- A half-hour job to test the scalability of an application designed to model the Earth's atmosphere. This is the kind of job-before-the-job that supercomputers do all the time. When researchers are doing big, boundary-testing science, there's often no precedent from which to work. To test the viability of this particular atmospheric model, they have to get it on the system and see how it functions. The resulting tweaks and modifications made to the software ensure that researchers can scale it to even more cores than the roughly 33,000 that were required today. More cores means bigger science, with bigger potential payoffs.
- Modeling turbulent flow of the magnetized gases in the interstellar medium. It's one in a series of simulations aimed at building a bigger picture of how stars form and why galaxies move the way they do.
- And spending an hour modeling radiation dosing for patients suffering from cancers. The way a radiation dose is delivered--its size, shape, duration, location, etc.--has everything to do with its efficacy. Moreover, this kind of modeling can help to reduce the side effects of radiation exposure to healthy tissues.