搜索资源列表
julia
- 一个基础的CUDA例子，绘画出julia集合。-One based on CUDA example, draw julia set.
CUDA_Startup
- CUDA入门必备：包括CUDA安装方法，语法高亮，工程Wizard文件，参考手册和编程文档。-Entry must CUDA: CUDA installation methods including, syntax highlighting, project Wizard documents, reference manuals and program documentation.
CUDAtools
- CUDA(GPU计算)开发资料，包括3份文档和一份快速开发设置工具，文档包括有CUDA环境设置，CUDA简易编程以及非常有名的深入浅出谈CUDA技术一文。-CUDA (GPU computing) development information, including three copies of the document and a set for rapid development tools, documentation including CUDA environment setting
deviceQuery
- deviceQuery确认CUDA编译环境是否确定搭建完成，能够进行CUDA工程编程-deviceQuery confirm CUDA compiler environment is set up to determine the completion of works to the CUDA programming
Julia
- 基于GOU的Julia集，用CUDA C编程，要与GPU高性能编程CUDA实战这本书一起学CUDA-Based GOU Julia set with CUDA C programming, and to learn together CUDA CUDA GPU programming high-performance combat this book
Matrix_add
- 此程序使用CUDA并行语言完成矩阵的加法。矩阵维数为3×3矩阵。矩阵维数可以更改。但是同时矩阵的处置也要手动设置。-This program uses the CUDA parallel language to complete the addition matrix. 33 matrix matrix dimensions. You can change the dimension of the matrix. However, while the disposal of the matrix
julia_gpu
- CUDA并行计算JULIA集，是GPU高性能计算的代码-CUDA Parallel Computing JULIA set, the code GPU High Performance Computing
myFirstKernel
- 启动内核--从“myFirstKernel”模板开始。 Part1：使用指针d_a为内核的结果分配设备内存。 Part2：使用1-D的1-D网格来配置和启动内核 线程块。 Part3：让每个线程设置一个d_a的元素，如下所示： idx = blockIdx.x * blockDim.x + threadIdx.x d_a [idx] = 1000 * blockIdx.x + threadIdx.x Part4：将d_a中的结果复制回主机指针h_a。 Part5：验证结果是否正