A perspective on computational science in the 21st century
Computing in Science and Engineering
Creating Simulation Capabilities
IEEE Computational Science & Engineering
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In a recent essay, John Rice listed a set of obvious and less-than-obvious challenges facing computational science and engineering researchers in the 21st century, given the rapid growth in raw computing power. Obvious challenges included dimensionality extension, finer scales, better mathematical models, parallel computing, and algorithms. Less-than-obvious challenges included multiphysics and multiscale phenomena, software, model and software validation, computational intelligence, and a language for computational science. In this issue, we report on a set of five advanced simulation research efforts, each of which requires that all-or almost all-of these challenges be addressed.