A simple CUDA-MFC program

Well, it’s just a simple CUDA program written in MFC framework. You know, all CUDA examples in NVIDIA SDK were written by using GLUT library, so they only use glut-window. Here, I’m trying to combine CUDA+OpenGL+GLSL in an MFC program, and this is the result.

And the idea is simple, we can write CUDA kernel as a new class. Yeaa… then, you know how to work with a class, rite ?

#pragma once
// includes, system
#include
#include
#include
#include 
// includes, project
#include
// Required header to support CUDA vector types
#include

__global__ void kernel( int* g_data );
__global__ void kernel2( int2* g_data );
__global__ void landKernel(float4* pos, unsigned int width, unsigned int height);

class CcudaKernel
{
public:
	CcudaKernel(void);
	~CcudaKernel(void);

	void DoKernel(dim3 gridD, dim3 blockD, int* g_data);
	void DoKernel2(dim3 gridD, dim3 blockD, int2* g_data);
	void launchLandKernel(float4* pos, unsigned int mesh_width,
						 unsigned int mesh_height);
	void computeGold(char* reference, char* idata, const unsigned int len);
	void computeGold2(int2* reference, int2* idata, const unsigned int len);
	void runTest(const int argc, const char** argv, char* data, int2* data_int2, unsigned int len);

	void loadtotexture(cudaArray* cu_array, cudaChannelFormatDesc channelDesc);
	void unbindTexture();
public:
	bool success;

};

You can download the complete code from the links below. But, please drop a comment or email for the password, I’ll reply within 24 hours.

Note: It was developed in VS 2008 on a 32-bit machine

for CUDA 3.0 : cudaMFC.rar

for CUDA 3.1 : cudaMFC31.rar (thanks to Jun Wei for experience sharing in compiling this code using CUDA 3.1)

for CUDA 3.2 : use the same code with CUDA 3.1, but you need to make some changes in your project and it’s all about new build rules provided by CUDA toolkit. So, follow these steps (thanks to Manel for giving me idea on this) :

1. Put your cursor on project root, then go to Project menu, then click Custom Build Rules.. (see image below)
2. A Visual C++ Custom Build Rules Files window will appear..  select one of CUDA Runtime API Build Rule (v3.2) and click OK then.
3.  Go to the Project’s Properties, find Configuration Properties > Linker > General, and in Additional Library Directories row, add $(CUDA_PATH)/lib/$(PlatformName).
4. Still in Project’s Properties, find the CUDA Runtime API in the sidebar, click General, then in Additional Include Directories row fill with $(NVSDKCOMPUTE_ROOT)/C/common/inc, then click OK.
5. Compile it now.

If you get more problem in compiling the codes, please let me know.

Advertisement