The linux gentoo portage installation has CUDA 3.0 kits.
It is currently “masked” but seems ok so far.
I have been running CUDA 2.3 and went through the following steps to upgrade to 3.0
(doubtless there are other ways too)
emerge --sync
ebuild /usr/portage/x11-drivers/nvidia-drivers/nvidia-drivers-195.36.15.ebuild fetch
ebuild /usr/portage/x11-drivers/nvidia-drivers/nvidia-drivers-195.36.15.ebuild merge
ebuild /usr/portage/dev-util/nvidia-cuda-toolkit/nvidia-cuda-toolkit-3.0.ebuild fetch
ebuild /usr/portage/dev-util/nvidia-cuda-toolkit/nvidia-cuda-toolkit-3.0.ebuild merge
ebuild /usr/portage/dev-util/nvidia-cuda-sdk/nvidia-cuda-sdk-3.0.ebuild fetch
ebuild /usr/portage/dev-util/nvidia-cuda-sdk/nvidia-cuda-sdk-3.0.ebuild merge
modprobe -r nvidia
eselect opengl set nvidia
/opt/cuda/lib/libcudart.so.2 had disappeared (the README suggests libcudrt is not really supported)
however I have rebuilt my executable with libcutil_i386.a instead. This is slightly slower on a GTX 295
which thinks it is two GPUs, so it may be the way I am doing threading on the host to use both GPUs
and does not affect others.
Thank you
Bill
Dr. W. B. Langdon,
Department of Computer Science,
King's College London,
Strand, London, WC2R 2LS, UK
[url="http://www.dcs.kcl.ac.uk/staff/W.Langdon/"]http://www.dcs.kcl.ac.uk/staff/W.Langdon/[/url]
FOGA 2011 [url=“FOGA 2011 - Foundations of Genetic Algorithms XI”]http://www.sigevo.org/foga-2011/[/url]
CIGPU 2010 [url=“http://www.cs.ucl.ac.uk/external/W.Langdon/cigpu”]http://www.cs.ucl.ac.uk/external/W.Langdon/cigpu[/url]
A Field Guide to Genetic Programming
[url=“http://www.gp-field-guide.org.uk/”]http://www.gp-field-guide.org.uk/[/url]
RNAnet [url=“http://bioinformatics.essex.ac.uk/users/wlangdon/rnanet”]http://bioinformatics.essex.ac.uk/users/wlangdon/rnanet[/url]
GP EM [url=“Genetic Programming and Evolvable Machines | Home”]http://www.springer.com/10710[/url]
GP Bibliography [url=“The Genetic Programming Bibliography”]http://www.cs.bham.ac.uk/~wbl/biblio/[/url]