Teaching Activities

Scientific Computing II (SS13)

Lecture:	Jens Saak	Office Hours:	on appointment
Tutorial:	Martin Köhler	Office Hours:	on appointment

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

Schedule

Lecture:	on Tuesdays, 15:30 - 17:00 hrs., G02-111	on Thursdays, 15:00 - 16:45 hrs., G05-307 (odd weeks)	Begin: Tue. 04/09/2013
Tutorial:	on Thursdays, 15:00 - 16:45 hrs., G05-307 (even weeks)

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.

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

List of recommended literature

Teaching Material

Lecture Slides

Slides Introduction
Slides Performance Measures
Slides Multicore and Multiprocessors Part I
Slides Multicore and Multiprocessors Part II
Slides Multicore and Multiprocessors Part III
Slides Multicore and Multiprocessors Part IV
Slides Multicore and Multiprocessors Part V
Slides GPU Computing and Accelerators Part I
Slides GPU Computing and Accelerators Part II
Slides GPU Computing and Accelerators Part III
Slides GPU Computing and Accelerators Part IV
Slides GPU Computing and Accelerators Part V
Slides Distributed Memory Systems Part I
Slides Distributed Memory Systems Part II
Slides Distributed Memory Systems Part III
Slides Distributed Memory Systems Part IV
Slides Distributed Memory Systems Part V

Exercise Materials

Subroutines to measure wall- and CPU-time: timer.c timer.h
Virtual Machine for the Exercises