Scientific Computing II (Summer Term 2021)

The lecture treats the efficient implementation of numerical algorithms with special focus on modern hardware architectures. Special implementation techniques for Multicore and GPU machines will be presented with higher insight. Distributed computing basics will also be presented.

Schedule - Certifications - Recommended Literature - Teaching Material - Homework and Exercises - Links

Schedule

Lecture: Thursdays 15:15-16:45
Tutorial: Mondays 11:15-12:45

All events are happening online at this BigBlueButton room. The access code is distributed to all registered participants on LSF.

In calendar weeks 26 and 27, i.e. the last two weeks of term,  we are swapping lectures and exercises.

Certifications

Criteria for getting a course assessment:

  • at least 50% of all possible points from the homework
  • at least 50% of the points in one homework ( on n-1 of n homework sheets)
  • demonstrate and explain at least one exercise in the tutorial

Other possibilities to get an assessment will be announced in the lecture.

Recommended Literature

E-Books see Links section

Rauber/Rünger: Parallel Programming; Springer 2010

Hager/Wellein: Introduction to High Performance Computing for Scientists and Engineers; CRC Press 2011

Sanders/Kandrot: CUDA by Example; An Introduction to Genereal-Purpose GPU Programming; Addison Wesley 2011

Teaching Material

Homework and Exercises

The homework and the exercises in the tutorial are organized using GITLAB.

Links

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