CUDA on Debian lenny

CUDA is a technology by NVIDIA to accelerate scientific computations by the help of GPUs. Unfortunately, Debian isn’t supported officially yet. The toolkit for Ubuntu should come closest to it. First, the toolkit has to be installed, e.g. to $HOME/share/cuda, and then the SDK, e.g. to $HOME/share/NVIDIA_CUDA_SDK. These two paths shall be referred to as $CUDA_PATH and $SDK_PATH in the following. GCC and g++ have to be downgraded to version 4.1 (from ‘etch’), as 4.2 (from ‘lenny’) doesn’t work with CUDA yet.

Like described in $SDK_PATH/ReleaseNotes.html, $CUDA_PATH/bin has to be in the $PATH and $CUDA_PATH/lib in the $LD_LIBRARY_PATH. Unfortunately, this isn’t enough for Debian to successfully compile the examples (via cd $SDK_PATH && make): The $CUDA_INSTALL_PATH in line 38 of the Makefile $SDK_PATH/common/common.mk has to be corrected to the $CUDA_PATH.

To compile the GLUT code, the development package freeglut3-dev has to be installed. With that it’s now possible to compile the examples; the binaries go into $SDK_PATH/bin/linux/release.

Posted by Stephan Paukner in GNU/Linux at 08:52 | Comments (2) | Trackback (1)

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Logbook of Stephan Paukner on : CUDA and GpuCV on Debian lenny

About ¾ of a year later I did my next try with installing NVIDIA CUDA on Debian lenny, mainly because I wanted to try GpuCV, a GPU-accelerated computer vision library that&#8217;s partly compliant with OpenCV. Debian is still not officially supported by

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Anonymous on :

Thanks for your guide. I’m running into a problem though when building the SDK examples. I’ve changed the common.mk file and installed freeglut3-dev as your guide suggestions. Here is the error I get, any suggestion to resolve this would be appreciated. make[1]: Entering directory `/root/NVIDIA_CUDA_SDK/projects/dct8x8’ /usr/local/cuda/lib/libcudart.so: undefined reference to `__stack_chk_fail@GLIBC_2.4’ collect2: ld returned 1 exit status

Stephan on :

Hi! I think that my article should already be considered outdated. I’m afraid I won’t resolve that, as I haven’t been working with CUDA since then and had to upgrade to GCC 4.3 due to more important projects.

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