Communications of the ACM
LLNL's SUNDIALS Team Awarded SIAM/ACM Prize
SUNDIALS has become internationally recognized as one of the most effective and efficient time integration libraries.
Credit: Lawrence Livermore National Laboratory
ACM and the Society for Industrial and Applied Mathematics (SIAM) have named a team of researchers at the U.S Department of Energy's Lawrence Livermore National Laboratory the recipients of the 2023 SIAM/ACM Prize in Computational Science and Engineering.
The team was recognized for developing the SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers) time-integration software library to reliably solve mathematical equations critical to modeling physical phenomena.
Team members cited two advances that make SUNDIALS unique: co-development of fully adaptive time integrators and nonlinear solvers that require no system matrices for stiff systems, and careful implementations enabling the use of SUNDIALS on various computing systems and software environments.
Government laboratories, academic institutions, and industry have used SUNDIALS to implement advances in applications as diverse as fusion device modeling, watershed modeling, and reacting flow simulations.
From Lawrence Livermore National Laboratory
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
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