Cindy Rubio-Gonzalez

Affiliation: University of California, Davis

URL: https://web.cs.ucdavis.edu/~rubio

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Improve the correctness of numerical software and the effective use of mixed floating-point precision for better performance.

Cindy is organizing events and developing educational materials on the correctness of numerical software and improving performance through effective use of mixed floating-point precision. Scope includes the use and evaluation of program-analysis techniques to improve the reliability and performance of numerical software.

Cindy is an Assistant Professor of Computer Science at the University of California, Davis. Her research spans the areas of Programming Languages and Software Engineering, with a focus on program analysis for automated bug finding and program optimization. She is particularly interested in the reliability and performance of systems software and scientific applications. Cindy is a recipient of a DOE Early Career Award 2019 and an NSF CAREER Award 2018.

Selected resources

HPC Best Practices Webinar: Scalable Precision Tuning of Numerical Software Improving the Reliability and Performance of Numerical Software, SIAM CSE21 Minisymposium: Better Scientific Software Fellowship