Sentences with word «exascale»

Advanced Scientific Computing Research avoided House - proposed cuts, and the Administration received most (though not all) of what it requested for exascale computing.

This is the universe Salman Habib is trying to reconstruct, structure by structure, using precise observations from telescope surveys combined with next - generation data analysis and simulation techniques currently being primed for exascale computing.

But he noted several challenges, including the whopping energy consumption of exascale computers and the massive amount of data they generate.

The PPPL - led code was one of only three codes out of more than 30 science and engineering programs selected to participate in Early Science programs on all three new supercomputers, which will serve as forerunners for even more powerful exascale machines that are to begin operating in the United States in the early 2020s.

To tackle these complicated and consequential precision medicine problems, researchers globally are looking toward the promise of exascale computing.

The biggest concern: that the Accelerated Climate Modeling for Energy (ACME) project, meant to forecast local impacts of climate change and to be used on DOE's future exascale supercomputers, would dilute resources from the Community Earth System Model (CESM).

The ECP is readying science codes for exascale systems, the new workhorses of computational and big data science.

The U.S. Department of Energy established in 2016 the Exascale Computing Project (ECP)-- a joint project of the DOE Office of Science (DOE - SC) and the DOE National Nuclear Security Administration (NNSA)-- that will result in a capable exascale ecosystem and prepare mission critical scientific and engineering applications to take advantage of that ecosystem.

Their next step is to continue to rework HipMCL and other computational biology tools for future exascale systems, which will be able to compute quintillion calculations per second.

WIND MASTER — Todd Griffith shows a cross-section of a 50 - meter blade, which is part of the pathway to the 200 - meter exascale turbines being planned under a DOE ARPA - E-funded program.

Reaching exascale is expected to be far more difficult than simply wiring additional computer processors together (as Science reported in this 2012 feature).

Supercomputer scientists who were watching the release of the Obama Administration's budget closely to see if contained new pots of money for exascale science came away both pleased and disappointed.

The work produced under the ECP will serve several purposes, benefitting both the future of cosmological modeling and the development of successful exascale platforms.

As collaborators in DOE's Exascale Computing Project, Argonne scientists are helping to solve the challenges of developing exascale computers.

Q: You've asked DOE for a plan on exascale computing, which has been delayed.

DOE, which heads U.S. supercomputing efforts, has said it doesn't expect to build its first exascale supercomputer until 2023 at the earliest, a target that has already slipped several years.

McCallen notes that simulations of high frequency earthquakes are more computationally demanding and will require exascale computers.

John Shalf, Berkeley Lab researcher and NERSC's Chief Technology Officer, is leading an effort to achieve exascale performance.

His DOE Early Career project is looking at applying statistical and machine learning techniques to exascale performance modeling.

04/17/18 Lawrence Berkeley National Laboratory's David McCallen, a researcher from the Exascale Computing Project, on April 17 spoke at the 69th HPC User Forum in Tucson, Arizona, about exascale simulations for regional - scale earthquake hazard and risk.

• Nyriad Limited, a New Zealand - based exascale computing company, raised $ 8.5 million in Series A funding.

Expresses concerns about DOE's quest to build a world - leading exascale computer.

Unique among codes used in other exascale computing projects, it can run on all current and prototype architectures, from the basic X86 chip used in most home PCs, to graphics processing units, to the newest Knights Landing chip found in Theta, the ALCF's latest supercomputing system.

In December 2011, Congress settled on giving exascale computing $ 90 million, via the Department of Energy, for the 2012 budget.

As exascale becomes prevalent, these simulations will produce 10 to 100 times as much data.

The work that the ExaSky team is doing, along with that of the other ECP research teams, will help address these challenges and those faced by computer manufacturers and software developers as they create coherent, functional exascale platforms to meet the needs of large - scale science.

The only way to ultimately achieve these simulations is to exploit exascale computing, McCallen says.

Such exascale machines should dramatically speed up a host of scientific and industrial computing tasks, such as modeling climate change and the activity of the human brain, searching for new high - performance materials, and designing energy - efficient car engines.

With emerging exascale supercomputers, researchers will soon be able to accurately simulate the ground motions of regional earthquakes quickly and in unprecedented detail, as well as predict how these movements will impact energy infrastructure — from the electric grid to local power plants — and scientific research facilities.

Furthermore, because deep learning requires less mathematical precision than other types of scientific computing, Summit could potentially deliver exascale - level performance for deep learning problems — the equivalent of a billion billion calculations per second.

This increase would support efforts by DOE's National Nuclear Security Administration, which manages the nuclear weapons stockpile, and the Office of Science to develop fast, cutting - edge exascale computers, paving the way for advanced climate modeling and biomedical applications.

April 9, 2018 - Secretary of Energy Rick Perry today announced the release of a Request for Proposals (RFP) for the development of at least two new exascale supercomputers, including Lawrence Livermore National Laboratory's next - generation system code - named «El Capitan.»

Development of HipMCL was primarily supported by the U.S. Department of Energy's Office of Science via the Exascale Solutions for Microbiome Analysis (ExaBiome) project, which is developing exascale algorithms and software to address current limitations in metagenomics research.

Selection of the PPPL code could help ready it for exascale development.

CANDLE is one of three unique Argonne National Laboratory programs funded by the DOE's Exascale Computing Project (ECP), launched in 2015 to promote the design and integration of application, software and hardware technologies into exascale systems.

Through the ADSP, Gursoy and Kasthuri are developing a series of large - scale data and computational steps — a pipeline — that integrates exascale computational approaches into an entirely new set of tools for brain research.

These bendable, exascale wind turbines are built to withstand the stress with a hinge at the turbine hub that allows the blades to align themselves with the wind direction when necessary.

Researchers think that Titan's combination of both CPUs and GPUs could be the first step toward exascale computing, or the ability to generate 1,000 quadrillion calculations per second using 20 megawatts of electricity or less.

Over a planned 10 - year span, the project aim is to conduct simulations and modeling on the most sophisticated HPC machines as they become available, i.e., 100 - plus petaflop machines and eventually exascale supercomputers.

Initiated to drive the development of an «exascale ecosystem» of cutting - edge, high - performance architectures, codes and frameworks, the ECP will allow researchers to tackle data and computationally intensive challenges such as the ExaSky simulations of the known universe.

So if China's researchers are the first to come up with the technology breakthroughs needed to reach exascale, the feat could supercharge their consumer electronics industry and spell danger for other electronics giants around the globe.

For the next fiscal year, the Administration today requested only $ 68 million in DOE funding for exascale science, which includes everything from hardware development, novel mathematical methods, and scientific applications, such as climate modeling software programs.

Funded by the National Nuclear Security Administration's (NNSA) Advanced Simulation and Computing (ASC) program, El Capitan will be NNSA's first exascale supercomputer, capable of at least a quintillion calculations per second, about 50 to 100 times greater performance than the current fastest U.S. supercomputers.

With future exascale systems, the researchers hope to run the same model at 5 - 10 hertz resolution in approximately five hours or less.

Exascale computing — At the appropriations panel hearing, Representative Mike Honda (D — CA), whose district is located in Silicon Valley, asked about DOE's efforts to achieve exascale computing — computers that can perform a billion billion calculations per second — calling it the «next technological leap.»

Speeding up our simulations on exascale systems will allow us to do that.»

«ACME version 2 should make much more use of the GPUs to increase simulation performance, and there are other projects that are spin - off efforts using ACME that are targeting Summit [the OLCF's next leadership - class machine] and future exascale platforms,» Norman said.

Scientists from Juelich also have a leading role here: the Juelich Supercomputing Centre (JSC) is developing exascale computers to perform the complex simulations in the Human Brain Project.

This work is part of the DOE's Exascale Computing Project (ECP), which aims to maximize the benefits of exascale — future supercomputers that will be 50 times faster than our nation's most powerful system today — for U.S. economic competitiveness, national security and scientific discovery.

Model is tailored for exascale computers and designed to forecast impacts on energy infrastructure