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Пишет Data Center Knowledge | News and analysis for the data center industry - Industr ([info]syn_dcknowledge)
@ 2014-11-25 13:00:00


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You May Not Know it, but You Used a Supercomputer Today

NEW ORLEANS - Let’s face it, supercomputers are cool. In a culture that’s impressed by big numbers, they serve as poster children for our technological prowess, crunching data with mind-blowing speed and volume. These awesome machines seem to have little in common with the laptops and tablets we use for our everyday computing.

In reality, say leaders of the high performance computing (HPC) community, supercomputers touch our daily lives in a wide variety of ways. The scientific advances enabled by these machines transform the way Americans receive everything from weather reports to medical testing and pharmaceuticals.

“HPC has never been more important,” said Trish Damkroger, a leading researcher at Lawrence Livermore National Laboratory and the chair of last week’s SC14 conference, which brought together more than 10,000 computing professionals in New Orleans. The conference theme of “HPC Matters” reflects a growing effort to draw connections between the HPC community and the fruits of its labor.

“When we talk at these conferences, we tend to talk to ourselves,” said Wilf Pinfold, director of research and advanced technology development at Intel Federal. “We don’t do a good job communicating the importance of what we do to a broader community. There isn’t anything we use in modern society that isn’t influenced by these machines and what they do.”

Funding Challenges, Growing Competition

Getting that message across is more important than ever, as America’s HPC community faces funding challenges and growing competition from China and Japan, which have each created supercomputers that trumped America’s best to gain the top spot in the Top 500 ranking of the world’s most powerful supercomputers. The latest Top 500 list, released at the SC14 event, is once again topped by China’s Tianhe-2 (Milky Way) supercomputer, followed the Titan machine at the U.S. Department of Energy’s Oak Ridge Laboratory.

The DOE just announced funding to build two powerful new supercomputers that should surpass Tianhe-2 and compete for the Top 500 crown by 2017. The new systems, to be based at Livermore Labs in California and Oak Ridge National Laboratory in Tennessee, will have peak performance in excess of 100 petaflops, and will move data at more than 17 petabytes a second – the equivalent to moving over 100 billion photos on Facebook in a second. The systems will use IBM POWER chips, NVIDIA Tesla GPU accelerators and a high-speed Mellanox InfiniBand networking system.

These projects mark the next phase in the American HPC community’s goal of deploying an “exascale” supercomputer, which can compute at 1,000 petaflops per second, as opposed to the 33 petaflops per second achieved by Tianhe-2. The latest roadmap envisions a prototype of an exascale system by 2022.

Winds of Change in Washington

That type of rapid advance will require significant investment. Nearly three quarters of HPC professionals say it continues to be difficult for HPC sites to obtain funding for compute infrastructure without demonstrating a clear return on investment, according to a new survey from Data Direct Networks.

The largest funder of American supercomputing has been the U.S. government, which is in a transition with implications for HPC funding. Many of the projects showcased last week at SC14 focus on scientific research, including research areas that may clash with the political agenda of the Republican Party, which gained control of both the House and Senate in elections earlier this month.

A case in point: Climate change has been a focal point for HPC-powered data analysis, such as a new climate model unveiled last week by NASA. As noted by ComputerWorld, Sen. Ted Cruz of Texas is rumored to be in line to chair the Senate Subcommittee on Science and Space committee, which oversees NASA and the National Science Foundation. Cruz is a climate change skeptic who does not believe global warming is supported by data.



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