General Assembly Meeting in Dresden

Mar 18, 2024, 9:30 AM → Mar 19, 2024, 3:45 PM Europe/Berlin

Dorint Hotel Dresden

Monday, March 18 ¶

9:30 AM → 10:00 AM Registration + Welcome Coffee

10:00 AM → 10:10 AM Welcome + Overview¶

Conveners: Prof. Erhard Rahm (Leipzig University / ScaDS.AI Dresden/Leipzig), Prof. Wolfgang E. Nagel (TU Dresden / ScaDS.AI Dresden/Leipzig)

10:10 AM → 10:25 AM Project News / Transfer & Service¶

Conveners: Dr Eric Peukert (Leipzig University / ScaDS.AI Dresden/Leipzig), Dr René Jäkel (TU Dresden / ScaDS.AI Dresden/Leipzig)

10:25 AM → 10:45 AM Robotics Lab¶

Speaker: Prof. Roberto Calandra (TU Dresden)

10:45 AM → 11:05 AM Deep Learning for the Analysis of Images and Text Data in Oncology¶

Speaker: Prof. Jakob N. Kather (TU Dresden)

11:05 AM → 11:15 AM Announcement¶

Speaker: Dr Eric Peukert (Leipzig University / ScaDS.AI Dresden/Leipzig)

11:15 AM → 11:40 AM Coffee Break

11:40 AM → 11:55 AM Pain Points of Developing AI-Enabled Systems in Industry¶

Speaker: Prof. Norbert Siegmund (Leipzig University / ScaDS.AI Dresden/Leipzig)

11:55 AM → 12:10 PM Hybrid Mixed Reality Interfaces for Immersive Data Analysis¶

Speaker: Prof. Raimund Dachselt (TU Dresden / ScaDS.AI Dresden/Leipzig)

12:10 PM → 12:25 PM Streamlining Data Sharing in Machine Learning with Dataverse¶

Speaker: L. Sherpa

12:25 PM → 12:40 PM PhD: Deep Learning for Acute Stroke Care¶

Speaker: Mrs Marie-Sophie von Braun (Leipzig University / ScaDS.AI Dresden/Leipzig)

12:40 PM → 12:55 PM PhD: Redefining ‘differential signalling’ in models of synaptic dynamics by considering transition states in spiking neurons with homogeneous frequency input spikes¶

Speaker: Mr Ferney Beltran Velandia (Leipzig University / ScaDS.AI Dresden/Leipzig)

12:55 PM → 2:25 PM Lunch

2:25 PM → 3:55 PM Breakout Sessions + Networking¶

1: Team Lead Session
2: Graduate School

3:55 PM → 4:30 PM Coffee Break

4:30 PM → 7:00 PM PI Session and Networking¶

7:00 PM → 8:30 PM Dinner¶

Tuesday, March 19 ¶

9:00 AM → 3:30 PM Track 1¶

9:00 AM Basics of HPC / Data Management: New Filesystems, Workspaces, Data Transfer¶

10:30 AM Coffee Break

11:00 AM Software Management: Module System, Virtual Environments / Running Programs: Batch System¶

12:00 PM Lunch

1:00 PM Parallel Hands-On Sessions¶

Prerequisites: to follow the hands-on session on HPC please have your ZIH login at hand.

A: Guided hands-on
- In the session, you'll receive ready-to-use notebooks to acquaint yourself with fundamental HPC features. Following this, you'll be equipped to start with your own research question using HPC. No prerequisites are required.

B: Consultancy with your own code/data
- Please bring your own pipeline/problem to work on, with the assistance of our HPC experts. We aim to help you with setting up your software stack, starting with distributed training, setting up an ML Ops workflow, investigating performance, and many more.

C: OmniOpt - Efficient Parallel Hyperparameter Optimization on HPC
-In this session, learn to optimize hyper-parameters (HPs) crucial for neural networks and other machine-learning methods efficiently. Explore OmniOpt, a specialized tool for TU Dresden's HPC cluster, designed to streamline HP optimization for various problems. Leveraging HPCs powerful GPUs, CPUs, and storage ensures swift handling of even large problems. We will cover (i) a brief HP optimization overview, (ii) hands-on OmniOpt usage with a practical example, and (iii) result evaluation using OmniOpt's toolbox. You are encouraged to bring your own code for optimization. 
Link: https://scads.ai/transfer-2/verfuegbare-software-dienste-en/omniopt/

9:00 AM → 2:30 PM Track 2¶

9:00 AM Discuss improvements for data sharing / common services¶

Speaker: Mr Matthias Täschner (Leipzig University / ScaDS.AI Dresden/Leipzig)

10:30 AM Coffee Break

11:00 AM Licensing of material¶

Speaker: Mr Robert Haase (Leipzig University / ScaDS.AI Dresden/Leipzig)

12:00 PM Lunch

1:00 PM Clean Code (Robert Martin)¶

Speaker: Mrs Mariia Tkachenko (Leipzig University / ScaDS.AI Dresden/Leipzig)