The director of the National Center for Supercomputing Applications has seen the future of supercomputing and it can be summed up in three letters: GPU.
Thom Dunning, who directs the NCSA and the Institute for Advanced Computing Applications and Technologies at the famed supercomputing facilities on the campus of University of Illinois at Urbana-Champaign, says high-performance computing will begin to move toward graphics processing units or GPUs. Not coincidentally, this is exactly what China has done to achieve the world's fastest speeds with its "Tianhe-1A" supercomputer. That computer combines about 7,000 Nvidia GPUs with 14,000 Intel CPUs: the only hybrid CPU-GPU system in the world of that scale.
"What we're really seeing in the efforts in China as well as the ones we have in the U.S. is that GPUs are what the future will look like," said Dunning in a phone interview Thursday. "What we're seeing is the beginning of something that's going to be happening all over the world."
NCSA already has a small CPU-GPU hybrid system. "It's something we have been working on for a number of years. We have a CPU-GPU cluster for the NCSA academic community. Made up of Intel CPUs and Nvidia GPUs. A 50 teraflop machine," he said. (Note that Oak Ridge National Laboratories is also installing a hybrid system now.)
But it's not going to be a snap to tap into the processing potential of GPUs. "Programming these machines to do [GPU] calculations is still a very substantial effort. There will be some applications that will be rewritten to use GPUs [but] a lot of times it will be only part of an application that will use it so you won't get nearly the power and computing advantage of running it all on the GPU," he said.
The catalyst to move programmers en masse toward GPUs will be when chips appear that combine both high-performance CPU and high-level GPU functions on the same piece of silicon, Dunning said. "If they start to solve some of these other problems like… Read more
Manage updates with the Download App
