Newest Trends in High Performance Data Analytics

Overview

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

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).

Learning Objectives

The students will be able to

• 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

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.

to be completed

• GPU Computing with Triton
  • https://openai.com/blog/triton/
• Seagate CORTX storage system
• FPGA Computing with SciEngine
• RISC-V: State of the union
• Regression Testing for HPC
• Global Optimization (of Clusters) with Genetic Algorithms
• Julia Programming Language
• RUST Programming for HPC application
• KPI4DC - Key performance indicators for data centers
  • https://www.umweltbundesamt.de/sites/default/files/medien/5750/publikationen/2021-06-17_texte_94-2021_green-cloud-computing.pdf
• The HPC Community (for Proseminar)
• Benchmarking of HPC Systems
• History and Development of System Architectures
• Security in Cloud and HPC
• DevOps strategies in HPC
• OneAPI for heterogeneous computing (CPU, GPU, FPGA)
• Convergence of HPC and High-Performance Data Analytics
• Using Data Analytics in HPC Applications
• GPU Computing with Python
• What’s new with Spark 3
• What’s new with Tensorflow
• Development in data lakes and data warehousing
• Trends in edge computing
• Key-value stores for HPDA
• Object storage systems
• HPDA Benchmarks
• Using R for HPDA
• Security in Cloud and HPC
• Convergence of HPC and High-Performance Data Analytics
• Using Data Analytics in HPC Applications

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

XXX Preliminary discussion / Vorbesprechung. If you cannot attend contact us asap!

• Short introduction to the topics of the seminar.
• Organizational matters: How to get good marks.
• Assignment of topics to the participants on a first-come-first served basis.
• Talk: Professional presentation

XXX How to create professional presentations and reports? – Julian Kunkel This session is mandatory for pro-seminar attendees.

• In smaller groups, we will assess previous talks and reports
• You will have to prepare and give short 3-slide presentations about a familiar topic (e.g., describe the concept of a computer to adults)