Computational science and engineering (CSE) is a multidisciplinary field of research and education lying at the intersection of applied mathematics, statistics, computer science, and core disciplines of science and engineering.
CSE is devoted to the development and use of computational methods for scientific discovery in all branches of the sciences, for the advancement of innovation in engineering and technology, and for the support of decision-making across a spectrum of societally important application areas. CSE is widely recognized as an essential driver of scientific and technological progress in conjunction with theory and experiment.
The broad impact of CSE and next-generation opportunities are summarized in the article: Research and Education in Computational Science and Engineering, U. Rüde, K. Willcox, L.C. McInnes, H. De Sterck, SIAM Review, https://arxiv.org/abs/1610.02608, led by the SIAM Activity Group on CSE.
Software is the key crosscutting technology that connects advances in applied mathematics, computer science, and domain-specific science and engineering for advanced discovery and analysis in CSE. While software is becoming more complex because of multiphysics and multiscale modeling, the coupling of data analytics, and disruptive changes in computer hardware, software itself has not traditionally received focused attention in the CSE community.
The Better Scientific Software community is working to enable software to fulfill its critical role as an essential cornerstone of long-term CSE collaboration and discovery.
Compared with larger software communities for whom much of the software improvement literature has been written, the CSE community has a number of distinct characteristics. In particular:
CSE software challenges are discussed in a community report: Computational Science and Engineering Software Sustainability and Productivity Challenges (CSESSP) Workshop Report, M. Heroux, G. Allen, et al., 2016, Networking and Information Technology Research and Development (NITRD) Program, https://www.nitrd.gov/PUBS/CSESSPWorkshopReport.pdf.