On the performance of molecular dynamics applications on current high-end systems

Author(s):  
Joachim Hein ◽  
Fiona Reid ◽  
Lorna Smith ◽  
Ian Bush ◽  
Martyn Guest ◽  
...  

The effective exploitation of current high performance computing (HPC) platforms in molecular simulation relies on the ability of the present generation of parallel molecular dynamics code to make effective utilisation of these platforms and their components, including CPUs and memory. In this paper, we investigate the efficiency and scaling of a series of popular molecular dynamics codes on the UK's national HPC resources, an IBM p690+ cluster and an SGI Altix 3700. Focusing primarily on the Amber , Dl_Poly and Namd simulation codes, we demonstrate the major performance and scalability advantages that arise through a distributed, rather than a replicated data approach.

2017 ◽  
Vol 29 (3) ◽  
Author(s):  
Mabule Samuel Mabakane ◽  
Daniel Mojalefa Moeketsi ◽  
Anton Lopis

This paper presents a case study on the scalability of several versions of the molecular dynamics code (DL_POLY) performed on South Africa‘s Centre for High Performance Computing e1350 IBM Linux cluster, Sun system and Lengau supercomputers. Within this study different problem sizes were designed and the same chosen systems were employed in order to test the performance of DL_POLY using weak and strong scalability. It was found that the speed-up results for the small systems were better than large systems on both Ethernet and Infiniband network. However, simulations of large systems in DL_POLY performed well using Infiniband network on Lengau cluster as compared to e1350 and Sun supercomputer.


2016 ◽  
Vol 3 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Tingting Liu ◽  
Dong Lu ◽  
Hao Zhang ◽  
Mingyue Zheng ◽  
Huaiyu Yang ◽  
...  

Abstract In recent decades, high-performance computing (HPC) technologies and supercomputers in China have significantly advanced, resulting in remarkable achievements. Computational drug discovery and design, which is based on HPC and combines pharmaceutical chemistry and computational biology, has become a critical approach in drug research and development and is financially supported by the Chinese government. This approach has yielded a series of new algorithms in drug design, as well as new software and databases. This review mainly focuses on the application of HPC to the fields of drug discovery and molecular simulation at the Chinese Academy of Sciences, including virtual drug screening, molecular dynamics simulation, and protein folding. In addition, the potential future application of HPC in precision medicine is briefly discussed.


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