Torsten Hoefler: Catalogue data in Autumn Semester 2017 |
| 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  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, F. Mattern, 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. For information of the course or projects available, see https://www.dsl.inf.ethz.ch/ or contact Prof. Mattern, Prof. Wattenhofer, Prof. Roscoe or Prof. G. Alonso. | ||||
| 263-2800-00L | Design of Parallel and High-Performance Computing | 7 credits | 3V + 2U + 1A | T. Hoefler, M. Püschel | |
| 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 folklore. | ||||
| 263-3504-00L | Hardware Acceleration for Data Processing | 2 credits | 2S | G. Alonso, T. Hoefler, O. Mutlu, C. Zhang | |
| Abstract | The seminar will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular. | ||||
| Learning objective | The seminar will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular. | ||||
| Content | The general application areas are big data and machine learning. The systems covered will include systems from computer architecture, high performance computing, data appliances, and data centers. | ||||
| Prerequisites / Notice | Students taking this seminar should have the necessary background in systems and low level programming. | ||||