Sentences with phrase «exascale computers»

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

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

It is considered a key component in enabling the next generation of supercomputers — exascale computers, which are 1,000 times faster than the mainframes of today.

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

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.

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

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.

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

The United States is now committed to building an exascale computer, some 30 times more powerful than today's top machine.

Not exact matches

And those countries, along with the European Union, Russia, and India have all underscored their desire to be first to the exascale, in hopes of giving their homegrown computer industries a leg up on the competition.

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

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.»

While the computational solutions for these training problems alone will require the largest available high - performance computers, Stevens and his team believe that the resulting models are likely to require exascale or near - exascale systems to advance each of the cancer problem areas.