Researchers at the Center for Turbulence Research set a new
record in supercomputing, harnessing a million computing cores to model
supersonic jet noise. Work was performed on the newly installed Sequoia IBM
Bluegene/Q system at Lawrence Livermore National Laboratories.
Stanford Engineering's Center for Turbulence Research (CTR)
has set a new record in computational science by successfully using a
supercomputer with more than one million computing cores to solve a complex
fluid dynamics problem—the prediction of noise generated by a supersonic jet
engine.
Joseph Nichols, a research associate in the center, worked
on the newly installed Sequoia IBM Bluegene/Q system at Lawrence Livermore
National Laboratories (LLNL) funded by the Advanced Simulation and Computing
(ASC) Program of the National Nuclear Security Administration (NNSA). Sequoia
once topped list of the world's most powerful supercomputers, boasting
1,572,864 compute cores (processors) and 1.6 petabytes of memory connected by a
high-speed five-dimensional torus interconnect.