Creatingknowledge Annual Report 2012 | Forschungszentrum Jülich 37 Chemist Prof. Paul Kögerler prevailed in the competition between the cream of young research talents in Europe. to the tune of € 4.3 million for the six collaborative projects. MOLSPINTRON – Molecular magnets for next-generation computers | Chemist Prof. Paul Kögerler received a Starting Grant from the European Research Council (ERC) in 2012. With the project ‘Synthetic Expansion of Magnetic Molecules Into Spintronic Devices’ (MOLSPINTRON), the Jülich scientist successfully held his own in the competition between the best young research talents in Europe. He will re- ceive around € 1.5 million in funding for his research over a period of five years. The molecular magnets Kögerler is working on may one day revolutionize microelectronics. The concept is based on the joint use of magnetic and electronic quantum states of individual magnetic molecules. Kögerler is pursu- ing this goal in close cooperation with groups at the Peter Grünberg Institute and RWTH Aachen University as part of the Jülich Aachen Research Alliance. The research field of key technologies was the area with the most significant third-party funding in 2012. Exemplary projects funded by third parties in information technology DEEP – Parallel computing with mil- lions of processors | The EU project DEEP (Dynamical Exascale Entry Plat- form) is developing a new prototype for supercomputers of the next generation. The project partners are testing a special, energy-efficient computer architecture that could serve as a model for future exascale computers. With a quintillion arithmetic operations per second, such an exaflop/s computer would be about a thousand times faster than today’s supercomputers. Experts from the Jülich Supercomputing Centre (JSC) are coordinating the project involving 16 partners from 8 countries. The project was launched in December 2011 and will receive funding of more than € 18 million over a period of three years, including € 8 million from the EU’s Seventh Framework Programme for Research. NVIDIA Application Lab – Cooperation for brain research and more | In June 2012, Forschungszentrum Jülich and the international US company NVIDIA announced the establishment of the NVIDIA Application Lab. In this way, Forschungszentrum strengthens cooperation with companies working on the development of technologies for exascale computers. The partners want to considerably accelerate scientific simulations, particularly in the area of neuroscience, using graphics processing units (GPUs). Applications from other areas, such as astrophysics, particle physics, materials science, and bio- sciences will also be optimized for supercomputers with graphics proces- sors. If all processing units are used efficiently, it will also be possible to save a significant amount of energy. BaSiGo – New safety concepts for large-scale events | The project BaSi- Go aims to improve our understanding of the behaviour of large crowds of people at public events. For this pur- pose, Forschungszentrum Jülich is carrying out laboratory experiments as well as simulations of the movements of individuals at large-scale events. Its goal is to develop a computer-assisted planning tool for organizers, local authorities, and law enforcement ser- vices. The project is coordinated by the University of Wuppertal and is one of six similar projects in the Research for Civil Security programme. This priority pro- gramme is being funded with a total of some € 20.2 million by the Federal Ministry of Education and Research. Industry is also making available funding Third-party funding for Jülich key technologies (thousands of euros) 2009* 85,324 2010 16,192 2011 26,125 2012 31,272 (incl. biotechnology) Walter Mundt-Blum (front left), vice president of NVIDIA’s Professional Solution Group in Europe, and Prof. Thomas Lippert (front right), director at the Jülich Supercomputing Centre (JSC), sign the cooperation agreement. * In 2009, national project funding was significantly higher because it included funds for the installation of a petaflop computer.