Tutorial by Examples: cuda

This example illustrates how to create a simple program that will sum two int arrays with CUDA. A CUDA program is heterogenous and consist of parts runs both on CPU and GPU. The main parts of a program that utilize CUDA are similar to CPU programs and consist of Memory allocation for data that ...

This simple CUDA program demonstrates how to write a function that will execute on the GPU (aka "device"). The CPU, or "host", creates CUDA threads by calling special functions called "kernels". CUDA programs are C++ programs with additional syntax. To see how it works...

After spending more than 5 hours, i found this easy solution: -To verify that the system has a CUDA-capable GPU, run the following command: lspci | grep -i NVIDIA You will see output similar to the following example (showing an NVIDIA Tesla K80/M60 card): -Disabling the nouveau driver: sudo...

To ensure that a GPU version TensorFlow process only runs on CPU: import os os.environ["CUDA_VISIBLE_DEVICES"]="-1" import tensorflow as tf For more information on the CUDA_VISIBLE_DEVICES, have a look to this answer or to the CUDA documentation.

#include "cuda_runtime.h" #include "device_launch_parameters.h" #include "cuda.h" #include <device_functions.h> #include <cuda_runtime_api.h> #include<stdio.h> #include <cmath> #include<stdlib.h> #include<iostream> #include...