The two newly installed high-performance mainframe computers at Johannes Gutenberg University Mainz and at the University of Kaiserslautern provide the German federal state of Rhineland-Palatinate a new national profile in high-performance computing.
Furthermore, as Minister Doris Ahnen added, the state not only financed the building of both supercomputers but has also focused on creating on a good technical basis and server structure. Thus, a large share of the funds from Germany's Economic Stimulus Package (Konjunkturprogramm II) was invested in information technology. Of the total €86 million, approximately €10.6 million alone went into IT equipment.
Both systems are available not only to researchers at the universities in Mainz and Kaiserslautern but are also integrated in the Alliance for High-Performance Computing Rhineland-Palatinate (AHRP). The AHRP bundles the computing capacity of the state to make it available for all universities and research facilities in Rhineland-Palatinate. It also offers courses (lectures, seminars, internships) and consulting for those using the high-performance computer. The start-up of the two new high-performance computers and the activities of the AHRP thus make an essential contribution to promoting all of the universities in Rhineland-Palatinate and improving their international competitiveness.
The new cluster offers scientists at Johannes Gutenberg University Mainz the opportunity to use high-performance computers with state-of-the-art technology. "Many scientific disciplines now use high-performance computers to form models for complex systems. Numeric simulations are thus developing into a third pillar of scientific research along with the classic pillars of theory and experiment," explains the President of Johannes Gutenberg University Mainz, Professor Dr. Georg Krausch. "Since the complexity of interconnections in fields such as meteorology, genome research, or the interaction of individual molecules cannot always be depicted in the design of experiments, modern scientific research is increasingly using simulations. And this is no different at our university. The further advancement of this area is one of the core aims of our JGU Research Unit Computational Sciences in Mainz. Therefore, we are thrilled to have the high-performance cluster as support for our research unit on the one hand, and, on the other hand, the high-performance computer will also help maintain the outstanding positions of our working groups in the natural sciences at the forefront of their research and further expand those positions."
"High-performance computing has long been an important building block for research in physics, chemistry, biology, and mechanical engineering at the University of Kaiserslautern," says its President, Professor Dr. Helmut J. Schmidt. "Disciplines such as the social sciences, economics, and computer science are also using more and more high-performance computing for the simulation of complex and highly parallel systems and to better understand the base correlations in them. With the new high-performance computer in Kaiserslautern, our researchers here now have the right tool to advance their research. The utilization of such systems stands and falls with a suitable support structure, which the University of Kaiserslautern with its corresponding course and seminar offerings already has in place."
Users of the AHRP in Rhineland-Palatinate will benefit from the fastest connection between two German universities at speeds of 120 GBit/s. Researchers can select which of the two high-performance computers is most suitable for their purposes and have the simulation data exchanged immediately. Simply because it would be impossible to send the quantity of data produced over the public Internet, a close connection of the data processing computer centers is required.
The high-performance cluster at the Center of Data Processing at Johannes Gutenberg University Mainz can carry out 287,000 billion computations per second. "The mainframe computer uses a mere 14 cabinets, making it very compact for its capacity. To build a comparable computer from PCs would require 5,000 individual computers and take up twenty times as much space," explains Professor Dr. André Brinkmann, head of the Center of Data Processing at JGU. The advancements in computer technology, along with those in cooling technology, make it possible for the new cluster to work at a full capacity of 480 kW with twice the energy efficiency of previous clusters. The name of the cluster is "Mogon" – from the Roman name Mogontiacum, the Latin name for the city of Mainz.
The new high-performance cluster will mainly be used by institutes and working groups from the field of physics, but also researchers in mathematics, biology, medicine, and the geosciences increasingly take advantage of the opportunities afforded by the high-performance computer. At JGU, complicated questions for computer technology also come from the discipline of molecular genetics. In order to decode the genetic information of living organisms as completely as possible using next-generation sequencing of DNA molecules, genome researchers need enormous quantities of computing and storage capacity. Questions from biomedicine and biology examined using the computer come from research in oncology and evolution.
Each and every tumor has a unique genetic makeup. For patient-specific cancer therapy, it is vital to understand which genes specify a tumor and whether these genes can be made use of in therapy. Understanding the consequences of climate change can be fundamentally improved if we better understand how important parts of the food chain, such as insect larvae living in water, react to changes in temperature as the climate fluctuates. The simultaneous determination of the activities of all genes through mass sequencing helps provide information in this area. With the help of Illumina sequencing equipment, molecular genetics can encode several billion base pairs of multiple human genomes in two weeks. In doing so, each genome requires a terabyte of storage. Due to the prevailing technical conditions, each genome, i.e., the total of genetic information, has to be sequenced into sequence snippets of 100 building blocks (base pairs). Using these billions of snippets, scientists then use bioinformatics to reconstruct the entire DNA sequence of chromosomes. All this uses massive amounts of hard disk memory and requires more than 512 GB RAM per computer.
The high-performance computer at the University of Kaiserslautern is run by the Regional University Computing Center Kaiserslautern. "A separate room with a modern water cooling system and a separate power supply was created for the new cluster," explains Professor Dr. Paul Müller, head of the Computing Center. "The first expansion stage of the cluster is to be installed in seven cabinets and the room has still enough space for the second expansion phase planned for 2013. In addition to the performance of the cluster, the project also focused considerably on energy efficiency and the efficient use of space." The Kaiserslautern cluster was named "Elwetritsch" as homage to a mythical creature of southwest Germany.
High-performance computing at the University of Kaiserslautern is used mainly by engineering and natural sciences working groups and institutes. Mechanical engineering researchers use it to perform flow simulations, simulation of the settlement characteristics of bulk solids, and thermodynamic calculations. In physics, thousands of differential equations need to be solved quickly to simulate, for example, the behavior of ferromagnets subjected to short-term laser impulses. Chemists at the University of Kaiserslautern use it, for example, to investigate how to avoid chemical waste products in synthesizing processes or to carry out calculations to better understand the electronic structure of atoms and molecules. In biology, high-performance computing is important for gene sequence analyses or for phylogenetics, which deals with the development and relationship between living beings. To meet these diverse challenges, the high-performance computer in Kaiserslautern is equipped with various hardware components that offer the optimum environment for each respective area of application.
Petra Giegerich | idw
Further reports about: > AHRP > DNA > DNA molecule > German language > High-Performance > Pervasive Computing > Rhineland-Palatinate > building block > computer technology > energy efficiency > genetic information > high-performance computers > high-performance computing > human genome > living organism > molecular genetic > natural science > scientific research > social science
Accelerating quantum technologies with materials processing at the atomic scale
15.05.2019 | University of Oxford
A step towards probabilistic computing
15.05.2019 | University of Konstanz
Engineers at the University of Tokyo continually pioneer new ways to improve battery technology. Professor Atsuo Yamada and his team recently developed a...
With a quantum coprocessor in the cloud, physicists from Innsbruck, Austria, open the door to the simulation of previously unsolvable problems in chemistry, materials research or high-energy physics. The research groups led by Rainer Blatt and Peter Zoller report in the journal Nature how they simulated particle physics phenomena on 20 quantum bits and how the quantum simulator self-verified the result for the first time.
Many scientists are currently working on investigating how quantum advantage can be exploited on hardware already available today. Three years ago, physicists...
'Quantum technologies' utilise the unique phenomena of quantum superposition and entanglement to encode and process information, with potentially profound benefits to a wide range of information technologies from communications to sensing and computing.
However a major challenge in developing these technologies is that the quantum phenomena are very fragile, and only a handful of physical systems have been...
Working group led by physicist Professor Ulrich Nowak at the University of Konstanz, in collaboration with a team of physicists from Johannes Gutenberg University Mainz, demonstrates how skyrmions can be used for the computer concepts of the future
When it comes to performing a calculation destined to arrive at an exact result, humans are hopelessly inferior to the computer. In other areas, humans are...
Scientists develop a molecular recording tool that enables in vivo lineage tracing of embryonic cells
The beginning of new life starts with a fascinating process: A single cell gives rise to progenitor cells that eventually differentiate into the three germ...
29.04.2019 | Event News
17.04.2019 | Event News
15.04.2019 | Event News
21.05.2019 | Physics and Astronomy
21.05.2019 | Earth Sciences
21.05.2019 | Life Sciences