Title
Implementing molecular dynamics on hybrid high performance computers - Particle-particle particle-mesh.
Abstract
The use of accelerators such as graphics processing units (GPUs) has become popular in scientific computing applications due to their low cost, impressive floating-point capabilities, high memory bandwidth, and low electrical power requirements. Hybrid high-performance computers, machines with nodes containing more than one type of floating-point processor (e.g. CPU and GPU), are now becoming more prevalent due to these advantages. In this paper, we present a continuation of previous work implementing algorithms for using accelerators into the LAMMPS molecular dynamics software for distributed memory parallel hybrid machines. In our previous work, we focused on acceleration for short-range models with an approach intended to harness the processing power of both the accelerator and (multi-core) CPUs. To augment the existing implementations, we present an efficient implementation of long-range electrostatic force calculation for molecular dynamics. Specifically, we present an implementation of the particle–particle particle-mesh method based on the work by Harvey and De Fabritiis. We present benchmark results on the Keeneland InfiniBand GPU cluster. We provide a performance comparison of the same kernels compiled with both CUDA and OpenCL. We discuss limitations to parallel efficiency and future directions for improving performance on hybrid or heterogeneous computers.
Year
DOI
Venue
2012
10.1016/j.cpc.2011.10.012
Computer Physics Communications
Keywords
Field
DocType
Molecular dynamics,Electrostatics,Particle mesh,GPU,Hybrid parallel computing
Graphics,Particle Mesh,InfiniBand,GPU cluster,High memory,CUDA,Computer science,Parallel computing,Distributed memory,Memory management,Computational science
Journal
Volume
Issue
ISSN
183
3
0010-4655
Citations 
PageRank 
References 
34
2.64
2
Authors
4
Name
Order
Citations
PageRank
W. Michael Brown118116.09
Axel Kohlmeyer2615.12
Steven J. Plimpton326422.82
Arnold N. Tharrington4777.25