Titan will be 10 times more powerful than ORNL’s last world-leading system, Jaguar, while overcoming power and space limitations inherent in the previous generation of high-performance computers.
Oak Ridge National Laboratory is home to Titan, the world’s most powerful supercomputer for open science with a theoretical peak performance exceeding 20 petaflops (quadrillion calculations per second). That kind of computational capability—almost unimaginable—is on par with each of the world’s 7 billion people being able to carry out 3 million calculations per second.
Titan, which is supported by the Department of Energy, will provide unprecedented computing power for research in energy, climate change, efficient engines, materials and other disciplines and pave the way for a wide range of achievements in science and technology.
The Cray XK7 system contains 18,688 nodes, with each holding a 16-core AMD Opteron 6274 processor and an NVIDIA Tesla K20 graphics processing unit (GPU) accelerator. Titan also has more than 700 terabytes of memory. The combination of central processing units, the traditional foundation of high-performance computers, and more recent GPUs will allow Titan to occupy the same space as its Jaguar predecessor while using only marginally more electricity.
“One challenge in supercomputers today is power consumption,” said Jeff Nichols, associate laboratory director for computing and computational sciences. “Combining GPUs and CPUs in a single system requires less power than CPUs alone and is a responsible move toward lowering our carbon footprint. Titan will provide unprecedented computing power for research in energy, climate change, materials and other disciplines to enable scientific leadership.”
Because they handle hundreds of calculations simultaneously, GPUs can go through many more than CPUs in a given time. By relying on its 299,008 CPU cores to guide simulations and allowing its new NVIDIA GPUs to do the heavy lifting, Titan will enable researchers to run scientific calculations with greater speed and accuracy.
“Titan will allow scientists to simulate physical systems more realistically and in far greater detail,” said James Hack, director of ORNL’s National Center for Computational Sciences. “The improvements in simulation fidelity will accelerate progress in a wide range of research areas such as alternative energy and energy efficiency, the identification and development of novel and useful materials and the opportunity for more advanced climate projections.”
Titan will be open to select projects while ORNL and Cray work through the process for final system acceptance. The lion’s share of access to Titan in the coming year will come from the Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment program, better known as INCITE.
Researchers have been preparing for Titan and its hybrid architecture for the past two years, with many ready to make the most of the system on day one. Among the flagship scientific applications on Titan:Materials Science
“The order-of-magnitude increase in computational power available with Titan will allow us to investigate even more realistic models with better accuracy,” noted ORNL researcher and WL-LSMS developer Markus Eisenbach.Combustion
Titan will allow researchers to model large-molecule hydrocarbon fuels such as the gasoline surrogate isooctane; commercially important oxygenated alcohols such as ethanol and butanol; and biofuel surrogates that blend methyl butanoate, methyl decanoate and n-heptane.
“In particular, these simulations will enable us to understand the complexities associated with strong coupling between fuel chemistry and turbulence at low preignition temperatures,” noted team member Jacqueline Chen of Sandia National Laboratories. “These complexities pose challenges, but also opportunities, as the strong sensitivities to both the fuel chemistry and to the fluid flows provide multiple control options which may lead to the design of a high-efficiency, low-emission, optimally combined engine-fuel system.”Nuclear Energy
Using a grid of 14-kilometer cells, the new system will be able to simulate from one to five years per day of computing time, up from the three months or so that Jaguar was able to churn through in a day.
“As scientists are asked to answer not only whether the climate is changing but where and how, the workload for global climate models must grow dramatically,” noted CAM-SE team member Kate Evans of ORNL. “Titan will help us address the complexity that will be required in such models.”
ORNL is managed by UT-Battelle for the Department of Energy. The Department of Energy is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit http://science.energy.gov.
For Titan images and videos, please visit http://www.olcf.ornl.gov/titan/.NOTE TO EDITORS: You may read other press releases from Oak Ridge National Laboratory or learn more about the lab at http://www.ornl.gov/news. Additional information about ORNL is available at the sites below:
Ron Walli | Newswise Science News
Intelligent maps will help robots navigate in your home
19.06.2018 | Schwedischer Forschungsrat - The Swedish Research Council
Football through the eyes of a computer
14.06.2018 | Universität Konstanz
Scientists from the University of Freiburg and the University of Basel identified a master regulator for bone regeneration. Prasad Shastri, Professor of...
Moving into its fourth decade, AchemAsia is setting out for new horizons: The International Expo and Innovation Forum for Sustainable Chemical Production will take place from 21-23 May 2019 in Shanghai, China. With an updated event profile, the eleventh edition focusses on topics that are especially relevant for the Chinese process industry, putting a strong emphasis on sustainability and innovation.
Founded in 1989 as a spin-off of ACHEMA to cater to the needs of China’s then developing industry, AchemAsia has since grown into a platform where the latest...
The BMBF-funded OWICELLS project was successfully completed with a final presentation at the BMW plant in Munich. The presentation demonstrated a Li-Fi communication with a mobile robot, while the robot carried out usual production processes (welding, moving and testing parts) in a 5x5m² production cell. The robust, optical wireless transmission is based on spatial diversity; in other words, data is sent and received simultaneously by several LEDs and several photodiodes. The system can transmit data at more than 100 Mbit/s and five milliseconds latency.
Modern production technologies in the automobile industry must become more flexible in order to fulfil individual customer requirements.
An international team of scientists has discovered a new way to transfer image information through multimodal fibers with almost no distortion - even if the fiber is bent. The results of the study, to which scientist from the Leibniz-Institute of Photonic Technology Jena (Leibniz IPHT) contributed, were published on 6thJune in the highly-cited journal Physical Review Letters.
Endoscopes allow doctors to see into a patient’s body like through a keyhole. Typically, the images are transmitted via a bundle of several hundreds of optical...
Light detection and control lies at the heart of many modern device applications, such as smartphone cameras. Using graphene as a light-sensitive material for...
13.06.2018 | Event News
08.06.2018 | Event News
05.06.2018 | Event News
19.06.2018 | Physics and Astronomy
19.06.2018 | Life Sciences
19.06.2018 | Physics and Astronomy