But it will combine next-next-gen AMD "Genoa" processors with AMD graphics chips that also are good for mathematical calculations.ĪMD accelerated its product plans to meet the El Capitan deadline, said Chief Executive Lisa Su. The allies behind the machine wouldn't reveal how many processors it'll use. It'll need 30 megawatts of power - about the same consumption as 12,000 homes, according to federal energy consumption rates. If you stacked up its system boards end to end, you'd get a tower three times taller than the real El Capitan cliff in Yosemite National Park. El Capitan supercomputer nuts and boltsĮl Capitan will take up about two tennis courts' worth of space in a Livermore data center and weigh as much as 35 school buses. It could also be helpful in choosing which variations of a simulation to try, zeroing in faster on what's important, Goldstein said. For nuclear weapons, it can be used for tasks like spotting unusual phenomena in a simulation that merit closer attention. "The ability to combine machine learning and simulation is going to be a game changer for our ability to rapidly and accurately come up with predictions."ĪI today is used for detecting patterns like fraudulent credit card transactions and interpreting complex data like medical scans or voice commands. "The unique architecture of El Capitan will allow us to further advance new work that we're doing to combine machine learning with the traditional modeling and simulation that has undergirded our stockpile work," Goldstein said. El Capitan will be used for some of these nonmilitary tasks, too. Supercomputers are also in demand for health and genetics research, astrophysical modeling, aircraft and automotive design, climate change simulations and, more recently, new artificial intelligence algorithms. Lawrence Livermore National Laboratory Director Bill Goldstein describes El Capitan, a supercomputer built by Hewlett Packard Enterprise and AMD expected to be the world's fastest when it starts operations in 2023. "The range of scales is tremendous that we have to represent," Goldstein said. And the lab runs different simulations over and over. They take steps lasting billionths of a second through an event that lasts for seconds. Simulations must accommodate detail down to billionths of a meter for devices measuring meters in length. The nuclear weapons simulations it'll perform are extraordinarily complex, modeling matter and energy shifting through temperatures ranging from room temperature to the center of the sun. The DOE has been funding such supercomputers since the 1990s, embracing them as the US ceased real-world nuclear tests. In the case of El Capitan, that means full 3D simulations of nuclear weapons explosions that the US Department of Energy demands to ensure that its aging stockpile of thermonuclear weapons will work as advertised, not fizzle or pose unexpected safety risks. They occupy rooms the size of tennis courts, uses thousands or millions of processors, cost millions of dollars and consume enough electricity to power a town.īut they can tackle computing challenges out of reach of lesser machines. Supercomputers are mammoth systems assembled from hundreds or thousands of computers linked with high-speed interconnects to shuttle data and coordinate operations. He spoke at a press conference at HPE offices in San Jose, California, in the heart of Silicon Valley, at which HPE, AMD and LLNL announced their El Capitan ambitions along with design details. "We expect when it's delivered to the laboratory in 2023, it will be the fastest supercomputer in the world," Bill Goldstein, director of the Livermore lab, said Wednesday. Upgrades have boosted its performance to 143 petaflops. The current fastest machine, as measured by the Top500 ranking released by supercomputing researchers twice each year, is the IBM-built Summit supercomputer at Oak Ridge National Laboratory in Tennessee. That's fast enough that if the world's human population could perform one such calculation per second, it would take everybody eight years to match 1 second's worth of El Capitan computing. Hewlett Packard Enterprise and AMD will deliver what they expect to be the world's fastest supercomputer in 2023, a $600 million machine at Lawrence Livermore National Laboratory called El Capitan they promise will perform at 2 exaflops, or 2 quintillion calculations per second.
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