SIAM CSE19 Minisymposium: Software Productivity and Sustainability for CSE and Data Science
Software is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and analysis for predictive science, engineering, and other research fields. While software is becoming more complex due to multiphysics and multiscale modeling, the coupling of data analytics, and disruptive changes in computer hardware (due to increases in typical system scale and heterogeneity, including GPUs and additional alternative architectures), software itself has not traditionally received focused attention in the CSE community or been rewarded by that community. The presenters in this minisymposterium will address work that addresses growing technical and social challenges in software productivity, quality, and sustainability, and thereby helps software fulfill its critical role as a cornerstone of long-term CSE collaboration. Having a minisymposterium for these topics provides a natural gathering point during poster sessions for informal conversation.
This collection presentations constituted Minisymposia MS338 and MS371: Software Productivity and Sustainability for CSE and Data Science at the SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA, February, 2019.
Recordings of these presentations will also be forthcoming.
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Bernholdt, David E.; Katz, Daniel S.; Jones, Catherine (2019): SIAM CSE19 Minisymposium: Software Productivity and Sustainability for CSE and Data Science. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4419935.v1