CSE is naturally interdisciplinary. Its goals concern understanding and analyzing complex systems, predicting their behavior, and optimizing processes and designs. CSE thus grows out of physical applications, while depending on computer architecture and software, and having at its core powerful algorithms. At the frontiers of CSE remain many open problems and challenges, including the verification, validation, and uncertainty quantification of computational models; the analysis and assimilation of large and complex data sets, including techniques for visualization and animation; and the design of flexible CSE software.
The SIAM CSE conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large-scale problems in science and engineering, foster the interdisciplinary culture required to meet these large-scale challenges, and promote the training of the next generation of computational scientists.
Sponsored by the SIAM Activity Group on Computational Science and Engineering.
Learn more about the benefits of sponsoring CSE19.
Jeffrey HittingerLawrence Livermore National Laboratory, USALuke OlsonUniversity of Illinois at Urbana-Champaign, USASuzanne ShontzUniversity of Kansas, USA
Katherine J. EvansOak Ridge National Laboratory, USAHans JohansenLawrence Berkeley National Laboratory, USAMatthew G. KnepleyUniversity at Buffalo, USATamara G. KoldaSandia National Laboratories, USAAlison MarsdenStanford University, USA
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