A bunch of admin notes for HPC admin.
sysinfo. Access using
- Nice askubuntu post about copying global bashrc's for everyone.
Usual admin commands
- After adding a new user, add him to the
/etc/ssh/sshd_config. Restart the ssh service with
service sshd restart
(not working) src
- Create a backup:
sudo cp /etc/bash.bashrc /etc/bash.bashrc-backup
Apps live in
I'm choosing a single custom
apps folder for complete control over installation and updating.
- BEAGLE: Installed in
/user/local/lib. Install instructions for posterity (slightly modified from the original instructions to install in
git clone --depth=1 https://github.com/beagle-dev/beagle-lib.git cd beagle-lib ./autogen.sh ./configure --prefix=/usr/local sudo make install
I put a
module_avail alias...somewhere (somewhere where I'm not really supposed to, actually), for all ssh users to be able to access. This is an alias for
- dspp: Installed via
- bowtie, bowtie2: Installed via
- samtools: Installed via SF download and
make install. It's automatically placed in
/user/local/bin, I think.
- SPAde: Local install, no path. So far, only used for
--spade_path path/to/spadeto specify path.
sudo apt-get update sudo apt-get install apt-transport-https ca-certificates -y sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D sudo echo 'deb https://ubuntu.cozycloud.cc/debian trusty main' | sudo tee /etc/apt/sources.list.d/cozy.list > /dev/null sudo apt-get update sudo apt-get purge lxc-docker sudo apt-get install linux-image-extra-$(uname -r) -y sudo apt-get install docker-engine cgroup-lite apparmor -y sudo usermod -a -G docker $USER sudo service docker start
R: Installing shared libraries
Not sure if how to organize it such that users can install their own insulated packages if required (or maybe I'll just install packages on request to prevent compatibility debt from building up). Anyway, from within the R environment, use
.libPaths() to see which paths are accessible to the R executable. "/>
Global libraries are much better setup (compared to Python). Global libraries should be installed in
/usr/lib/R/site-libraries. source. Use
sudo R to start up R with admin privileges, and run:
Check out this University cluster webpage for how they did their setup: https://www.chpc.utah.ed u/documentation/software/r-language.php.
adephylo refuses to be installed, for some strange reason.
IMPT: do NOT use
sudo pip install my_package! Reason.
Check out Andrew Perry's
miniconda set up tutorial/recipe.
which <program> to find out which version (global or
miniconda installed) is being called, if you've got more than 1 version living somewhere on the machine. e.g.:
$ which beast-mcmc /usr/bin/beast-mcmc $ which beast /home/dten0001/Downloads/beast2/bin/beast
Frankly, I didn't initially track whether libraries should be globally installed (because I didn't think to do so), so much of what's on there now is quite messy; lost track of what site-packages are on the PATH. Users are recommended to
conda install whatever they need to their local conda
env. There's a global install of Anaconda in
/opt/anaconda, but this can't be conda-updated easily, so the current workaround is just containerise everything, with no global libraries, for each user. I have my own local installation in
sys.path knows about, so I'll likely remove the
/opt/anaconda global install if it's not being used.
Try this: Install a multi-user env in a global location. https://conda.io/docs/user-guide/configuration/admin-multi-user-install.html
Containerization done using
conda. See this page for conda vs. pip vs. virtualenv info. Some exploration commands:
conda info --envs- to see what environments have been set up
conda list- from an activated environment, to see what packages have been conda or pip-installed
pip list- to see what packages have been pip-installed.
pip show <my_package>- to see where
my_packagewas pip-installed. This should ideally be a global location.
Shared Anaconda installation: installed in
/opt/anaconda3. See this SO post.
- Read up about conda: myths and misconceptions