Welcome to Introduction to High-Performance Computing Clusters
Over the last decades there have been a tremendous increases in the computational performance of computers despite these improvements, many researchers today still rely on hour long computations in their research. High-Performance computing cluster can enable researchers to utilize the combined performance of multiple computers to perform experiments
faster og scale experiments to larger instances to enable research otherwise not possible.
The course requires experience with programming in C or similar languages and knowledge of Linux/Unix (able to navigate around with a command-line interface and able to write basic shell scripts)
The goal is to give the student a basic introduction to the skills needed to utilise a high performance computing cluster in their research.
After participating in the course the student should be able to:
access and use a high performance computing cluster
develop programs for a high performance cluster
Organizer: Postdoc Andreas Engelbredt Dalsgaard, firstname.lastname@example.org
Lecturers: Postdoc Andreas Engelbredt Dalsgaard, email@example.com and Associate Professor Josva Kleist, firstname.lastname@example.org
Time: 6-10 February
6 February, Niels Jernes Vej 12A/6-104
7-10 February, Frederik Bajers Vej 7D/2-106
Zip code: 9220
City: Aalborg Ø
Number of seats: 40
Deadline: 23 January
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days.
- Teacher: Andreas Engelbredt Dalsgaard