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What these machines can do in a single day would take the average PC about 20 years. 5 3 0 9 0 9 5. 2 5 41 5 45. 7 bitcoin mining xeon phi 109 5 110.

4 124 17 124 18. We live in the computer age so it’s no surprise that a nation’s international importance is often measured on the number and the size of supercomputers it runs. Tianhe-2, a supercomputer at China’s National University of Defence Technology in Guangzhou, was hailed once again as the world’s most powerful system, clocking 33. 57 petaflops Cray CS-Storm system installed at a secret US government facility. Does Tianhe-2’s domination mean China is taking over? China is also among the most populated nations,” points out George K. Thiruvathukal, Member of the IEEE Computer Society and professor of Computer Science at Loyola University Chicago.

They have a hundred cities with more than a million people. If anything, it reinforces the importance of the UK and US continuing to make investments in supercomputing and advanced computational methods in general. Thiruvathukal thinks that the austerity measures now in place in many Western democracies could leave them trailing behind the likes of India and China, but that it’s really not about money, but efficiency. When India launched a probe to Mars at a tenth of the cost of an equivalent mission in the USA, there is a growing feeling that spending money alone is not going to allow the UK and US to remain ahead,” he says. That said, not spending money is a certain path to falling behind the curve. China actually only has 61 supercomputers in the Top 500, down from 76 since June’s list, compared to a whopping 231 in the US.

Holed-up in China’s National University of Defence Technology in Guangzhou, Tianhe-2 is the world’s top system with a performance of 33. Achieving quadrillions of calculations per second, Tianhe-2 uses Intel Xeon Phi processors and is named after the Milky Way. A Cray XK7 system at the US Department of the Oak Ridge National Observatory in Oak Ridge, Tenessee, It uses Nvidia Tesla GPUs and AMD Opteron CPUs to create a 17. 5 petaflop system for a range of science projects.

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