My lab just received a Tesla C2070 , and the card is installed on a machine running windows server 64 bits. I'm supposed to write some cuda simulations. Do I need to install the 64 bits version of the SDK and CUDA toolkits ? The reason I'm asking is because I'd like to use Visual c++ express to compile and they seem to be really really 32 bit oriented. Or is there another compiler which would altogether free me from that restriction ?
Thanks.
Edit 1 Thanks for the answers. So far I can compile 32 bits cuda / openCL code. After installing the SDK, changing the target to 64 and linking against 64b lib, well it still won't work.
C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations\CUDA 4.2.targets(361,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.2\bin\nvcc.exe" -gencode=arch=compute_10,code=\"sm_10,compute_10\" --use-local-env --cl-version -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin\x86_amd64" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.2\include" -G --keep-dir "x64\Debug" -maxrregcount=0 --machine 64 --compile -g -Xcompiler "/EHsc /nologo /Od /Zi /MDd " -o "x64\Debug\test.cu.obj" "c:\Users\A\Documents\Visual Studio 2010\Projects\cudaTest2\cudaTest2\test.cu"" exited with code -1.
Finally, is there a point to compile to a 64bit app when speaking about gpgpu simulation ? What I mean is that the code running on the host is nearly nothing, and the code running on the gpu well it's compiled by nvcc so doesn't really matter what I chose, 32 or 64... Am I wrong (probably) ?
You should download the 64bit SDK for 64Bit OS,In that there are libraries for both the version 32Bit and 64Bit.For visual C++ 32Bit application you should use 32Bit libraries and it will work.
For example in my case: I have 64Bit Windows7 OS,for this I have used 64Bit CUDA SDK and for developing my 32bit c++ application in visual studio 2008 I have used 32Bit libraries of cuda exported with the SDK.