Next-Generation Computational Science: Multidisciplinary Extreme Computing

As computers continue their march towards exascale, there is an increasing need for a new breed of computational scientist that can take advantage of this capability to deliver innovation. Teams of scientists and engineers that bridge knowledge gaps—connecting applied math and computer science to physics and biology—can tackle grand-challenge problems and achieve spectacular results. This experiential learning produces transformational knowledge that benefits the entire computational community.