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.

1st Flee Workshop held in Adama, Ethiopia

We held the 1st Flee Workshop at the Adama Science and Technology University in Adama, Ethiopia on 16-18th of July 2019. The workshop had approximately 25 participants, and was largely funded through the Gesellschaft Internationale Zusammenarbeit (GIZ) and HESC, the authority for Higher Education in Ethiopia.

HiDALGO Plenary Meeting

The HiDALGO plenary meeting took place on May 27-28 at HLRS in Stuttgart. The project partners had ample discussions about the current progress of the project and the future work. It was a very productive meeting with a series of talks resulting in several new ideas.


Martin Maritsch and Kevin Winter (Area Knowledge Discovery) participated in a Student Challenge organized by the HiPEAC (European Network on High Performance and Embedded Architecture and Compilation) consortium. On the topic 'AI for Humanity', they submitted their work with the title 'Mining Call Detail Records to understand Cross-border Refugee Movements', which was accepted by the jury for presentation at the Computing Systems Week Spring 2019 in Edinburgh.

BARCELONA'S PATC Course coming May 20-21

Registration for PATC: Performance Analysis and Tools (PRACE Training) is open. This course focuses on how Paraver and Dimemas tools can be used to analyze the performance of parallel applications as well as instrumenting applications with Extrae. More Info here!