simple CUDA program execution without GPU hardware using NVIDIA GPU computing SDK 4.0 and microsoft VC++ 2010 express

Question

I am new to GPU computing , but somewhere I've read that it's possible to execute a CUDA program without a GPU card using a simulator/ emulator. I have installed NVIDIA's GPU Computing SDK 4.0 and Visual C++ 2010 Express on Windows Vista. I would like to know:

Whether it is feasible or not to run CUDA code without a GPU, using NVIDA's Computing SDK 4.0 and Visual C++ 2010 express?

Why I get the following error, when I try to execute a sample program I have:

------ Build started: Project: example1, Configuration: Debug Win32 ------ 
1>  '"\nvcc.exe"' is not recognized as an internal or external command, 
1>  operable program or batch file. 
1>  Performing Custom Build Tools 
1> C:\Program Files\MSBuild\Microsoft.Cpp\v4.0\Microsoft.CppCommon.targets(151,5):
error MSB6006: "cmd.exe" exited with code 9009.

I'm unsure if I have installed all the required software, if something else is needed, or if I need to use another version of the product.

CUDA requires the full version of visual studio, it does not work with visual studio express. — talonmies
– talonmies, Commented Dec 7, 2011 at 13:48

Michael Haidl · Accepted Answer · 2011-12-07 10:28:48Z

2

You have to install the NVIDA CUDA Toolkit 4.0 witch brings you the nvcc compiler, all headers and libraries needet to build a CUDA program.

The CUDA Toolkit can be found here CUDA Toolkit 4.0

As far as i know the emulation mode is no longer supported in CUDA versions >= 3.0, if i'm wrong someone may correct me on this topic. You'll need a CUDA enabled device to run a CUDA program.

answered Dec 7, 2011 at 10:28

Michael Haidl

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2 Comments

karlphillip Over a year ago

Indeed, newer versions of CUDA Toolkit don't support EMULATOR anymore. So I suggest you stay with an older version, like CUDA Toolkit 2.3.

Ade Miller Over a year ago

The older versions of the SDK had less VS integration and the emulator was very slow. I'd really recommend ponying up the $ for a CUDA capable card. Unless you want something cutting edge we're not talking a lot of money here.

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