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 the Top 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.
Alison Kennedy, Coordinator of DECI said, “DEISA is delighted to be able to provide compute resources and applications enabling assistance to such a wide range of researchers in so many innovative projects. It’s very exciting to see the impact that DECI has in advancing scientific knowledge and competitiveness in Europe.”
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 optimization 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".
Million funding for Deep Learning project in Leipzig
15.08.2018 | Max-Planck-Institut für Mathematik in den Naturwissenschaften (MPIMIS)
Advanced Grant for Grain Boundary Phase Transformations
06.08.2018 | Max-Planck-Institut für Eisenforschung GmbH
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
Scientists have discovered that the electrical resistance of a copper-oxide compound depends on the magnetic field in a very unusual way -- a finding that could help direct the search for materials that can perfectly conduct electricity at room temperatur
What happens when really powerful magnets--capable of producing magnetic fields nearly two million times stronger than Earth's--are applied to materials that...
08.08.2018 | Event News
27.07.2018 | Event News
25.07.2018 | Event News
16.08.2018 | Life Sciences
16.08.2018 | Earth Sciences
16.08.2018 | Life Sciences