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A share of a prestigious award, a demo of a new research data portal, and a plenary talk are among the highlights of CI research a

The CI team behind Swift likes to call the philosophy behind the parallel scripting language "programming in the large." The idea is that Swift lives one order higher than a project's core family o

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More and more industries now use modeling and simulation as critical tools for engineering and design.

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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.

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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.

Event
Justin Wozniak, Mathematics and Computer Science Division, Argonne National Laboratory
July 31, 2014
Argonne National Lab, TCS Building 240, Room 5172, broadcast via Adobe Connect

A large-scale, collaborative computational experiment involves more than the tuning of individual code fragments- typically, codes must be assembled, integrated in one or more programmin

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.

Much has been made of the potential of large and complex datasets to revolutionize scientific discovery in life sciences, social science, and the humanities.

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After a successful first run last fall, the Computation Institute hosted a second round of lightning talks -- short talks about CI researc