SIAM CSE17 Minisymposium: Software Productivity and Sustainability for CSE and Data Science

Posted on 2017-03-09 - 12:46 authored by David E. Bernholdt
Minisymposium Abstract
Software is the key crosscutting technology that connects 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 speakers in this minisymposium will discuss work that addresses growing technical and social challenges in software productivity, quality, and sustainability, and thereby is helping software to fulfill its critical role as a cornerstone of long-term CSE collaboration.
Citation Information
Please note that the FigShare citation, below, is appropriate only to refer to the overall mini-symposium, and the "authors" are really the organizers of the session.  If you're referring to the content of specific presentations, please cite them individually rather than the overarching mini-symposium.


Bernholdt, David E.; Heroux, Michael; Katz, Daniel S.; McInnes, Lois Curfman (2017): SIAM CSE17 Minisymposium: Software Productivity and Sustainability for CSE and Data Science. figshare. Collection.
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