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PROCESS

Providing computing solutions for exascale challenges

The PROCESS demonstrators will pave the way towards exascale data services that will accelerate innovation and maximise the benefits of these emerging data solutions. The main tangible outputs of PROCESS are five very large data service prototypes, implemented using a mature, modular, generalizable open source solution for user friendly exascale data. The services will be thoroughly validated in real-world settings, both in scientific research and in industry pilot deployments.

To achieve these ambitious objectives, the project consortium brings together the key players in the new data-driven ecosystem: top-level HPC and big data centres, communities – such as Square Kilometre Array (SKA) project – with unique data challenges that the current solutions are unable to meet and experienced e-Infrastructure solution providers with an extensive track record of rapid application development.

In addition to providing the service prototypes that can cope with very large data, PROCESS addresses the work programme goals by using the tools and services with heterogeneous use cases, including medical informatics, airline revenue management and open data for global disaster risk reduction. This diversity of user communities ensures that in addition to supporting communities that push the envelope, the solutions will also ease the learning curve for broadest possible range of user communities. In addition, the chosen open source strategy maximises the potential for uptake and reuse, together with mature software engineering practices that minimise the efforts needed to set up and maintain services based on the PROCESS software releases.

Project website: http://www.process-project.eu/

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 777533.

Participating organisations

AGH University of Science and Technology
HES.SO University of Applied Sciences and Arts
INMARK
Natural Sciences & Engineering
Natural Sciences & Engineering
Ludwig Maximilian University of Munich
Lufthansa Systems
Netherlands eScience Center
PROCESS
University of Amsterdam
Ustav Informatiky

Impact

Output

Team

Ben van Werkhoven
Ben van Werkhoven
Senior eScience Research Engineer
Netherlands eScience Center
DK
Dieter Kranzlmüller
Principal investigator
Ludwig Maximilian University of Munich
Hanno Spreeuw
Hanno Spreeuw
eScience Research Engineer
Netherlands eScience Center
SM
Souley Madougou
eScience Research Engineer
Netherlands eScience Center
Stijn Heldens
Stijn Heldens
PhD student
Netherlands eScience Center

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