Torsten Hoefler: Catalogue data in Autumn Semester 2020 |
| Name | Prof. Dr. Torsten Hoefler |
| Field | Scalable Parallel Computing |
| Address | Inst. f. Hochleistungsrechnersyst. ETH Zürich, OAT V 15 Andreasstrasse 5 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 63 44 |
| torsten.hoefler@inf.ethz.ch | |
| URL | http://htor.inf.ethz.ch |
| Department | Computer Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 252-0817-00L | Distributed Systems Laboratory This only applies to Study Regulations 09: In the Master Programme max.10 credits can be accounted by Labs on top of the Interfocus Courses. These Labs will only count towards the Master Programme. Additional Labs will be listed on the Addendum. | 10 credits | 9P | G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, A. Singla, R. Wattenhofer, C. Zhang | |
| Abstract | This course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including wireless networks, ad-hoc networks, RFID, and distributed applications on smartphones. | ||||
| Learning objective | Gain hands-on-experience with real products and the latest technology in distributed systems. | ||||
| Content | This course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including as well wireless networks, ad-hoc networks, and distributed application on smartphones. The goal of the project is for the students to gain hands-on-experience with real products and the latest technology in distributed systems. There is no lecture associated to the course. | ||||
| 263-2800-00L | Design of Parallel and High-Performance Computing  | 9 credits | 3V + 2U + 3A | T. Hoefler, M. Püschel | |
| Abstract | Advanced topics in parallel and high-performance computing. | ||||
| Learning objective | Understand concurrency paradigms and models from a higher perspective and acquire skills for designing, structuring and developing possibly large parallel high-performance software systems. Become able to distinguish parallelism in problem space and in machine space. Become familiar with important technical concepts and with concurrency folklore. | ||||
| Content | We will cover all aspects of high-performance computing ranging from architecture through programming up to algorithms. We will start with a discussion of caches and cache coherence in practical computer systems. We will dive into parallel programming concepts such as memory models, locks, and lock-free. We will cover performance modeling and parallel design principles as well as basic parallel algorithms. | ||||
| Prerequisites / Notice | This class is intended for the Computer Science Masters curriculum. Students must have basic knowledge in programming in C as well as computer science theory. Students should be familiar with the material covered in the ETH computer science first-year courses "Parallele Programmierung (parallel programming)" and "Algorithmen und Datenstrukturen (algorithm and data structures)" or equivalent courses. | ||||