Name
Title | ||
|---|---|---|
The Vectorization of the Tersoff Multi-Body Potential: An Exercise in Performance Portability. |
Abstract | ||
|---|---|---|
Molecular dynamics simulations, an indispensable research tool in computational chemistry and materials science, consume a significant portion of the supercomputing cycles around the world. We focus on multi-body potentials and aim at achieving performance portability. Compared with well-studied pair potentials, multibody potentials deliver increased simulation accuracy but are too complex for effective compiler optimization. Because of this, achieving cross-platform performance remains an open question. By abstracting from target architecture and computing precision, we develop a vectorization scheme applicable to both CPUs and accelerators. We present results for the Tersoff potential within the molecular dynamics code LAMMPS on several architectures, demonstrating efficiency gains not only for computational kernels, but also for large-scale simulations. On a cluster of Intel Xeon Phi's, our optimized solver is between 3 and 5 times faster than the pure MPI reference. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SC.2016.6 | SC |
Keywords | DocType | Volume |
Tersoff multibody potential,molecular dynamics simulations,computational chemistry,materials science,multibody potentials,performance portability,pair potentials,compiler optimization,LAMMPS molecular dynamics code,Intel Xeon Phi | Conference | abs/1607.02904 |
ISBN | Citations | PageRank |
978-1-4673-8815-3 | 13 | 1.91 |
References | Authors | |
20 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Höhnerbach | 1 | 16 | 4.35 |
| Ahmed E. Ismail | 2 | 13 | 4.27 |
| Paolo Bientinesi | 3 | 448 | 53.91 |