Since hist_gpu_gmem_atomics.cu requires compute capability 1.1 to function properly, the easiest way to compile this example is, > nvcc -arch=sm_11 hist_gpu_gmem_atomics.cu Similarly, hist_gpu_shmem_atomics.cu relies on features of compute capability 1.2, so it can be compiled as follows...
主要涉及不同threads之间的通信和同步, 首先利用https://github.com/yottaawesome/cuda-by-example/blob/master/src/chapter05/add_loop_long_blocks.cu这个例子解释了blocksPerGrid, threadsPerBlock的含义,以及如何完成长度超过threads上限的向量加运算。 同一个block内的threads间可以利用shared memory共享数据 __synct...
CUDA By Example 示例所需配置:Clion+MSVC+CMake+OpenGL Mr.Cao 1.Clion使用cl.exe配置工具链 -- 略 2.GL库准备(1)下载freeglut,选择 for MSVC,并进行解压 --> freeglut(2)在项目中添加GL目录,并将freeglut中的include和lib目录复制至GL目录(图片写成CL了,大家自行更改就行)(...
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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...
《CUDA by Example》 中文译本:《GPU高性能编程CUDA实战》 CUDA by Example 8.4 Jason Sanders Edward Kandrot / 2010 / Addison-Wesley Professional 虽然这本书比较老了,但是作为入门级别还是完全可以的,主要可以快速掌握如何编写cuda c算子,如何使用各级存储,并学习如何测性能,初步体验写算子的快乐。
The reference kernel in this example performs a batched matrix multiply X * A + Y, where A, X, and Y are matrices. Kernel parameters store the coefficients of A. Prior to CUDA 12.1, when the coefficients exceeded the parameter limit of 4,096 bytes, they were explicitly copied over to ...
这是基本内存池的示例,代码名为 `mempool_example.cu`。 #include __global__voidpopulateMemory(int* chunk) { inti = threadIdx.x + blockDim.x * blockIdx.x; chunk[i] = i; } intmain(intargc,char**argv) { intpoolSize = 4096 *sizeof(int); ...
This CUDA Runtime API sample is a very basic example that implements how to use the stream attributes that affect L2 locality. Performance improvement due to use of L2 access policy window can only be noticed on Compute capability 8.0 or higher. Supported SM Architecture SM 3.5, SM 3.7, SM...
Example: CPU/GPU Shared Linked Lists 链表是一种非常常见的数据结构,但是由于它们本质上是由指针组成的嵌套数据结构,因此在内存空间之间传递它们非常复杂。如果没有统一内存模型,则无法在CPU和GPU之间分享链表。唯一的选择是在零拷贝内存(被pin住的主机内存)中分配链表,这意味着GPU的访问受限于PCI-express性能。通过...