Whitepapers Submitted to the 2017 DOE ASCR Applied Mathematics Meeting
Version 3 2017-09-10, 23:12
Version 2 2017-09-01, 11:31
Version 1 2017-09-01, 03:20
Posted on 2017-09-10 - 23:12 authored by Lois Curfman McInnes
U.S. Department of Energy (DOE), Office of Advanced Scientific Computing Research (ASCR), Applied Mathematics:
The organizers of the 2017 DOE ASCR Applied Mathematics Meeting solicited short whitepapers addressing one or more broad questions on potential high-impact future research directions. The goal of the whitepapers was to brainstorm broadly about new areas of work needed to meet DOE mission needs.
This collection consists of 59 whitepapers submitted to the meeting. Each whitepaper specifies the question(s) that it addresses:
1. Multiscale, multiphysics, multifidelity modeling research
1a. Significant
advances in coupling scales and physics have occurred during the past
several decades. What research gaps and/or clearly superior/unifying
methods are emerging from these diverse approaches?
1b. How
can we truly advance beyond interpretive simulation to predictive
simulation, optimization, and design for complex physical systems? What
obstacles remain, and what will characterize the models, algorithms,
and computational horsepower necessary to overcome them?
2. Convergence of data- and model-driven discovery
2a. As
related to the development of new mathematical theory and proof, what
is needed to advance simulation (scale and resolution) and data
analytics (size and complexity) so that they can be used to automate and
accelerate theoretical development?
2b. How
can machine learning, artificial intelligence, and applied statistics
contribute to our research space and/or open up new areas of research?
Since these topics cross the divide of computer science and
mathematics, on what aspects should the DOE Applied Mathematics
portfolio focus?
3. Sustaining applied mathematics workforce and products
3a. What
new skills and training processes do future and existing applied
mathematics researchers need in order to meet emerging and future
research needs? How can the DOE national labs and academia initiate
and collaborate to improve current practices?
3b. What
is the appropriate role of software development in ASCR applied math
research, and what are funding models that would support that role?
Should we have a software management and sustainability plan similar to
the required data management plans?
4. Applied mathematics for future computing directions
4a. What
kinds of new complexity models are needed in order to better reflect
the true costs of computation (e.g., data motion, not flops)? How
should such models be used insitu to adapt computational/mathematical
methodologies to architecture and machine state?
4b. What
applied mathematics research is needed for the era of supercomputing
beyond the scaling limits of Moore's law? What existing elements in
the DOE applied mathematics portfolio can be leveraged?
Further details are available at the meeting website: http://www.orau.gov/ascr-appliedmath-pi2017/whitepaper-questions.htm
ASCR Program Managers: Steven Lee and Abani Patra (DOE)
Organizing Committee:
Jeffrey Hittinger, LLNL (co-chair)
Lois Curfman McInnes, ANL (co-chair)
Nathan Baker, PNNL
Miranda Holmes-Cerfon, NYU
Arthur Maccabe, ORNL
Esmond Ng, LBNL
Michael Parks, SNL
Pieter Swart, LANL
Karen Willcox, MIT
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Lee, Steven; Patra, Abani; Hittinger, Jeffrey; McInnes, Lois Curfman; (Ed.) (2017). Whitepapers Submitted to the 2017 DOE ASCR Applied Mathematics Meeting. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.3868894.v3
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