Computational fluid dynamics (CFD) simulations can easily generate 100+ terabytes of data. Scientists and engineers depend on supercomputers with hundreds of thousands of computing cores to solve the complex equations involved. Read about successful simulations breaking the million-core barrier.
When Lawrence Livermore National Laboratory (LLNL) in California, US, began offering outside researchers compute time on IBM Sequoiath, the second fastest supercomputer in the world with 1.6 million processor cores capable of 16 thousand trillion calculations per second (16.32 petaFLOPS), Stanford University’s School of Engineering Center for Turbulence Research (CTR) in California, US, was one of the first to jump on board.
Researchers at CTR started by working on computational fluid dynamics (CFD) code for simulating and testing noise from high performance jet aircraft. By February, they had successfully rendered complex flow simulations using more than one million compute cores. Joe Nichols, a research associate at CTR spoke about their achievements at this month’s <a href=”http://www.hpcadvisorycouncil.com/index.php”>HPC Advisory Council Conference</a> at <a href=”http://www.stanford.edu/”>Stanford University</a>. “We really want to highlight the predictive science Sequoia is enabling, and to assess the performance of our tools at the extreme scale of parallelism.”</p>Engine nozzles with and without chevrons. Image courtesy Stanford University and NASA Glenn Research Center.