Torsten Hoefler: Catalogue data in Autumn Semester 2021

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
E-mail	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	10 credits	9P	G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, 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 Number of participants limited to 125.	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.