所谓CUDA与OpenGL的交互,其实就是,以前我们在cpu中开辟内存,再复制到gpu中,计算每个像素的值,再将位图传回cpu中。现在是用opengl在GPU中开辟内存,cuda对这块内存进行操作,然后再由opengl绘制显示。
《CUDA by Example》--chapter10 code 先来介绍CUDA中的一个函数:cudaHostAlloc(),理解这个函数,要和标准C语言中的()联系起来。malloc()函数是CPU在主存中开辟内存并返回指针,而cudaHostAlloc()是cuda在主存中开辟指定内存并返回指针。cuda开辟和CPU开辟的主存有什么不同?CPU是分配可分页的(Pagable)主机内存,而cu...
gitclonehttps://github.com/CodedK/CUDA-by-Example-source-code-for-the-book-s-examples-.git 首先是报错 nvcc -o ray ray.cu In file included from ../common/cpu_bitmap.h:20:0, from ray.cu:19: ../common/gl_helper.h:44:21: fatal error: GL/glut.h: No such file or directory#inclu...
Download source code for the book's examples (.zip) NOTE:Please readthis licensebefore downloading the software. Errata CUDA by Example Table of Contents Why CUDA? Why Now? Getting Started Introduction to CUDA C Parallel Programming in CUDA C ...
The following C++ example code shows usage: #include <iostream> #include "/usr/local/cuda-14.0/bin/nv_decode.h" using namespace std; int main(int argc, char **argv) { const char* mangled_name = "_ZN6Scope15Func1Enez"; int status = 1; ...
Auto-generating most of the SYCL code using the Intel DPC++ Compatibility Tool, which provides a side-by-side comparison of CUDA to SYCL code. See a Migration Example Manually analyzing CUDA sources and replacing all specific CUDA calls with the equivalent SYCL calls. The Intel DPC++ Compati...
Supported SM Architecture CUDA API Key Concepts Supported OSes SM 2.0, SM 3.0, SM 3.2, SM 3.5, SM 3.7, SM 5.0, SM 5.2, SM 5.3, SM 6.0, SM 6.1 cudaMalloc, cudaFree, cudaMemcpy Performance Strategies Linux, Windows, OS X clock_nvrtc - Clock libNVRTC This example shows how to use ...
Distribution Contents --- The end user license (license.txt) Code examples from chapters 3-11 of "CUDA by Example: An Introduction to General-Purpose GPU Programming" Common code shared across examples This README file (README.txt) Compiling the Examples --- The vast majority of these code ...
Important note Building examples via CMake is broken as discussed in issueCUDA Error 700, Illegal Memory Access, for a trivial example using Struct interface#845. As far as I can test, this hasn't been fixed Examples need to be built separately via Make ...
pythonCopy codeimporttorchimporttorchvision defcuda_example():# 创建GPU设备 device=torch.device("cuda"iftorch.cuda.is_available()else"cpu")# 加载数据集 dataset=torchvision.datasets.CIFAR10("data/",train=True,download=True)# 创建数据加载器 ...