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How Do I Set Up a CUDA Project in Visual Studio 2008?

Mary-Kate Olsen
Release: 2024-11-05 06:29:02
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How Do I Set Up a CUDA Project in Visual Studio 2008?

How do I start a new CUDA project in Visual Studio 2008?

Introduction

Starting a new CUDA project in Visual Studio 2008 involves creating a project, adding .cu files for your CUDA code, and linking with the CUDA runtime library. Here's a detailed step-by-step guide:

Using the NvCudaRuntimeApi.rules File (CUDA Toolkit 3.2 and Later)

  1. Create a new project: Use Visual Studio's standard wizards to create a new project, such as an empty console project.
  2. Add .cu files: Implement your CUDA kernels and wrappers in .cu files and add them to your project.
  3. Add NvCudaRuntimeApi.rules: Right-click on the project, select "Custom Build Rules," and add the NvCudaRuntimeApi.rules file.
  4. Link with CUDA runtime: Right-click on the project, select "Properties," and add cudart.lib to the "Linker -> Input -> Additional Dependencies." Also, add $(CUDA_PATH)lib$(PlatformName) to the "Additional Library Directories."
  5. Compile and run: Build the project to compile the .cu files and link them into the final executable.

Using the Cuda.rules File (CUDA Toolkit 3.1 and Earlier)

  1. Create a new project: As before, create a new project using Visual Studio's standard wizards.
  2. Add .cu files: Create .cu files for your CUDA code and include them in the project.
  3. Add Cuda.rules: Right-click on the project, select "Custom Build Rules," and add the Cuda.rules file.
  4. Link with CUDA runtime: Right-click on the project, select "Properties," and add cudart.lib to the "Linker -> Input -> Additional Dependencies." Also, add $(CUDA_LIB_PATH) to the "Additional Library Directories."
  5. Compile and run: Build the project to compile and link the CUDA code.

Additional Tips:

  • Change the code generation to use statically loaded C runtime (/MT) to match the CUDA runtime.
  • Enable syntax highlighting for .cu files using the usertype.dat file.
  • Consider using Intellisense support with the appropriate registry entry.
  • Avoid relying on cutil, as it's not supported by NVIDIA and can lead to problems. Instead, roll your own error checking.

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