
Geocomputing on the Supercomputer.
2-päivänen kurssi. Opi käyttämään superkoneita paikkatietoanalyyseihin.
Geocomputing on the Supercomputer
Course overview and motivation
- Are you working with geospatial data and running close to the limits of your own computing environment?
- Are you curious on how you can take your geospatial data processing and analysis to the next level?
- Or maybe you have been using a supercomputer already, but would like to make sure your are getting the most out of it?
→ This intensive two-day course is intended for you!
In this course we will learn the basics of geocomputing on a supercomputer through a combination of lectures and hands-on activities. The main focus of the course is Roihu supercomputer, were all hands-on exercises will be done. The CSC services discussed in this course are free-of-charge for academic research, education and training purposes for Finnish higher education institutions and state research institutes (subsidized by the Ministry of Education and Culture, Finland).
Most of the course content also applies to LUMI supercomputer, which is available for academic users and companies.
The course is meant both for academic researchers planning to use Roihu supercomputer and for data analysts from private companies planning to use LUMI.
If still unsure, if supercomputers could benefit you, see CSC geocomputing page.
Course materials will be published here.
For using supercomputers following technical skills are needed:
In this course we only shortly talk about parallizing Python and R code.
Domain knowledge: spatial analysis tools and data (prerequisite)
Linux basic commands (prerequisite)
Supercomputer basics – this course is mainlly about this
Scripting skills and how to write parallel scripts, one of these: Python, R, bash, Julia, MATLAB etc. (prerequisite)
