Computing power today is more potent than ever before. Or is it? In many applications, yes, but when it comes to sophisticated, detailed modeling of the Earth’s climate, an analogy of using an abacus to track the national debt may be only a slight exaggeration. “To accurately predict the Earth’s climate over the next 200–300 years, one needs to simulate the atmosphere, the oceans, and the Earth’s land, and one would need to do it all at the same time,” said Bert Debusschere (8351). Current supercomputers, as powerful as they may be, would take several years to deliver accurate predictions—and that’s only if they could be dedicated for that sole purpose.
“Each component of climate modeling/simulation
Bert’s team delivered a presentation on this new approach at the Society for Industrial and Applied Mathematics (SIAM) Conference on Parallel Processing for Scientific Computing in Portland, Oregon, in February 2014. This conference also included presentations from more than a dozen other Sandia researchers working to push the frontiers of computing to the exascale.
Read the full article in CRF News.