Scientific Computing II (Summer Term 2019)

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:	Wed. 9:30-11:00 (G22a-210)	Wed. 11:15-12:45 (G22A-210, even weeks)
Tutorial:	Wed. 11:15-12:45 (G22A-210, odd weeks)

Exceptions:

no Lecture & no Tutorial on May 8

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

Lecture Slides:

Lecture Slides (updated: May 31, 2019)

Homework and Exercises

Tutorial 1, 4th April 2019, Tutorial: 10th April 2019
Homework 1, 4th April 2019, Return on 22nd April 2019, Review on 24th April 2019, Skeleton code: skeleton_sparse.tar.gz
Homework 2, 15th May 2019, Return on 21st May 2019, Review on 24th April 2019, Skeleton code: skeleton_sparse.tar.gz