Table of Contents

Seminar: Newest Trends in High-Performance Data Analytics

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.

Key information

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.

Learning Objectives

Topics

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.

Examination

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).

Agenda

Topic Distribution

Student Supervisor Topic Submissions
Sheila Navarro Patrick Höhn Machine learning performance and behavior of HPC storage systems Report Slides
Tasmia Arooj Giorgi Mamulashvili Development in data lakes and data warehousing
Pratham Shrivastava Trevor Khwam Security in Cloud and HPC Report
Michael Hubert Duah Trevor Khwam Security in Cloud and HPC Report Slides
Johann Eilts Chirag Mandal Emerging trends in cloud storage Report Slides
Abdelllah Omar Adolf Patrick Höhn Emerging trends in parallel file systems Report Slides
Zhuojing Huang Christian Boehme Quantum neural networks: Libraries and applications Report Slides
Carolin Lafeld Aasish Kumar Sharma Efficient Workflow management
Christopher Lee Lübbers Matthias Eulert Using R for HPDA Report Slides
Ayan Gupta Michael B. Khani Computational Performance Characterization of GPU-accelerated Image Analysis Report
Nils Rosenboom Narges Lux Modern Benchmarking Strategies of HPC Systems Report Slides