Torsten Hoefler: Catalogue data in Autumn Semester 2012 |
Name | Prof. Dr. Torsten Hoefler |
Field | Scalable Parallel Computing |
Address | Inst. f. Hochleistungsrechnersyst. ETH Zürich, OAT V 15 Andreasstrasse 5 8092 Zürich SWITZERLAND |
torsten.hoefler@inf.ethz.ch | |
URL | http://htor.inf.ethz.ch |
Department | Computer Science |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
252-5251-00L | Computational Science | 2 credits | 2S | P. Arbenz, T. Hoefler, P. Koumoutsakos | |
Abstract | Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory. | ||||
Learning objective | Studying and presenting fundamental works of Computational Science. Learning how to make a scientific presentation. | ||||
Content | Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory. | ||||
Lecture notes | none | ||||
Literature | Papers will be distributed in the first seminar in the first week of the semester | ||||
263-2800-00L | Design of Parallel and High-Performance Computing | 7 credits | 3V + 2U + 1A | M. Püschel, T. Gross, T. Hoefler | |
Abstract | Advanced topics in parallel / concurrent programming. | ||||
Learning objective | Understand concurrency paradigms and models from a higher perspective and acquire skills for designing, structuring and developing possibly large concurrent software systems. Become able to distinguish parallelism in problem space and in machine space. Become familiar with important technical concepts and with concurrency folkore. |