Seminar with Practical: Scalable Computing Systems and Applications in AI, Big Data and HPC

As part of this seminar, you will create a presentation, work on a small-scale practical project and write a 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, practical project and report. You will first select a topic and a use case related to the overall topic of the course. Then, during the term you will prepare a presentation to introduce the topic and the state of the art. Next, you will realize a small-scale project by practically working on your topic. This includes evaluating performance and scalability, as well as analyzing and quantifying the contribution of your topic or tool. Finally, you present your results in another presentation.

The presentation time is 25 minutes (plus discussion) for each presentation. A short report describing your work in the practical project 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.

• No skills/knowledge is required
• Understanding of Linux basics and having used Linux before and being able to operate a Bash shell is beneficial
• We will provide a short crash course at the beginning of the course and link supplementary training material

• Describe approaches for the development of scalable systems and applications
• Sketch efficient algorithms and concepts
• Analyze and summarize state-of-the-art concepts, tools and research papers
• Deliver a technical presentation for a professional audience
• Explore and apply concepts or tools to improve scalability for a selected use case
• Quantify efficiency and scalability of selected use cases

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 into the direction of your choice. Feel free to propose your own great topic.

• Application of agentic coding to maintaince of scientific software
• Benchmarking Sparse Attention in LLMs
• Benchmarking Streaming Systems for HPC Data Ingestion
• Benchmarking Time-Series Models for HPC Failure Prediction
• Building an End-to-End Edge-to-HPC Streaming Pipeline
• Centralized package management using EESSI and E4S
• Confidential Computing
• Ethical AI Scheduler for HPC Clusters
• Experimental Evaluation of Workflow Scheduling Algorithms on Heterogeneous HPC Systems
• Fault Injection Methodologies for HPC Reliability Testing
• Feature Engineering for HPC Log-Based Anomaly Detection
• Interoperability Between Groupware and Collaboration Platforms
• IoT-enabled and AI Driven Camera Live Detection via HPC Processing
• Kubernetes Multi-Cluster Management
• MCP as a new NLP interface to scientific software
• Multi-Metric Correlation Analysis for Failure Precursors
• Neuromorphic Computing with SpiNNaker
• Performance Evaluation of Jacobi Iterative Solution
• Performance Evaluation of Physics Mini-Apps
• Performance Evaluation of Shallow Water Code
• Rootless Kubernetes
• Scalable databases with e.g., Elasticsearch, Postgres
• Service Discovery and Traffic Management in Cloud Applications
• Swarm AI Ethics for High-Performance Data Analytics
• Synthetic Workflow Generation for Benchmarking HPC Scheduling Algorithms
• Syscall Security Mechanisms in HPC
• 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 final presentation (30% of the mark) and the report (70%).

• 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 topic presentations
• 28.05.2026 Student topic presentations
• 04.06.2026 Student topic presentations
• 11.06.2026 Student topic presentations
• 18.06.2026 Student topic presentations
• 25.06.2026 Student result presentations
• 02.07.2026 Student result presentations
• 09.07.2026 Student result presentations
• 17.07.2026 Student result presentations
• 31.09.2026 Deadline for the submission of the report