Research and education in computational science and engineering

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Rüde U, Willcox K, Curfaman McInnes L, De Sterck H
Zeitschrift: SIAM Review
Verlag: Society for Industrial and Applied Mathematics
Jahr der Veröffentlichung: 2018
Band: 60
Heftnummer: 3
Seitenbereich: 707--754
ISSN: 0036-1445


Abstract




This
report presents challenges, opportunities, and directions for computational
science and engineering (CSE) research and education for the next decade. Over
the past two decades the field of CSE has penetrated both basic and applied
research in academia, industry, and laboratories to advance discovery, optimize
systems, support decision-makers, and educate the scientific and engineering
workforce. Informed by centuries of theory and experiment, CSE performs
computational experiments to answer questions that neither theory nor
experiment alone is equipped to answer. CSE provides scientists and engineers with
algorithmic inventions and software systems that transcend disciplines and
scales. CSE brings the power of parallelism to bear on troves of data.
Mathematics-based advanced computing has become a prevalent means of discovery
and innovation in essentially all areas of science, engineering, technology,
and society, and the CSE community is at the core of this transformation.
However, a combination of disruptive developments---including the architectural
complexity of extreme-scale computing, the data revolution and increased attention
to data-driven discovery, and the specialization required to follow the
applications to new frontiers---is redefining the scope and reach of the CSE
endeavor. With these many current and expanding opportunities for the CSE
field, there is a growing demand for CSE graduates and a need to expand CSE
educational offerings. This need includes CSE programs at both the
undergraduate and graduate levels, as well as continuing education and professional
development programs, exploiting the synergy between computational science and
data science. Yet, as institutions consider new and evolving educational
programs, it is essential to consider the broader research challenges and
opportunities that provide the context for CSE education and workforce
development.










FAU-Autoren / FAU-Herausgeber

Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Zitierweisen

APA:
Rüde, U., Willcox, K., Curfaman McInnes, L., & De Sterck, H. (2018). Research and education in computational science and engineering. SIAM Review, 60(3), 707--754. https://dx.doi.org/10.1137/16M1096840

MLA:
Rüde, Ulrich, et al. "Research and education in computational science and engineering." SIAM Review 60.3 (2018): 707--754.

BibTeX: 

Zuletzt aktualisiert 2019-04-04 um 06:10