enable installation of samples for CUDA > 10.1

[bartoldeman]

For CUDA > 5 and < 10.1 they are installed by default.
For CUDA > 10.1 we need to add --samples to the installer command
line.
I could not find any evidence of libglut being needed as osdependency
(even for CUDA 6), so deleted those comments.

[mboisson]

Should probably add a check in the sanity checks ?

Nevermind, already there.

[bartoldeman]

Test report by @bartoldeman

Overview of tested easyconfigs (in order)

• SUCCESS CUDAcore-11.0.2.eb

Build succeeded for 1 out of 1 (1 easyconfigs in total)
build-node.computecanada.ca - Linux centos linux 7.9.2009, x86_64, Intel Xeon Processor (Skylake, IBRS), Python 3.7.7
See https://gist.github.com/1410f224b2affb5eb477a7d8a954fb68 for a full test report.

[bartoldeman]

I just found out this works with 10.2 and 11.0 but fails with 10.1. Checking out why.

[boegel]

Test report by @boegel

Overview of tested easyconfigs (in order)

• SUCCESS CUDA-10.1.105-GCC-8.2.0-2.31.1.eb

Build succeeded for 1 out of 1 (1 easyconfigs in total)
node3506.doduo.os - Linux RHEL 8.2, x86_64, AMD EPYC 7552 48-Core Processor (zen2), Python 3.6.8
See https://gist.github.com/32b205a99a9717fa2dad0d9decf7552d for a full test report.

[boegel]

@bartoldeman Works fine for me with CUDA 10.1?

[boegel]

Test report by @boegel

Overview of tested easyconfigs (in order)

• SUCCESS CUDA-7.0.28.eb
• SUCCESS CUDA-8.0.44.eb

Build succeeded for 2 out of 2 (2 easyconfigs in total)
node2682.swalot.os - Linux centos linux 7.9.2009, x86_64, Intel(R) Xeon(R) CPU E5-2660 v3 @ 2.60GHz (haswell), Python 3.6.8
See https://gist.github.com/ae056bef5071cf8d176df82614089106 for a full test report.

[bartoldeman]

@bartoldeman Works fine for me with CUDA 10.1?

@boegel it's odd, it works for me as normal user but if I use sudo as different user (our software installation user) it complains. I'm still digging to figure out why.

[bartoldeman]

@boegel two things happening here:

• without --samplespath=xxx it creates two copies of the samples, one in self.installdir/samples and one in $HOME/NVIDIA_CUDA-10.1_Samples (the latter is documented here: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html). We want to avoid the HOME installation, and the only way I found out that works is to point it to a scratch location.
• if you run eb via sudo it'll try to derive HOME from SUDO_USER and also chown the files even if you change --samplespath (blindly assuming sudo made it go as root). We're using sudo -u ebuser -i eb... however and the chown fails. I've worked around this by unsetting SUDO_USER into our eb wrapper script -- please let me know if it would be appropriate to do such a thing in the easyblock, or if it's too site-specific.

[boegel]

Test report by @boegel

Overview of tested easyconfigs (in order)

• SUCCESS CUDA-7.0.28.eb
• SUCCESS CUDA-7.5.18.eb
• SUCCESS CUDA-8.0.44.eb
• SUCCESS CUDA-9.0.176.eb
• SUCCESS CUDA-9.2.88.eb
• SUCCESS CUDA-10.0.130.eb
• SUCCESS CUDA-10.1.105.eb
• SUCCESS CUDA-10.1.243.eb
• SUCCESS CUDA-11.0.2-GCC-9.3.0.eb
• SUCCESS CUDA-11.1.1-GCC-10.2.0.eb

Build succeeded for 10 out of 10 (10 easyconfigs in total)
node2618.swalot.os - Linux centos linux 7.9.2009, x86_64, Intel(R) Xeon(R) CPU E5-2660 v3 @ 2.60GHz (haswell), Python 3.6.8
See https://gist.github.com/0264bd8e43185a80feb2926315ffb8d4 for a full test report.