aura.fi.muni.cz is available to FI staff and students for longer or more demanding calculations. Access to the machine is created automatically by FI and PhD students. For study or research purposes, FI staff may grant access to other persons through
faculty administration . If you are planning to use Aura more extensively for teaching, please contact us in advance
Way of work
We are not currently considering the introduction of a queue system for long-running tasks. It is enough to run long-running processes
with a reduced priority (in the range of 10-19, 19 is the lowest). Long-running processes are those that run for more than an hour. To do this, for example, use the command
nice ./váš_program . Additionally, you can restrict the program to use only certain processors with the command
taskset . Example of starting with minimum priority on the 11th to 15th processor:
nice -n 19 taskset -c 10-14 ./váš_program
You can use the command to change the priority of an already running process
renice that can be applied to threads, processes, or process groups (see the command man page). However, keep in mind that a process can run in multiple threads, and changing the priority for a single process can change the priority of only one thread. A list of all threads in my processes, including priority, can be obtained, for example, with the following command:
ps x -Lo pgid,pid,tid,user,nice,tty,time,args
You can perform short-term processes or interactive debugging of your programs with normal priority.
In the event that your process does not comply with the priority limit and uses a large amount of computing power, all of your processes will be set to the lowest priority to prevent other users from being restricted 19. In the event of repeated or more serious violations of this rule, your faculty account may be temporarily suspended.
If you need to install libraries or tools for your work, you have (apart from local compilation) several options:
- if they are part of a distribution (
dnf search software-name), you may request administrator about installation,
- you can make module ,
- as for the Python package, it can also be installed locally using
pip/pip3 install --user, or can be used
Directories are available for temporary data that should be available locally quickly
/var/tmp on a fast RAID 10 volume. To use this space, save your data in the directory with your login. Unaccessible data (
atime ) are automatically lubricated, u
/tmp at the age of several days, u
/var/tmp in months (the exact settings can be found in the file
/etc/tmpfiles.d/tmp.conf ). Disk quotas do not apply here; however, be considerate of others when using the place.
Aura now runs on the
HP DL980 G7 platform in the configuration:
- 8 eight-core 64-bit Intel Xeon X7560 2.26 GHz processors ( 64 cores in total).
- 448 GiB DDR3 RAM
- Gigabit Ethernet connection
- 8 disks with a capacity of 300 GB, 10k RPM, connected in RAID 10, ie 1.2 TB of logical capacity