China aims to become supercomputer superpower

jaguar supercomputer The US owned Jaguar has a top speed of 1.75 petaflops

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China is ramping up efforts to become the world's supercomputing superpower.

Its Nebulae machine at the National Super Computer Center in Shenzhen, was ranked second on the biannual Top 500 supercomputer list.

For the first time, two Chinese supercomputers appear in the list of the top 10 fastest machines.

However, the US still dominates the list with more than half the Top 500, including the world's fastest, known as Jaguar.

The Cray computer, which is owned by the Oak Ridge National Laboratory in Tennessee, has a top speed of 1.75 petaflops.

One petaflop is the equivalent of 1,000 trillion calculations per second.

It is used by scientists conducting research in astrophysics, climate science and nuclear energy.

How fast is the Jaguar Supercomputer?

The Jaguar supercomputer performs 1,750 trillion calculations a second. How long does it take an average PC to match its performance in different time periods?

Supercomputer time
PC time
Calculations in 1 second.
Calculations in 1 minute.
Calculations in 1 hour.
Calculations in 1 day.
Source: Oxford Supercomputing Centre/Intel

By comparison, China has 24 machines in the list. Its fastest has a top speed of 1.20 petaflops, more than double the speed of its previous top supercomputer. However, it has a theoretical top speed of nearly 3 petaflops, which would make it the fastest in the world.

The fastest machine in the UK - which has 38 supercomputers on the list - is housed at the University of Edinburgh. It has a top speed of 0.27 petaflops.

"The Top 500 list definitely has an element of flag waving," said Dr Jon Lockley, manager of the Oxford Supercomputing Centre.

Quick thinking

He said China was rapidly becoming a "player" in high performance computing.

Dawning, the company behind the fastest Chinese machine, is reportedly building an even faster machine for the National Supercomputer Center in Tianjin. In addition, it is also developing home-grown silicon chips to power the behemoths.

bbc infographic

"Their use of high-performance computers is really systematic of their industrial emergence," Dr Lockley told BBC News.

The machines tend to be used for industrial research, such as aircraft design and petroleum exploration.

Dr Lockley said this was becoming increasingly common around the world.

"Whenever possible, everything is done in a supercomputer," he said.

"Look at Formula One - it's getting rid of all of its wind tunnels and replacing them with supercomputers. It's the same in the aerospace industry as well.

"It means you can all the modelling in the supercomputer and then do just one real world test."

Many of the US machines, by contrast, are owned by the government and are used to monitor the nuclear weapon stockpile.

Start Quote

The spooks have got some pretty big machines”

End Quote Jon Lockley Oxford Supercomputing Centre

The US has one other petaflop machine - owned by the US Department of Energy. Roadrunner, as it is known, held the top spot until Jaguar displaced it in 2009.

All others machines on the list run at so-called teraflop speeds.

A teraflop is the equivalent of one trillion calculations per second.

Spy machines

However, scientists are already thinking about so-called exascale machines which would be able to crunch through one quintillion (one million trillion) calculations per second.

An exascale computer has been proposed to process data from the Square Kilometre Array (SKA), a series of thousands of telescopes spread over 3,000km. The telescope will be based in either Australia or South Africa.

"At that sort of size the challenge is trying to programme the machines,"" said Dr Lockley.

"It has to be fault tolerant - you can't have a situation where an entire task falls over if one bit fails."

The top 500 list was published at the International Supercomputing Conference in Hamburg, Germany.

It ranks machines by speed. However, according to Dr Lockley, determining which machine is the quickest is a difficult issue.

"It's measured against a theoretical benchmark - if you ran a real-world application you might get a very different answer".

It is also a voluntary list and therefore does not include all machines, such as those at the Oxford Supercomputing Centre and many classified machines owned by governments.

"The spooks have got some pretty big machines," said Dr Lockley.

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