Torsten Hoefler: Katalogdaten im Herbstsemester 2021 |
| Name | Herr Prof. Dr. Torsten Hoefler |
| Lehrgebiet | Skalierbares Parallelrechnen |
| Adresse | Inst. f. Hochleistungsrechnersyst. ETH Zürich, OAT V 15 Andreasstrasse 5 8092 Zürich SWITZERLAND |
| torsten.hoefler@inf.ethz.ch | |
| URL | http://htor.inf.ethz.ch |
| Departement | Informatik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 252-0817-00L | Distributed Systems Laboratory | 10 KP | 9P | G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, R. Wattenhofer, C. Zhang | |
| Kurzbeschreibung | 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. | ||||
| Lernziel | Gain hands-on-experience with real products and the latest technology in distributed systems. | ||||
| Inhalt | 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   Number of participants limited to 125. | 9 KP | 3V + 2U + 3A | T. Hoefler, M. Püschel | |
| Kurzbeschreibung | Advanced topics in parallel and high-performance computing. | ||||
| Lernziel | 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. | ||||
| Inhalt | 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. | ||||
| Voraussetzungen / Besonderes | 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. | ||||