Torsten Hoefler: Catalogue data in Autumn Semester 2016 |
| 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 | |
|---|---|---|---|---|---|
| 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 | |
| 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. | ||||