SC Conference - Activity Details

Philip Sternberg  (Lawrence Berkeley National Laboratory)

Pieter Maris  (Iowa State University)

Esmond G. Ng  (Lawrence Berkeley National Laboratory)

Masha Sosonkina  (Ames Laboratory)

Hung V. Le  (Ames Laboratory)

James P. Vary  (Iowa State University)

Chao Yang  (Lawrence Berkeley National Laboratory)

Large-Scale Applications

Tuesday,  02:00PM - 02:30PM

Room Ballroom E

One of the emerging computational approaches in nuclear physics is the configuration interaction (CI) method for solving the many-body nuclear Hamiltonian in a sufficiently large single-particle basis space to obtain exact answers - either directly or by extrapolation. The lowest eigenvalues and the corresponding eigenvectors for very large, sparse and unstructured nuclear Hamiltonian matrices are obtained and used to evaluate additional experimental quantities. These matrices pose a significant challenge to the design and implementation of efficient and scalable algorithms for obtaining solutions on massively parallel computer systems. In this paper, we describe the computational strategies employed in a state of the art CI code MFDn (Many Fermion Dynamics - nuclear) as well as techniques we recently developed to enhance the computational efficiency of MFDn. We will demonstrate the current capability of MFDn and report the latest performance improvement we have achieved. We will also outline our future research directions.

The full paper can be found in the IEEE Xplore Digital Library and ACM Digital Library