cuda unified memory example

CUDA Unified Memory | A simple example | Windows | Visual Studio 2017

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//CUDA Synchronization | A quick example of CUDA Device Memory | Cuda Education | Cuda Tutorial
//Company: CUDA Education | cudaeducation.com | cudaeducation@gmail.com | Please donate at cudaeducation.com
//YouTube Channel (please subscribe): https://www.youtube.com/channel/UCzpwNg0Ai8zCzbsEtozkfFQ
//Twitter: @cudaeducation
//Have questions? Comment on the YouTube channel https://www.youtube.com/channel/UCzpwNg0Ai8zCzbsEtozkfFQ or email cudaeducation@gmail.com
//Donate: Visit cudaeducation.com to donate to the cause
//DISCLAIMER: This code is for teaching purposes only! CUDA Education does not guarantee the accuracy of this code in any way.  This code should not be used in a production or commercial environment.  Any liabilities or loss resulting from the use of this code, in whole or in part, will not be the responsibility of CUDA Education.
//All rights reserved.  This code is the property of CUDA Education.  Please contact CUDA Education at cudaeducation@gmail.com if you would like to use this code in any way, shape or form.

//CODING ENVIRONMENT:
//CUDA Toolkit 10.0
//Windows environment
//Visual Studio 2017 Community Edition
//nVidia GeForce 1050 ti Graphics Card
//Compute Capability 6.5

//Install CUDA Toolkit: cudaeducation.com/howtoprogramcuda




#include "cuda_runtime.h"
#include "device_launch_parameters.h"

#include <stdio.h>

__device__ __managed__ int cuda_education_variable = 10;

__global__ void printfromkernel()
{
	printf("cuda_education_variable from device function: %d\n", cuda_education_variable);
}

int main()
{
	printf("cuda_education_variable from host function: %d\n", cuda_education_variable);

	printfromkernel << <1, 5 >> > ();

	//do not recall the same kernel before the previous kernel is done executing
	cudaDeviceSynchronize();
	
	printf("cuda_education_variable from host function: %d\n", cuda_education_variable);

	printfromkernel << <1, 1 >> > ();
}

//CUDA Synchronization | A quick example of CUDA Device Memory | Cuda Education | Cuda Tutorial

//Company: CUDA Education | cudaeducation.com | cudaeducation@gmail.com | Please donate at cudaeducation.com

//YouTube Channel (please subscribe): https://www.youtube.com/channel/UCzpwNg0Ai8zCzbsEtozkfFQ

//Twitter: @cudaeducation

//Have questions? Comment on the YouTube channel https://www.youtube.com/channel/UCzpwNg0Ai8zCzbsEtozkfFQ or email cudaeducation@gmail.com

//Donate: Visit cudaeducation.com to donate to the cause

//DISCLAIMER: This code is for teaching purposes only! CUDA Education does not guarantee the accuracy of this code in any way. This code should not be used in a production or commercial environment. Any liabilities or loss resulting from the use of this code, in whole or in part, will not be the responsibility of CUDA Education.

//CODING ENVIRONMENT:

//CUDA Toolkit 10.0

//Windows environment

//Visual Studio 2017 Community Edition

//nVidia GeForce 1050 ti Graphics Card

//Compute Capability 6.5

//Install CUDA Toolkit: cudaeducation.com/howtoprogramcuda

#include "cuda_runtime.h"

#include "device_launch_parameters.h"

#include <stdio.h>

__device__ __managed__ int cuda_education_variable = 10;

__global__ void printfromkernel()

{

printf("cuda_education_variable from device function: %d\n", cuda_education_variable);

}

int main()

{

printf("cuda_education_variable from host function: %d\n", cuda_education_variable);

printfromkernel << <1, 5 >> > ();

//do not recall the same kernel before the previous kernel is done executing

cudaDeviceSynchronize();

printf("cuda_education_variable from host function: %d\n", cuda_education_variable);

printfromkernel << <1, 1 >> > ();

}

Next: CUDA Synchronization

NVIDIA CUDA / GPU Programming | Tutorial

Posted on February 10, 2019 by admin