>;
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chrono_tp m_lastTime;
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size_t m_lastFrame;
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public:
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VulkanCudaPi(size_t num_points)
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: VulkanBaseApp("simpleVulkanMMAP", ENABLE_VALIDATION),
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m_inCircleBuffer(VK_NULL_HANDLE),
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m_xyPositionBuffer(VK_NULL_HANDLE),
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m_inCircleMemory(VK_NULL_HANDLE),
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m_xyPositionMemory(VK_NULL_HANDLE),
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m_sim(num_points),
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m_ubo(),
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m_stream(0),
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m_vkWaitSemaphore(VK_NULL_HANDLE),
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m_vkSignalSemaphore(VK_NULL_HANDLE),
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m_cudaWaitSemaphore(),
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m_cudaSignalSemaphore(),
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m_lastFrame(0) {
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// Add our compiled vulkan shader files
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char* vertex_shader_path =
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sdkFindFilePath("vert.spv", execution_path.c_str());
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char* fragment_shader_path =
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sdkFindFilePath("frag.spv", execution_path.c_str());
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m_shaderFiles.push_back(
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std::make_pair(VK_SHADER_STAGE_VERTEX_BIT, vertex_shader_path));
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m_shaderFiles.push_back(
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std::make_pair(VK_SHADER_STAGE_FRAGMENT_BIT, fragment_shader_path));
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}
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~VulkanCudaPi() {
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if (m_stream) {
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// Make sure there's no pending work before we start tearing down
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checkCudaErrors(cudaStreamSynchronize(m_stream));
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checkCudaErrors(cudaStreamDestroy(m_stream));
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}
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if (m_vkSignalSemaphore != VK_NULL_HANDLE) {
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checkCudaErrors(cudaDestroyExternalSemaphore(m_cudaSignalSemaphore));
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vkDestroySemaphore(m_device, m_vkSignalSemaphore, nullptr);
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}
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if (m_vkWaitSemaphore != VK_NULL_HANDLE) {
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checkCudaErrors(cudaDestroyExternalSemaphore(m_cudaWaitSemaphore));
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vkDestroySemaphore(m_device, m_vkWaitSemaphore, nullptr);
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}
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if (m_xyPositionBuffer != VK_NULL_HANDLE) {
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vkDestroyBuffer(m_device, m_xyPositionBuffer, nullptr);
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}
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if (m_xyPositionMemory != VK_NULL_HANDLE) {
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vkFreeMemory(m_device, m_xyPositionMemory, nullptr);
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}
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if (m_inCircleBuffer != VK_NULL_HANDLE) {
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vkDestroyBuffer(m_device, m_inCircleBuffer, nullptr);
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}
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if (m_inCircleMemory != VK_NULL_HANDLE) {
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vkFreeMemory(m_device, m_inCircleMemory, nullptr);
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}
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}
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void fillRenderingCommandBuffer(VkCommandBuffer& commandBuffer) {
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VkBuffer vertexBuffers[] = {m_inCircleBuffer, m_xyPositionBuffer};
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VkDeviceSize offsets[] = {0, 0};
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vkCmdBindVertexBuffers(commandBuffer, 0,
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sizeof(vertexBuffers) / sizeof(vertexBuffers[0]),
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vertexBuffers, offsets);
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vkCmdDraw(commandBuffer, (uint32_t)(m_sim.getNumPoints()), 1, 0, 0);
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}
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void getVertexDescriptions(
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std::vector<VkVertexInputBindingDescription>& bindingDesc,
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std::vector<VkVertexInputAttributeDescription>& attribDesc) {
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bindingDesc.resize(2);
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attribDesc.resize(2);
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bindingDesc[0].binding = 0;
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bindingDesc[0].stride = sizeof(float);
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bindingDesc[0].inputRate = VK_VERTEX_INPUT_RATE_VERTEX;
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bindingDesc[1].binding = 1;
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bindingDesc[1].stride = sizeof(vec2);
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bindingDesc[1].inputRate = VK_VERTEX_INPUT_RATE_VERTEX;
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attribDesc[0].binding = 0;
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attribDesc[0].location = 0;
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attribDesc[0].format = VK_FORMAT_R32_SFLOAT;
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attribDesc[0].offset = 0;
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attribDesc[1].binding = 1;
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attribDesc[1].location = 1;
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attribDesc[1].format = VK_FORMAT_R32G32_SFLOAT;
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attribDesc[1].offset = 0;
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}
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void getAssemblyStateInfo(VkPipelineInputAssemblyStateCreateInfo& info) {
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info.sType = VK_STRUCTURE_TYPE_PIPELINE_INPUT_ASSEMBLY_STATE_CREATE_INFO;
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info.topology = VK_PRIMITIVE_TOPOLOGY_TRIANGLE_LIST;
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info.primitiveRestartEnable = VK_FALSE;
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}
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void getWaitFrameSemaphores(
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std::vector<VkSemaphore>& wait,
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std::vector<VkPipelineStageFlags>& waitStages) const {
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if (m_currentFrame != 0) {
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// Have vulkan wait until cuda is done with the vertex buffer before
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// rendering
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// We don't do this on the first frame, as the wait semaphore hasn't been
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// initialized yet
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wait.push_back(m_vkWaitSemaphore);
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// We want to wait until all the pipeline commands are complete before
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// letting cuda work
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waitStages.push_back(VK_PIPELINE_STAGE_ALL_COMMANDS_BIT);
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}
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}
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void getSignalFrameSemaphores(std::vector<VkSemaphore>& signal) const {
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// Add this semaphore for vulkan to signal once the vertex buffer is ready
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// for cuda to modify
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signal.push_back(m_vkSignalSemaphore);
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}
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void initVulkanApp() {
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const size_t nVerts = m_sim.getNumPoints();
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// Obtain cuda device id for the device corresponding to the Vulkan physical
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// device
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int deviceCount;
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int cudaDevice = cudaInvalidDeviceId;
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checkCudaErrors(cudaGetDeviceCount(&deviceCount));
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for (int dev = 0; dev < deviceCount; ++dev) {
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cudaDeviceProp devProp = {};
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checkCudaErrors(cudaGetDeviceProperties(&devProp, dev));
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if (isVkPhysicalDeviceUuid(&devProp.uuid)) {
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cudaDevice = dev;
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break;
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}
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}
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if (cudaDevice == cudaInvalidDeviceId) {
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throw std::runtime_error("No Suitable device found!");
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}
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// On the corresponding cuda device, create the cuda stream we'll using
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checkCudaErrors(cudaSetDevice(cudaDevice));
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checkCudaErrors(
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cudaStreamCreateWithFlags(&m_stream, cudaStreamNonBlocking));
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m_sim.initSimulation(cudaDevice, m_stream);
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importExternalBuffer(
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(void*)(uintptr_t)m_sim.getPositionShareableHandle(),
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getDefaultMemHandleType(), nVerts * sizeof(vec2),
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VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_VERTEX_BUFFER_BIT,
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VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT, m_xyPositionBuffer,
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m_xyPositionMemory);
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importExternalBuffer(
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(void*)(uintptr_t)m_sim.getInCircleShareableHandle(),
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getDefaultMemHandleType(), nVerts * sizeof(float),
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VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_VERTEX_BUFFER_BIT,
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VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT, m_inCircleBuffer,
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m_inCircleMemory);
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// Create the semaphore vulkan will signal when it's done with the vertex
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// buffer
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createExternalSemaphore(m_vkSignalSemaphore,
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getDefaultSemaphoreHandleType());
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// Create the semaphore vulkan will wait for before using the vertex buffer
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createExternalSemaphore(m_vkWaitSemaphore, getDefaultSemaphoreHandleType());
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// Import the semaphore cuda will use -- vulkan's signal will be cuda's wait
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importCudaExternalSemaphore(m_cudaWaitSemaphore, m_vkSignalSemaphore,
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getDefaultSemaphoreHandleType());
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// Import the semaphore cuda will use -- cuda's signal will be vulkan's wait
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importCudaExternalSemaphore(m_cudaSignalSemaphore, m_vkWaitSemaphore,
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getDefaultSemaphoreHandleType());
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}
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void importCudaExternalSemaphore(
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cudaExternalSemaphore_t& cudaSem, VkSemaphore& vkSem,
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VkExternalSemaphoreHandleTypeFlagBits handleType) {
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cudaExternalSemaphoreHandleDesc externalSemaphoreHandleDesc = {};
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if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueWin32;
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} else if (handleType &
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VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_WIN32_KMT_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueWin32Kmt;
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} else if (handleType & VK_EXTERNAL_SEMAPHORE_HANDLE_TYPE_OPAQUE_FD_BIT) {
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externalSemaphoreHandleDesc.type =
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cudaExternalSemaphoreHandleTypeOpaqueFd;
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} else {
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throw std::runtime_error("Unknown handle type requested!");
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}
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#ifdef _WIN64
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externalSemaphoreHandleDesc.handle.win32.handle =
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(HANDLE)getSemaphoreHandle(vkSem, handleType);
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#else
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externalSemaphoreHandleDesc.handle.fd =
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(int)(uintptr_t)getSemaphoreHandle(vkSem, handleType);
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#endif
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externalSemaphoreHandleDesc.flags = 0;
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checkCudaErrors(
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cudaImportExternalSemaphore(&cudaSem, &externalSemaphoreHandleDesc));
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}
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VkDeviceSize getUniformSize() const { return sizeof(UniformBufferObject); }
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void updateUniformBuffer(uint32_t imageIndex, size_t globalFrame) {
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m_ubo.frame = (float)globalFrame;
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void* data;
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vkMapMemory(m_device, m_uniformMemory[imageIndex], 0, getUniformSize(), 0,
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&data);
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memcpy(data, &m_ubo, sizeof(m_ubo));
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vkUnmapMemory(m_device, m_uniformMemory[imageIndex]);
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}
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std::vector<const char*> getRequiredExtensions() const {
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std::vector<const char*> extensions;
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extensions.push_back(VK_KHR_EXTERNAL_MEMORY_CAPABILITIES_EXTENSION_NAME);
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extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_CAPABILITIES_EXTENSION_NAME);
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extensions.push_back(VK_KHR_EXTERNAL_FENCE_CAPABILITIES_EXTENSION_NAME);
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extensions.push_back(
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VK_KHR_GET_PHYSICAL_DEVICE_PROPERTIES_2_EXTENSION_NAME);
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return extensions;
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}
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std::vector<const char*> getRequiredDeviceExtensions() const {
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std::vector<const char*> extensions;
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extensions.push_back(VK_KHR_EXTERNAL_MEMORY_EXTENSION_NAME);
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extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_EXTENSION_NAME);
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#ifdef _WIN64
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extensions.push_back(VK_KHR_EXTERNAL_MEMORY_WIN32_EXTENSION_NAME);
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extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_WIN32_EXTENSION_NAME);
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#else
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extensions.push_back(VK_KHR_EXTERNAL_MEMORY_FD_EXTENSION_NAME);
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extensions.push_back(VK_KHR_EXTERNAL_SEMAPHORE_FD_EXTENSION_NAME);
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#endif /* _WIN64 */
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return extensions;
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}
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void drawFrame() {
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static chrono_tp startTime = std::chrono::high_resolution_clock::now();
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chrono_tp currentTime = std::chrono::high_resolution_clock::now();
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float time = std::chrono::duration<float, std::chrono::seconds::period>(
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currentTime - startTime)
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.count();
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if (m_currentFrame == 0) {
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m_lastTime = startTime;
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}
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cudaExternalSemaphoreWaitParams waitParams = {};
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waitParams.flags = 0;
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waitParams.params.fence.value = 0;
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cudaExternalSemaphoreSignalParams signalParams = {};
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signalParams.flags = 0;
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signalParams.params.fence.value = 0;
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// Have vulkan draw the current frame...
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VulkanBaseApp::drawFrame();
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// Wait for vulkan to complete it's work
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checkCudaErrors(cudaWaitExternalSemaphoresAsync(&m_cudaWaitSemaphore,
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&waitParams, 1, m_stream));
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// Now step the simulation
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m_sim.stepSimulation(time, m_stream);
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// Signal vulkan to continue with the updated buffers
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checkCudaErrors(cudaSignalExternalSemaphoresAsync(
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&m_cudaSignalSemaphore, &signalParams, 1, m_stream));
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}
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};
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int main(int argc, char** argv) {
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execution_path = argv[0];
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VulkanCudaPi app(NUM_SIMULATION_POINTS);
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app.init();
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app.mainLoop();
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return 0;
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}
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