Name: GridKa School 2019 - The Art of Data
Start: 2019-08-26T12:00:00+02:00
End: 2019-08-30T14:00:00+02:00
Location: KIT, Campus North, FTU

GridKa School 2019 - The Art of Data

from Monday, August 26, 2019 (12:00 PM) to Friday, August 30, 2019 (2:00 PM)

Monday, August 26, 2019

12:00 PM

12:00 PM - 2:00 PM
Room: Foyer
2:00 PM
2:00 PM - 6:00 PM
Room: Aula
Contributions

2:00 PM Welcome to KIT - Achim Streit (KIT-SCC)

2:30 PM Welcome to GridKa School - René Caspart (KIT - Karlsruhe Institute of Technology (DE))

2:50 PM Evaluating classifier performance - Tilmann Gneiting (Evaluating classifier performance)

4:00 PM Advancing Openness and Transparency in Scientific Contributions - Rima-Maria Rahal (Tilburg University)

4:40 PM Research Data Management: The Serviceteam RDM@KIT - Kerstin Wedlich-Zachodin (KIT) Ulrich Robert (KIT)

5:20 PM Responsible Research and Technology Assessment - Julia Hahn (Karlsruhe Institute of Technology)
Tuesday, August 27, 2019
8:55 AM
8:55 AM - 12:00 PM
Room: Aula
Contributions

9:00 AM Why Rust? - Oliver Scherer (KIT - Karlsruhe Institut of Technology)

9:40 AM Kubernetes meets Data Scientists - An Experience Report - Peter Tröger (Beuth Hochschule für Technik Berlin)

10:20 AM News - René Caspart (KIT - Karlsruhe Institute of Technology (DE))

10:40 AM Make Your Data FABulous - Philipp Krenn (Elastic)

11:20 AM Quantum Computing and IBM Q: An Introduction - Oliver Oberst (IBM)
12:00 PM

12:00 PM - 1:15 PM
1:15 PM
1:15 PM - 6:00 PM
Contributions

1:15 PM Rust Workshop - Day 1: Introduction to Rust - Oliver Scherer (KIT - Karlsruhe Institut of Technology)

1:15 PM Introduction to Go - Sebastien Binet (IN2P3/CNRS)

1:15 PM Quantum Computing - Oliver Oberst (IBM)

1:15 PM Docker Container Hands-On - Enrico Bocchi (CERN)

1:15 PM Elasticsearch and Elastic Stack: Search and Beyond - Philipp Krenn (Elastic)

1:15 PM Concurrent Programming in C++ - Graeme A Stewart (CERN)
6:30 PM

6:30 PM - 10:00 PM
Room: SCC terrace
Wednesday, August 28, 2019
9:00 AM
9:00 AM - 12:00 PM
Room: Aula
Contributions

9:00 AM Challenges and plans of the SKA Regional Centres - Zheng Meyer-Zhao

9:40 AM Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++ - Timo Bingmann (KIT)

10:40 AM Scalable Graph Analytics - Kevin Gomez (Uni Leipzig)

11:20 AM Compute Aspects of Machine Learning - Janis Keuper (Hochschule Offenburg)
12:00 PM

12:00 PM - 1:15 PM
1:15 PM
1:15 PM - 6:00 PM
Contributions

1:15 PM Introduction to OpenMP and MPI - Zheng Meyer-Zhao (ASTRON)

1:15 PM ELK log analysis hands-on - Alexandr Mikula (Czech Academy of Sciences)

1:15 PM Rust Workshop - Day 2: Using Rust on embedded systems - Oliver Scherer (KIT - Karlsruhe Institut of Technology)

1:15 PM Introduction to HTCondor - Oliver Freyermuth (University of Bonn)

1:15 PM Advanced Go: writing concurrent and distributed programs - Sebastien Binet (IN2P3/CNRS)

1:15 PM Machine Learning with Neural Networks - Markus Götz (KIT/SCC) Oskar Taubert (KIT-SCC)
6:30 PM
6:30 PM - 8:00 PM
Contributions

7:00 PM Why the future of weather and climate prediction will depend on supercomputing, big data handling and artificial intelligence - Peter Bauer (European Centre for Medium-Range Weather Forecasts (ECMWF))
Thursday, August 29, 2019
9:00 AM
9:00 AM - 11:40 AM
Room: Aula
Contributions

9:00 AM Design for High-Performance Computing Applications - Marco Berghoff (KIT)

9:40 AM GPU Programming 101 - Andreas Herten (FZ Jülich)

11:00 AM Intel’s Hardware and Software Solutions and Directions for Artificial Intelligence - Edmund Preiss (Intel)
11:40 AM

11:40 AM - 1:15 PM
1:15 PM
1:15 PM - 6:00 PM
Contributions

1:15 PM Productive GPU Programming with OpenACC - Andreas Herten (FZ Jülich)

1:15 PM Databases for large-scale science - Mario Lassnig (CERN)

1:15 PM Scalable Scientific Analysis in Python using Pandas and Dask - Florian Jetter (Blue Yonder GmbH) Sebastian Neubauer (Blue Yonder GmbH)

1:15 PM Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++ - Timo Bingmann (KIT)

1:15 PM Enhance Machine Learning Performance with Intel® Software tools - Fabio Baruffa (Intel)
8:00 PM

8:00 PM - 11:00 PM
Friday, August 30, 2019
9:00 AM
9:00 AM - 12:00 PM
Room: Aula
Contributions

9:00 AM DevOps for Machine Learning in Academia - Valentin Kozlov (Karlsruhe Institute of Technology)

9:40 AM Continuous Benchmarking - Hartwig Anzt (Karlsruher Institut für Technologie)

10:40 AM Modern Classification Tasks in LHC Physics - Tilman Plehn (Heidelberg University)

11:20 AM Conclusions - René Caspart (KIT - Karlsruhe Institute of Technology (DE))

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