Computer scientist participate in PROCESS

13 September 2017

Adam Belloum, Rob Nieuwpoort added with a new position for a PhD student of the System Network Engineering group will work on PROviding Computing solutions for ExaScale Challenges (PROCESS) that will run from 2017 until 2021.The University of Amsterdam is one of the eight members of this project and will receive €366.000.

Objective

The PROCESS project has the objective to move the upcoming exascale data tools and technologies towards service-oriented computing and Cloud computing, while retaining their capacity to answer unprecedented data challenges and fulfil the requirements and constraints of existing simulation and computation packages.

The PROCESS approach is to define and develop reliable and scalable techniques for service composition to enable application with exascale data sets, including both the infrastructure and user point of view. This combination of bottom-up and top-down approach aims at narrowing the gap between infrastructure services while addressing specific requirements of the most demanding cases, paving the way to future to future high capacity generations e-infrastructure.

The (expected) results

PROCESS will deliver a comprehensive set of mature services prototypes and tools specially developed to enable  extreme scale data processing in both scientific research and advanced.

Summary

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.

Partners

PROviding Computing solutions for ExaScale Challenges (PROCESS) is a Horizon 2020 e-Infrastructure project that is approved with a total budget of €3.000.000. The partners are: Ludwig-Maximilians-Universität München (DE), Netherlands eScience Center (NL),  University of Amsterdam (NL), Haute Ecole Spécialisée de Suisse Occidentale (CH), Lufthansa Systems GmbH & Co. KG (DE), Inmark Europa SA (ES), Ústav informatiky, Slovenská Akadémia Vied (SK), Akademia Górniczo-Hutnicza im Stanisława Staszica Krakowie (PL).

Published by  IVI