CUDA Code Samples There are many CUDA code samples included as part of the CUDA Toolkit to help you get started on the path of writing software with CUDA C/C++ The code samples covers a wide range of applications and techniques, including:...
Sample CUDA Code GitHub repository of sample CUDA code to help developers learn and ramp up development of their GPU-accelerated applications. Learn more NVIDIA Developer Forums An information exchange to help developers get answers to their technical questions directly from NVIDIA engineers. Learn ...
Sample_code —add 2 numbersThis sample code adds 2 numbers together with a GPU: 1.Define akernel (a function to run on a GPU).2.Allocate & initialize the host data.3.Allocate & initialize the device data.4.Invoke a kernel in the GPU.5.Copy kernel output to the host.6.Cleanup.◆De...
1>C:\ProgramData\NVIDIA Corporation\CUDA Samples\v11.4\0_Simple\asyncAPI>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4\bin\nvcc.exe" -gencode=arch=compute_35,code=\"sm_35,compute_35\" -gencode=arch=compute_37,code=\"sm_37,compute_37\" -gencode=arch=compute_50,code=\"s...
cudaFreeHost, cudaMemcpy Assert Linux, Windows www.nvidia.com CUDA Samples TRM-06704-001_v8.0 | 19 Samples Reference simpleAssert_nvrtc - simpleAssert with libNVRTC This CUDA Runtime API sample is a very basic sample that implements how to use the assert function in the device code. ...
whole-code全部移植到 CUDA 第14 章:CUDA 库 文件知识点 thrust_scan_vector.cu使用thrust中的设备矢量 thrust_scan_pointer.cu使用thrust中的设备指针 cublas_gemm.cu用cuBLAS实现矩阵相乘 cusolver.cu用cuSolver求矩阵本征值 curand_host1.cu用cuRAND产生均匀分布的随机数 ...
This CUDA Runtime API sample is a very basic sample that implements how to use the assert function in the device code. Requires Compute Capability 2.0 . Supported SM Architecture SM 3.5, SM 3.7, SM 5.0, SM 5.2, SM 5.3, SM 6.0, SM 6.1, SM 6.2, SM 7.0, SM 7.2, SM 7.5, SM 8.0...
As an illustration, the following sample code adds two vectors A and B of size N and stores the result into vector C: Here, each of the N threads that execute VecAdd() performs one pair-wise addition【两两相加】. 2.2. Thread Hierarchy【线程层次结构】 ...
Delete the Cuda sample code. To enable proper IntelliSense functionality you need to include the following header files to your *.cu file (from toolkit-include folder): #include <cuda.h> #include <device_launch_parameters.h> #include <texture_fetch_functions.h> ...
3、验证是否安装成功 从官网上下载示例程序Code Samples并解压: #进入示例目录cd /usr/src/cudnn_samples_v5/mnistCUDNN#编译示例程序make clean &&make#运行./mnistCUDNN 如果安装成功,则会看到打印一些相关信息(太长就不贴出来了),最后会显示Test passed!