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Russian physicists have put a computer running a consumer-level Nvidia GPU to work on equations that are normally performed using a powerful supercomputer, and found that the home PC solved them in 15 minutes – far faster than the supercomputer's time of two or three days.
A GPU is designed with multiple threads of processing power, which allows it to perform many more simultaneous calculations than a CPU. The researchers from the Lomonosov Moscow State University wanted to take advantage of that, and test whether consumer-level tech would make an accessible alternative to supercomputers, in situations where many equations had to be run parallel to each other.
The GPU tackled few-body scattering equations, which describe how multiple quantum particles interact with each other. Where three or more of these bodies are involved, the equations become extremely difficult to calculate, involving a table containing tens or even hundreds of thousands of rows and columns of data. Running on Nvidia software as well as custom programs written by the researchers, the GPU performed better than expected.
"We reached a speed we couldn't even dream of," says team leader Vladimir Kukulin. "The program computes 260 million complex double integrals on a desktop computer within three seconds. No comparison with supercomputers! My colleague from the University of Bochum in Germany carried out the calculations using one of the largest supercomputers in Germany with the famous blue gene architecture, which is actually very expensive. And what took his group two or three days we do in 15 minutes without spending a dime."
http://phys.org/news/2016-06-scientists-pc-complex-problems-tens.html
A GPU is designed with multiple threads of processing power, which allows it to perform many more simultaneous calculations than a CPU. The researchers from the Lomonosov Moscow State University wanted to take advantage of that, and test whether consumer-level tech would make an accessible alternative to supercomputers, in situations where many equations had to be run parallel to each other.
The GPU tackled few-body scattering equations, which describe how multiple quantum particles interact with each other. Where three or more of these bodies are involved, the equations become extremely difficult to calculate, involving a table containing tens or even hundreds of thousands of rows and columns of data. Running on Nvidia software as well as custom programs written by the researchers, the GPU performed better than expected.
"We reached a speed we couldn't even dream of," says team leader Vladimir Kukulin. "The program computes 260 million complex double integrals on a desktop computer within three seconds. No comparison with supercomputers! My colleague from the University of Bochum in Germany carried out the calculations using one of the largest supercomputers in Germany with the famous blue gene architecture, which is actually very expensive. And what took his group two or three days we do in 15 minutes without spending a dime."
http://phys.org/news/2016-06-scientists-pc-complex-problems-tens.html
