Andrew Myers writes that Stanford researchers using the Sequoia IBM Bluegene/Q system at LLNL have set a new record, harnessing a million compute cores to model supersonic jet noise.
These runs represent at least an order-of-magnitude increase in computational power over the largest simulations performed at the Center for Turbulence Research previously,” said Joseph Nichols, a research associate in the center. “The implications for predictive science are mind-boggling.” Sequoia once topped list of the world’s most powerful supercomputers, boasting 1,572,864 compute cores and 1.6 petabytes of memory connected by a high-speed five-dimensional torus interconnect. Because of Sequoia’s impressive numbers of cores, Nichols was able to show for the first time that million-core fluid dynamics simulations are possible—and also to contribute to research aimed at designing quieter aircraft engines.”
In addition to jet noise simulations, Stanford researchers in the DoE-sponsored Predictive Science Academic Alliance Program are using the CharLES code to investigate advanced-concept scramjet propulsion systems used in hypersonic flight and to simulate the turbulent flow over an entire airplane wing. Read the Full Story.