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.

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.

• Appraise research in the area of high-performance data analytics
• Compose a presentation covering their selected topic in depth
• Evaluate findings (tools or theory) of other researchers
• Explain theory and application covering their topic

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.

• AI-Inference Platforms
• Benchmarking Time-Series Models for HPC Failure Prediction
• Confidential Computing
• Data Analytics offloading to SmartNICs
• Data Serialization and Transfer Efficiency in High-Speed Pipelines
• Dynamic and Adaptive Attention in Modern Transformers
• Edge-to-HPC Data Analytics Pipelines for Real-Time Applications
• Effective intrusion detection systems (IDS) Strategies in HPC Environments
• Ethical AI Scheduler for HPC Clusters
• Event-Driven HPC: From Batch Processing to Streaming Architectures
• Explainable AI (XAI) for Intrusion Detection Systems
• Feature Engineering for HPC Log-Based Anomaly Detection
• Hybrid Optimization Approaches for Workflow Scheduling in Heterogeneous HPC Systems
• Identifying HPC code patterns suitable for optimization
• Latest and greatest developments in agentic coding
• LLM Inference Engines
• MCP as a new NLP interface to scientific software
• Multi-Metric Correlation Analysis for Failure Precursors
• Quantum-Inspired Optimization for Workflow Scheduling Using QUBO Formulations
• Running LLM Inference on Edge Devices: Opportunities and Limitations
• Scalable databases with e.g., Elasticsearch, Postgres
• Security in Cloud and HPC
• Service Discovery and Traffic Management in Cloud Applications
• Streaming Data Analytics vs Batch Processing in HPC Systems
• Swarm AI Ethics for High-Performance Data Analytics
• Time-Series Deep Learning for GPU Failure Prediction
• Using Large Language Models to Assist Workflow Scheduling Decisions
• Using Large Language Models to Generate Knowledge Base
• What's new in the Kubernetes ecosystem

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).

• 16.04.2026 Introduction & Scientific Presentation – Julian Kunkel, Jonathan Decker
  If you cannot attend contact us asap!
  • Notice on data privacy, disadvantage compensation and examination registration Hints
  • Introduction of the course format and requirements Slides
  • Assignment of topics to the participants on a first-come-first-served basis
  • Talk: Scientific Presentation Slides
    • Recording: https://youtu.be/NrahVjkUFls?si=SLzX8dxGpfO3SdgW
• 23.04.2026 LaTeX Crash Course & Scientific Writing – Julian Kunkel, Jonathan Decker
  • Introduction to LaTeX Slides
  • Showcasing our LaTeX templates https://hps.vi4io.org/teaching/ressources/start#templates
  • Talk: Scientific Writing Slides
• 24.04.2026 You have submitted your selected topic by email to jonathan.decker@uni-goettingen.de
• 30.04.2026 Effective Literature Search & Discussion of example reports – Julian Kunkel, Jonathan Decker
  • Talk: Effective Literature Search Slides
  • Discussion of example reports from previous semesters
• 04.05.2026 You have been assigned a supervisor and presentation date
• 07.05.2026
• 14.05.2026 Holiday
• 21.05.2026 Student presentations
• 28.05.2026 Student presentations
• 04.06.2026 Student presentations
• 11.06.2026 Student presentations
• 18.06.2026 Student presentations
• 25.06.2026 Student presentations
• 02.07.2026 Student presentations
• 09.07.2026 Student presentations
• 17.07.2026 Student presentations
• 31.09.2026 Deadline for the submission of the report