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The DEEP Projects

The Dynamical Exascale Entry Platform project series: DEEP, DEEP-ER, DEEP-EST

How does one cover the needs of both HPC (high performance computing) and HPDA (high performance data analytics) applications? Which hardware and software technologies are needed? How should these technologies be combined so that very different kinds of applications are able to efficiently exploit them? And how can we – on the way – tackle some of the challenges posed by next-gen supercomputers of the Exascale class, like energy efficiency? These are the questions the EU-funded project DEEP-EST addresses with it’s Modular Supercomputing architecture.

Creating a modular supercomputer that best fits the requirements of the diverse, increasingly complex, and newly emerging applications is the aim of DEEP-EST. The third member of the DEEP Projects family builds upon the results of its predecessors DEEP and DEEP-ER, which ran from December 2011 to March 2017. An aim uniting all three projects from the beginning: We want to develop a new breed of flexible, heterogeneous HPS systems supporting a broad portfolio of HPC and HPDA applications with highest efficiency and scalability.


Forschungszentrum Jülich GmbH, Germany
Project Coordinator
The contact person is Estela Suarez

and 25 further organisations.

DEEP / DEEP-ER were funded by the European Union’s FP7-ICT under Grant Agreement 287530 / 610476.

DEEP-EST is funded by the European Union’s Horizon 2020 Research and Innovation action under Grant Agreement 754304.

The project series runs from December 2011 to March 2021.


More detailed information about the project is available at the project's homepage.