Forty-two scientific projects have been awarded supercomputing resources through DEISA, the EU's infrastructure of supercomputing systems.
The awards, totaling more than 49 million processor hours, collectively comprise the largest amount of supercomputing resources ever allocated at a pan-European project call.
These DEISA Extreme Computing (DECI) projects will each have access to resources at one or more of the 11 DEISA partner sites, including 12 of theTop 100 most powerful supercomputers in the world. Through DECI, now in its fourth year, scientists are tackling a wide range of scientific challenges.
Successful projects are chosen for their potential to achieve ground-breaking scientific results through the use of supercomputers, enabling them to run more detailed and accurate simulations of scientific problems than was previously possible. Multi-national proposals are especially encouraged and the latest projects to be supported include collaborations involving scientists from three continents, although the vast majority of the participants are based in Europe. Staff from DEISA will work closely with the researchers, providing applications support to enable and deploy the codes on the most appropriate architecture.
Professor Gernot Muenster, the principal investigator of the Nf1 DECI project to study fundamental issues in quantum field theory, said: 'In order to attain the goals of our project and to arrive at conclusive results, we need computational resources which exceed our previous approvals. Thanks to DEISA, we will be able to perform simulations in sufficiently large lattice volumes and sufficiently small lattice spacings to obtain relevant results. Also, the support of our calculations by DEISA staff members, concerning implementation and optimisation of our program codes, is of very high value for our project.'
Professor Simon Portegies Zwart, the principal investigator of the Gravitational Billion Body Problem (GBBP) DECI project related to cosmological studies on Cold Dark Matter, said: 'Thanks to the available compute resources and the excellent network facilities of DEISA we can now make a breakthrough in computational science, especially in our understanding of the dark matter distribution in the universe.'
