HPC for Simulation Science

Course Syllabus

Dr.-Ing. Holger Marschall

Content

The content of the course HPC for Simulation Science can be found in structured form as a mind-map (Link).

Learning Objectives

This course will be about both theory and practice!

• provide the necessary background on parallel scientific computing
• focus on practical examples covering different parallel programming models
• gain experience by solving these examples
• advice on principal HPC considerations

Concept

The course will follow the flipped classroom concept which inverts the traditional learning experience:

• Lectures are shared outside of class time for individual review as homework, and
• classroom time is reserved for guided discussions and active-learning formats (including exercises).

Conceptual Goals

The principal goals of flipping are as follows:

• To make the classroom an active-learning environment
• To enable students to learn at their own pace, and
• To give the lecturer more time to teach more individually, adapting to feedback during class.

Support

• Lecture Videos with Worksheets
• Frequent Hands-on Exercises (supported by tutors and using Jupyter Notebook)
• Plenum (classroom event with guided discussions and active learning)
• Forum (Q&A moderated by tutors)
• Consultation Hour (Thursdays at 2 pm)

Getting started

Have a look into the README file!