High-Performance Data Analytics is a vehicle to extract findings from large data sets. It is an indispensable tool in science and business but a rapidly changing field. As part of this seminar, you will create a presentation and report revolving around a selected hot topic in German or English. You will learn to research literature and may conduct small experiments to provide a holistic view of the selected topic. You will meet regularly with an assigned supervisor and work towards the presentation and report.
| Contact | Julian Kunkel, Jonathan Decker | ||
| Location | Virtual | ||
| Time | Thursday 16:15-17:45 | ||
| Language | English or German (individual presentation) | ||
| Module | M.Inf.1237: Seminar Neueste Trends in High-Performance Data Analytics | ||
| SWS | 2 | ||
| Credits | 5 | ||
| Contact time | 28 hours | ||
| Independent study | 122 hours |
As part of this seminar, you will create a presentation (and report) revolving around a research topic in German or English (your choice!). Therefore, you will meet regularly with an assigned supervisor and work towards the presentation and report.
This seminar is also available as a pro-seminar. As pro-seminar, the focus will be on learning presentation techniques while in the seminar your focus must be on presenting scientific facts and leading a scientific discussion. There are also two additional mandatory sessions for pro-seminar attendees (optional for seminar attendees).
The presentation time is 35 minutes (plus discussion). A short report accompanying the slides is expected (max 15 pages).
Please note that we plan to record sessions (lectures and seminar talks) with the intent of providing the recordings via BBB to other students but also to publish and link the recordings on YouTube for future terms. If you appear in any of the recordings via voice, camera or screen share, we need your consent to publish the recordings. See also this Slide.
This is the list of topics that we will assign to students during the first meeting. You will have some room for developing the topic in the direction of your choice. Feel free to propose your own great topic.
The exam is conducted as part of the presentation (50% of the mark) and report (50%). The focus for pro-seminars lies in the effective presentation while the focus for seminars is the depth of the scientific topic (slightly different marking schemes). The presentation should cover 35 min and the report should be 10 to 15 pages (not counting cover, toc, appendix).
| Student | Supervisor | Topic | Submissions |
| Yahya Raja | Aasish Sharma | Usage of data lakes and/or data warehouses | |
| Priyanshu Gupta | Mirac Aydin | DevOps strategies in HPC | |
| Ossama Bin Raza | Chirag Mandal | Understanding GPU performance e.g. using MLCommons ML Benchmarks | Report Slides |
| Sunny Jain | Aasish Sharma | History and Development of System Architectures | Report Slides |
| Mohd Uwaish | Michael B.Khani | GPU Computing with Python | |
| Abdallah Abdelnaby | Freja Nordsiek | RISC-V: State of the Union | Report Slides |