Advancing Nuclear Physics Through TOPS Solvers and Tools
E Ng, J Sarich, S M Wild, T Munson, H Aktulga, C Yang, P Maris, J P, Vary, N Schunck, M G Bertolli, M Kortelainen, W Nazarewicz, T Papenbrock, M V, Stoitsov
TL;DR
This paper discusses the development of advanced solvers by the TOPS center for algebraic systems, demonstrating their application in large-scale nuclear physics simulations to improve scientific computation efficiency.
Contribution
It introduces new solver technologies for optimization and matrix computations and showcases their successful deployment in nuclear physics applications.
Findings
Enhanced solver performance in large-scale simulations
Successful application in nuclear physics research
Improved computational efficiency in scientific applications
Abstract
At the heart of many scientific applications is the solution of algebraic systems, such as linear systems of equations, eigenvalue problems, and optimization problems, to name a few. TOPS, which stands for Towards Optimal Petascale Simulations, is a SciDAC applied math center focused on the development of solvers for tackling these algebraic systems, as well as the deployment of such technologies in large-scale scientific applications of interest to the U.S. Department of Energy. In this paper, we highlight some of the solver technologies we have developed in optimization and matrix computations. We also describe some accomplishments achieved using these technologies in UNEDF, a SciDAC application project on nuclear physics.
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Taxonomy
TopicsMatrix Theory and Algorithms · Nuclear physics research studies · Nuclear reactor physics and engineering