How to Create a New CUDA Project in Visual Studio 2008
Introduction
This guide will help you navigate the process of starting a new CUDA project in Visual Studio 2008. We'll walk through the key steps required to set up your project.
Using the NvCudaRuntimeApi.rules File (CUDA Toolkit 3.2 and Later)
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Create a New Project: Use the MS wizards to create an empty console project.
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Implement Host Code: Write your serial code in .c or .cpp files.
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Implement Kernels: Define your kernels and wrappers in .cu files.
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Add Custom Build Rules: Right-click the project, select "Custom Build Rules," and tick "NvCudaRuntimeApi.rules."
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Set Library Paths: In "Linker -> General," add "$(CUDA_PATH)lib$(PlatformName)" to "Additional Library Directories" and "cudart.lib" to "Additional Dependencies."
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Set Include Path: (Optional) Add "$(CUDA_PATH)include" to "Additional Include Directories" if necessary.
Using the Cuda.rules File (CUDA Toolkit 3.1 and Earlier)
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Create a New Project: Create an empty console project with the MS wizards.
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Implement Host Code: Write your serial code in .c or .cpp files.
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Implement Kernels: Define your kernels and wrappers in .cu files.
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Add Custom Build Rules: Right-click the project, select "Custom Build Rules," and browse for the "Cuda.rules" file.
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Set Library Paths: In "Linker -> General," add "$(CUDA_LIB_PATH)" to "Additional Library Directories" and "cudart.lib" to "Additional Dependencies."
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Set Include Path: (Optional) Add "$(CUDA_INC_PATH)" to "Additional Include Directories" if necessary.
Additional Tips
- Change the Runtime Library to "/MT" to match the CUDA runtime.
- Enable syntax highlighting using the usertype.dat file.
- Add the following registry entry to enable Intellisense:
[HKEY_CURRENT_USER\Software\Microsoft\VisualStudio.0\Languages\Language Services\C/C++]
"NCB Default C/C++ Extensions"=".cpp;.cxx;.c;.cc;.h;.hh;.hxx;.hpp;.inl;.tlh;.tli;.cu;.cuh;.cl"
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- Consider avoiding cutil and implementing your own checking mechanisms.
Conclusion
By following these steps, you can efficiently set up a CUDA project in Visual Studio 2008. Remember to verify your CUDA Toolkit version and adjust the instructions accordingly.
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