Motivation & Main Objectives

Our society faces a wide range of global challenges in different areas such as sociology, economy, ecology and technology. Solving the most vital problems in these fields often requires the analysis of a huge amount of data, and the utilization of appropriate methods and facilities for ample computations. In HiDALGO we develop a computational and data analytics environment, which enables systematic collaboration between scientists with different background and facilitates a profound understanding of several major global challenges.

Scientific Goals

In HiDALGO we conduct research and go beyond state-of-the-art in multiple areas. Our scientific goals drive the technology evolution targeted in our project and form the foundation of our business objectives. Specifically, we pursue the following goals:

Technology Evolution

In HiDALGO, we advance HPC, HPDA and AI technologies in order to improve data-centric computation in general. Although we mainly concentrate on three specific pilot applications, the technology baseline we develop in this project can also be extended to other application domains as well. The technology evolution in HiDALGO integrates our scientific objectives into a platform, which documents the success of the individual project developements and generates the required impact to establish a sustainable Centre of Excellence.

Sergiy Gogolenko will give a talk at ISC'20 on June 23, one of the premier events for HPC

Sergiy Gogolenko, Technical Coordinator of HiDALGO, will give a presentation at ISC High Performance 2020 on June 23, one of the leading conferences for High-Performance Computing in the world. In his talk, entitled "HiDALGO: HPC and Big Data Technologies for Global Challenges", he will present the most recent advances and results in our project. In particular, he will focus on the simulation of air pollution in urban environments; see attached image about the results of this simulation with respect to the city of Stuttgart.

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David Bell and Derek Groen, Navonil Mustafee, Jonathan Ozik, and Steffen Strassburger

Hybrid Simulation Development – Is It Just Analytics?

Christian V. Campos, Diana Suleimenova, Derek Groen

A Coupled Food Security and Refugee Movement Model for the South Sudan Conflict

Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, F. Javier Nieto De Santos, John Hanley, Milana Vuckovic, Mark Kroell, Bernhard Geiger, Robert Elsässer, Dennis Hoppe

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources

Derek Groen, David Bell, Hamid Arabnejad, Diana Suleimenova, Simon J. E. Taylor, Anastasia Anagnostou

Towards Modelling the Effect of Evolving Violence on Forced Migration