Teaching
→ Bachelor/Master Thesis
→ Winter Term 2023/24 Course Details
→ Summer Term 2024 Course Details
The lecture "Cloud Information Systems" and its exam have been permanently moved to the winter semester
Current Terms
Hardware-Conscious Data Processing
| Lecturer (assistant) |
|
|---|---|
| Number | 0000002005 |
| Type | Seminar |
| Duration | 2 SWS |
| Term | Sommersemester 2024 |
| Language of instruction | German |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
Dates
- 16.04.2024 10:00-12:30 01.06.011, Seminarraum
- 23.04.2024 10:00-12:30 01.06.011, Seminarraum
- 07.05.2024 10:00-12:30 01.06.011, Seminarraum
- 14.05.2024 10:00-12:30 01.06.011, Seminarraum
- 28.05.2024 10:00-12:30 01.06.011, Seminarraum
- 04.06.2024 10:00-12:30 01.06.011, Seminarraum
- 11.06.2024 10:00-12:30 01.06.011, Seminarraum
- 18.06.2024 10:00-12:30 01.06.011, Seminarraum
- 25.06.2024 10:00-12:30 01.06.011, Seminarraum
- 02.07.2024 10:00-12:30 01.06.011, Seminarraum
- 09.07.2024 10:00-12:30 01.06.011, Seminarraum
- 16.07.2024 10:00-12:30 01.06.011, Seminarraum
Admission information
See TUMonline
Note: There will be a preliminary online meeting on Wednesday, 07.02.2024, 16:00 (4pm), in which we discuss the contents and organization of the seminar. Registration will be done using the matching system. Join the online meeting here: https://bbb.cit.tum.de/vik-uhl-s66-brk Meeting Slides: https://drive.google.com/file/d/10RCj6T3f0Q9cB1nw8RncQkkjzMt9gnZd/view
Note: There will be a preliminary online meeting on Wednesday, 07.02.2024, 16:00 (4pm), in which we discuss the contents and organization of the seminar. Registration will be done using the matching system. Join the online meeting here: https://bbb.cit.tum.de/vik-uhl-s66-brk Meeting Slides: https://drive.google.com/file/d/10RCj6T3f0Q9cB1nw8RncQkkjzMt9gnZd/view
Description
Upon successful completion of this module, students are able to understand how modern data management systems leverage hardware to achieve high-performance. Students will gain insights into a variety of hardware usage, ranging from CPU- and memory-aware designs to efficient use of storage and network technologies, as well as accelerators.
Teaching and learning methods
In this seminar students will present and discuss recent papers on hardware-conscious database designs.