GridKa School 2019 - The Art of Data

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Sessions*

Registration

Evening Lecture

School Dinner

Tutorials

Plenary

Tarte Flambée Evening

Lunch Break

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Contributions*

Advanced Go: writing concurrent and distributed programs (in session "Tutorials")

Advancing Openness and Transparency in Scientific Contributions (in session "Plenary")

Challenges and plans of the SKA Regional Centres (in session "Plenary")

Compute Aspects of Machine Learning (in session "Plenary")

Conclusions (in session "Plenary")

Concurrent Programming in C++ (in session "Tutorials")

Continuous Benchmarking (in session "Plenary")

Databases for large-scale science (in session "Tutorials")

Design for High-Performance Computing Applications (in session "Plenary")

DevOps for Machine Learning in Academia (in session "Plenary")

Docker Container Hands-On (in session "Tutorials")

Elasticsearch and Elastic Stack: Search and Beyond (in session "Tutorials")

ELK log analysis hands-on (in session "Tutorials")

Enhance Machine Learning Performance with Intel® Software tools (in session "Tutorials")

Evaluating classifier performance (in session "Plenary")

GPU Programming 101 (in session "Plenary")

Intel’s Hardware and Software Solutions and Directions for Artificial Intelligence (in session "Plenary")

Introduction to Go (in session "Tutorials")

Introduction to HTCondor (in session "Tutorials")

Introduction to OpenMP and MPI (in session "Tutorials")

Kubernetes meets Data Scientists - An Experience Report (in session "Plenary")

Machine Learning with Neural Networks (in session "Tutorials")

Make Your Data FABulous (in session "Plenary")

Modern Classification Tasks in LHC Physics (in session "Plenary")

News (in session "Plenary")

Productive GPU Programming with OpenACC (in session "Tutorials")

Quantum Computing (in session "Tutorials")

Quantum Computing and IBM Q: An Introduction (in session "Plenary")

Research Data Management: The Serviceteam RDM@KIT (in session "Plenary")

Responsible Research and Technology Assessment (in session "Plenary")

Rust Workshop - Day 1: Introduction to Rust (in session "Tutorials")

Rust Workshop - Day 2: Using Rust on embedded systems (in session "Tutorials")

Scalable Graph Analytics (in session "Plenary")

Scalable Scientific Analysis in Python using Pandas and Dask (in session "Tutorials")

Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++ (in session "Plenary")

Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++ (in session "Tutorials")

Welcome to GridKa School (in session "Plenary")

Welcome to KIT (in session "Plenary")

Why Rust? (in session "Plenary")

Why the future of weather and climate prediction will depend on supercomputing, big data handling and artificial intelligence (in session "Evening Lecture")

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Events scheduled on*

8/26/19

8/27/19

8/28/19

8/29/19

8/30/19

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