Materials and Molecular Modeling at the Exascale

9Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The transition to exascale computing will make possible simulations of unprecedented accuracy and complexity. We focus on materials and molecular modeling (MMM) aspiring to high fidelity, in silico experiments on complex systems of technological interest. This progress will present unprecedented challenges to the software used, especially how to exploit the huge degree of parallelism and the associated problems of creating effective workflows and data management on such platforms. Within the U.K.'s ExCALIBUR computing initiative, our U.K.-led MMM Design and Development Working Group has worked with the broad MMM community to identify high-priority applications that will drive future exascale software developments. We present an overview of selected case studies that pose new methodological challenges on exascale platforms and discuss the requirements, software challenges, and impact of each application area.

Cite

CITATION STYLE

APA

Keal, T. W., Elena, A. M., Sokol, A. A., Stoneham, K., Probert, M. I. J., Cucinotta, C. S., … Woodley, S. M. (2022). Materials and Molecular Modeling at the Exascale. Computing in Science and Engineering, 24(1), 36–45. https://doi.org/10.1109/MCSE.2022.3141328

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free