Because of their leading research in numerical simulation using parallel computing practices, the Fraunhofer Institute for Algorithms and Scientific Computing SCAI and the Institute for Numerical Simulation (INS) at the University of Bonn have officially become one of the first German NVIDIA CUDA Research Centers. The research on parallelization of existing simulation codes to run on machines with multiple graphics processing units (GPUs) is led by Prof. Dr. Michael Griebel, director of the INS and director of the Fraunhofer Institute SCAI.
"Our vision is to develop a massively parallel, completely multi-GPU based high performance molecular dynamics software package, as well as a massively parallel, completely multi-GPU based high performance fluid dynamics code," says Griebel. "Our customers from industry and research institutes will profit from our ability to solve general challenges of high-performance computing in this way."
Today, numerical simulations are indispensable in industrial production. Examples are the creation of new materials, the modeling of manufacturing process chains, and the simulation of material strength and fluid dynamics. However, these simulations require computing times from hours to days – even on high performance computers. This is why industry and science are very interested to shorten processing times.
Computing on multiple graphics cards promises an enormous acceleration of these simulations. NVIDIA’s CUDA parallel computing architecture, enables a dramatic increase in computing performance by harnessing the tremendous power of the GPU. Especially for software that is well suited for parallel computing, the graphics processor is faster than conventional CPUs by orders of magnitude. For example, the INS successfully ran the fluid solver package NaSt3DGPF on eight traditional processors coupled with eight graphics processors. Performing a benchmark study showed that the multiple GPU configuration was even slightly faster than a system using 256 conventional processors.
The researchers from INS and SCAI hope to gain similar effects from adapting the software package Tremolo-X for use on multiple graphics cards. Tremolo-X is used for the molecular dynamics of atoms or molecules. This software simulates materials at the nano scale, and therefore makes it possible to efficiently design new and innovative materials.
Computing on graphics cards not only promises an enormous acceleration of numerical simulations. The GPUs also require much less electricity, delivering a much higher performance per watt benefit. A particular computing task on a conventional parallel computer with 256 processors uses up to 70 kilowatts, compared to only 3 kilowatts on the machine with multiple GPUs. Furthermore, companies profit from GPU computing because the hardware is cheaper.
www.scai.fraunhofer.deAbout the Institute for Numerical Simulation:
Michael Krapp | Fraunhofer-Institut
Gecko adhesion technology moves closer to industrial uses
13.12.2017 | Georgia Institute of Technology
New silicon structure opens the gate to quantum computers
12.12.2017 | Princeton University
MPQ scientists achieve long storage times for photonic quantum bits which break the lower bound for direct teleportation in a global quantum network.
Concerning the development of quantum memories for the realization of global quantum networks, scientists of the Quantum Dynamics Division led by Professor...
Researchers have developed a water cloaking concept based on electromagnetic forces that could eliminate an object's wake, greatly reducing its drag while...
Tiny pores at a cell's entryway act as miniature bouncers, letting in some electrically charged atoms--ions--but blocking others. Operating as exquisitely sensitive filters, these "ion channels" play a critical role in biological functions such as muscle contraction and the firing of brain cells.
To rapidly transport the right ions through the cell membrane, the tiny channels rely on a complex interplay between the ions and surrounding molecules,...
The miniaturization of the current technology of storage media is hindered by fundamental limits of quantum mechanics. A new approach consists in using so-called spin-crossover molecules as the smallest possible storage unit. Similar to normal hard drives, these special molecules can save information via their magnetic state. A research team from Kiel University has now managed to successfully place a new class of spin-crossover molecules onto a surface and to improve the molecule’s storage capacity. The storage density of conventional hard drives could therefore theoretically be increased by more than one hundred fold. The study has been published in the scientific journal Nano Letters.
Over the past few years, the building blocks of storage media have gotten ever smaller. But further miniaturization of the current technology is hindered by...
With innovative experiments, researchers at the Helmholtz-Zentrums Geesthacht and the Technical University Hamburg unravel why tiny metallic structures are extremely strong
Light-weight and simultaneously strong – porous metallic nanomaterials promise interesting applications as, for instance, for future aeroplanes with enhanced...
11.12.2017 | Event News
08.12.2017 | Event News
07.12.2017 | Event News
13.12.2017 | Health and Medicine
13.12.2017 | Physics and Astronomy
13.12.2017 | Life Sciences