This week, almost 2,500 experts from industry, research, and
academia have gathered in the German city of Leipzig for International Supercomputing Conference
’13 (ISC’13). The event played host today to the announcement of the new TOP500 list of the fastest
supercomputers in the world. Milky
Way 2 (known also as Tianhe-2), located at the National University of Defense Technology
(NUDT) in Changsha, China, was announced the new winner. “The Milky Way 2
project lasted three years and required the work of more than 400 team members,”
says Kai Lu, vice dean of the School of Computer Science at NUDT. Boasting over
3 million cores and with a peak performance of around 34 petaFLOPS on the Linpack benchmark, Milky
Way 2 is nearly twice as fast as the previous winning supercomputer, Titan, at Oakridge National Laboratory, US. Titan has now
slipped to number two spot on the list, with another US-based supercomputer, Sequoia, located
at Lawrence Livermore National Labs,
completing the top three. JuQUEEEN
at the Jülich
Supercomputing Centre in Germany was ranked as the fastest machine in
Europe.
“Our projections still point towards reaching exascale
systems by around 2019,” says Erich Strohmaier of the
US Department of Energy’s Lawrence Berkley National
Laboratory, who gave an overview of the highlights of the new Top 500 list.
Strohmaier, however, warns that increasing the power efficiency of
supercomputing systems will continue to be a major challenge over the coming
years: “If we don’t start to have some new ideas about how to build
supercomputers, we will truly be in trouble by the end of the decade.”
“If you actually look
at what people want to do, an exaflop is still not enough,” says Bill Dally of
NVIDIA and Stanford University,
California, US. He capped off this
morning’s programme with a keynote speech on the future challenges of large
scale computing. “The appetite for performance is insatiable,” he says, citing work
in a number of research fields as evidence that performance is currently still
the limiting factor in terms of the exciting science which can potentially be
done. “If we provide increased performance, people will always find interesting
things to do with it.”
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