DALLAS (SMU) – A multi-institutional team including Daniel Reynolds, Chair of Mathematics at SMU, and David Gardner, PhD student at SMU, was awarded the 2023 SIAM/ACM Prize in Computational Science and Engineering.
The prize is awarded by the Society for Industrial and Applied Mathematics (SIAM) and the Association of Computing Machinery (ACM) to recognize outstanding contributions to the development and use of mathematical and computational tools and methods to solve scientific and engineering problems. It is one of SIAM’s most significant awards and will be presented to the team at the 2023 SIAM Conference on Computational Science and Engineering in Amsterdam next February.
Reynolds, Professor and Chair of Mathematics at SMU (Southern Methodist University), and Gardner, who has a PhD in Mathematics from SMU, are part of a team recognized for their years of development of the open source SUNDIALS software suite to provide a reliable tool for solving mathematical equations fundamental to modeling and simulating physical phenomena by easily integrating it into existing simulation codes. The suite includes methods for solving ordinary differential equation systems, differential algebraic equation systems and nonlinear algebraic systems.
Reynolds began collaborating with the team as a postdoctoral fellow at Lawrence Livermore National Laboratory (LLNL) from 2003 to 2005, although most of his contributions to the work over the past 10 years have been made during his tenure as an associate professor at SMU.
Gardner is now a Computational Scientist at LLNL’s Center for Applied Scientific Computing (CASC).
The SUNDIALS team also includes:
- Carol Woodward, Distinguished Member of the Technical Staff, Center for Applied Scientific Computing (CASC), (LLNL)
- Cody Balos, Computer Scientist, CASC, LLNL
- Peter Brown, Computational Physicist, CASC, LLNL
- Alan Hindmarsh, Mathematician, CASC, LLNL (retired)
- Radu Serban, Senior Scientist, Department of Mechanical Engineering, University of Wisconsin-Madison
“While many researchers in our discipline are developing exceptional methods, our team has made significant efforts to develop these methods into robust and well-documented software tools,” said Reynolds, who has been at SMU for 14 years. “By recognizing the impact this software has had on the SIAM community, I feel this award validates that extra effort.”
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