This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 671698.

ExaHyPE is over - long live ExaHyPE!

The ExaHyPE project has been funded by the European Commission from 2015 until 2019. While the ExaHyPE Horizon 2020 project is over, the ExaHyPE software development continues -  see our section on the "ExaHyPE engine". We keep this website as an archive of the project achievements.


Exascale High Performance Computing

Computer-based simulations drive scientific progress. In addition to theory and experiments, simulations have long since been crucial for acquiring knowledge and insight. Supercomputers continue to allow the computation of increasingly complex and precise models. However, programming such supercomputers is a key challenge.

The ExaHyPE project seeks to address the software aspect of supercomputer development. The project integrates well into Europe‘s strategy for developing a supercomputer that is capable of performing a billion billion (1018) computer operations per second (1 exaflop/s) by 2020. In order to leverage this incredible processing power for correspondingly comprehensive simulations, the entire supercomputing infrastructure – including system software and simulation applications – must be prepared for such exascale systems.

ExaHyPE focuses on the development of new mathematical and algorithmic approaches to exascale systems – initially for simulations in geophysics and astrophysics. During this four-year project, researchers from seven institutions in Germany, Italy, United Kingdom, and Russia will develop novel software for performing simulations on exascale supercomputers. In October of 2015, the European Union began support of the ExaHyPE project with EUR 2.8 million.


Energy efficiency of supercomputing hardware

Today, a supercomputer capable of performing 1 exafl op/s could be built, but its energy requirements would be prohibitive. ExaHyPE’s new simulation software will be designed for energy efficiency and the requirements of future energy-efficient hardware.

Scalable algorithms – dynamically adaptive

ExaHyPE will develop new mathematical algorithms that can take full advantage of the smallest possible amount of memory. Therefore, the resolution of a simulation – the number of used data points – will be dynamically increased wherever the simulation needs. In this way, the necessary computer operations can be kept to a minimum while simultaneously achieving the greatest possible accuracy.

Fast computer operations in spite of slow memory

In ten years, supercomputers will be able to operate 1000 times faster than today. However, in the same period, memory access capacity may only increase by 50 times. It is necessary to completely rewrite simulation programmes in order to ensure that future supercomputers can cope with this discrepancy. The algorithms that will be used in ExaHyPE will be inherently memory-efficient and reduce the communication during parallel processing.

Extreme parallelism even with unreliable hardware

By 2020, supercomputers will hold hundreds of millions processor cores. To maximize efficiency, we must develop new programmes to run on such computers. ExaHyPE will examine the dynamic distribution of computer operations to millions of processor cores – even if some of these fail while performing calculations.


Simulation of risk scenarios

Earthquakes cannot be predicted. However, we might be able to assess the risk of aftershocks following a large earthquake by using simulations. Regional earthquake simulations are one of the two application scenarios envisioned for ExaHyPE. Such simulations promise to provide a fundamentally better understanding of what takes place during large-scale earthquakes and the aftershocks, and will help to quantify seismic hazards more accurately.

Fundamental scientific findings

ExaHyPE will simulate systems of orbiting neutron stars that are merging. The recent detection of gravitational waves from merging neutron stars heralds a new era of multi-messenger astronomy and has provided a wealth of information such as confirming long held beliefs that “gamma ray explosions” - the most powerful known catastrophic scenarios of the universe - originate from merging neutron stars. Exascale simulations of such processes will allow us to study these mergers in extraordinary detail and gain new insights." .

Free software for flexible scenarios

Although these two simulation scenarios may be quite different, they are framed by very similar mathematical equations (hyperbolic differential equations), which represent conservation equations for mass, momentum, and energy. ExaHyPE is developing flexible software for such models, which will be free for use by science and industry as open-source software.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 671698.