Running jobs: resources and monitoring [online, CIP201]

Incorrectly gauging the resources needed for your jobs can have a negative effect on your research team's endeavours. Requesting excessive resources needlessly reduces the priority of upcoming tasks, while requesting too little may lead to incomplete execution.
In this workshop, we will present guidelines to help you estimate the required storage and memory for your jobs, along with the appropriate CPU time as a function of the number of requested CPUs. A short analysis will also help you assess whether or not a GPU accelerator is worth using.

• Academic participant: $10 (This rate applies to anyone studying, teaching or working at a university or CEGEP)
• Non-academic participant: $200 (This rate applies to anyone who does not fit the academic profile)

➔ If you are not sure which rate is right for you, please contact us by e-mail at [email protected]

• Being able to connect to a remote server with SSH
• CIP101 completion or being able to submit jobs to the Slurm scheduler

• Understanding the various job types
• Choosing the right resources
• Monitoring active and completed jobs

Olivier Fisette, analyst in advanced research computing at Calcul Québec.

English

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

• A certificate of participation will be send to each participant who attends at least 60% of the workshop.
• The workshop is not recorded.
• The workshop could be canceled if the number of registrations is too low.

For any question, please write to [email protected]

Event Venue

Online