Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate machine learning models,” the topic was a focal point in a keynote on Tuesday at the International Conference on Parallel Processing by Argonne National Lab’s Rick Stevens. Stevens, ANL’s […]
Is MDX the Future of Engineering Simulation?
October 2, 2015 by
“By adopting an MDX philosophy, engineers are able to test designs automatically from the early concept stages and against all of the physical factors that might influence a system’s performance. It assesses which set of design parameters will break a system, and which will improve it. This pushes back the simulation process to force engineers to question every assumption they have made within a design, and optimise it appropriately by assessing a simulation with multiple operating scenarios.”
