The 4 hardest computing problems on earth
America’s most powerful supercomputer runs calculations so quickly it makes your laptop look like an abacus. The machine, called Titan, is located at the Oak Ridge National Laboratory in Tennessee. It is also the fastest supercomputer the world. It can process more than 17 petaflops of data per second — that’s roughly 20,000 trillion simultaneous calculations. Though Titan has the strength of 500,000 laptops, computer scientists are hungry for more. Already, they are dreaming of a machine that could manage an exaflop of data, which would require about 50 times more processing power than Titan. So-called exascale computing could let researchers answer some of the toughest scientific problems.
Building better climate models is becoming more important, as scientists work to predict the potential effects of a warming planet. But the best supercomputers today fall short of researchers’ goals. If you think of the globe as an image, the best supercomputers can only render pixels the size of 14 square kilometers. An exascale computer could bring that down to one square kilometer. The effect? Scientists could see the impact of minutely detailed climate factors such as individual cloud formations and ocean eddies.
Much of the future of pharmaceuticals is in algorithms, not petri dishes. Researchers will develop drugs based on programs that predict how chemicals will interact with the body. In this approach to solving problems in biology, chemistry, and materials sciences, scientists model the movement of individual atoms or molecules, factoring in the various forces exerted on them.
With Titan, scientists can model the chemical reactions for combustion of relatively simple fuels like alcohol and butanol. But because gasoline and biodiesels are complex fuels — the molecules inside are longer and thus trickier to model — more and more powerful supercomputers will be required to parse them.
More powerful supercomputers could shine a light on some of the most foreign phenomena in the universe. For example, scientists in the future may be able to model the awesome forces that interact when a star explodes. Running programs that includes all the sciences at play would require an exaflop of data. With that much power, the next generation of supercomputers could bring the mysteries of deep space closer to home.