For December's Inside the Discovery Cloud event, Juan de Pablo, Liew Family Professor in Molecular Engineering at the IME, discussed how his laboratory uses computational approaches to study DNA mapping and self-assembly. Then, Michael Wilde, CI Senior Fellow, and software architect at Argonne National Laboratory discussed methods developed and applied at UChicago and Argonne that help researchers conquer the complexity of high performance computer modeling and better integrate it into the scientific knowledge discovery process.
Scientists using Argonne's Advanced Photon Source to study the atomic structure of jet engine materials employed the Computation Institute's Swift parallel programming language and the world-class supercomputer Mira to speed up analysis and make experimental adjustments on the fly.
For software geeks, the breakout star of the Apple’s Worldwide Developers Conference (WWDC) this year wasn’t the next Macbook or iPhone, but a new language called Swift, for programming Apple devices. But since 2007, Computation Institute computer scientists have created and supported a completely different Swift: a high-level programming language to make fast parallel computing on any system easier for scientists, engineers, and data analysts.