Torsten Hoefler: Katalogdaten im Herbstsemester 2020
|Name||Herr Prof. Dr. Torsten Hoefler|
Inst. f. Hochleistungsrechnersyst.
ETH Zürich, CAB F 75
|Telefon||+41 44 632 63 44|
|252-0817-00L||Distributed Systems Laboratory|
Gilt nur für MSc-Reglement 09: Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 Kreditpunkte über Laboratorien erarbeitet werden. Diese Labs gelten nur für das Masterstudium. Weitere Laboratorien werden auf dem Beiblatt aufgeführt.
|10 KP||9P||G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, A. Singla, 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||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.|