Abstract
MD is used to understand the temperature and pressure dependencies of dynamical concept in liquids, solids, and liquid–solid interfaces. It is a computer simulation method to visualize the behavior of atoms and molecules. MD simulation techniques are also well defined for understanding surface phenomena, as they give a qualitative understanding of surface structure and dynamics of particles filled in a box. Our work uses MD methods to better comprehend surface pressure and calculation of time they take to interact with one another. We aim to use OpenMP and OpenMP + SIMD directives in our code to reduce time complexities. The OpenMP directive is applied to a loop to indicate such that multiple iterations of the loop can be executed at the same time by using SIMD instructs. Our studies have indicated that using SIMD directives in OpenMP tend to yield faster speedups. According to our data for the given algorithm for a maximum of 800 particles, a speedup of 1.27 was achieved for OpenMP + SIMD against OpenMP alone. We will implement SIMD parallelization to Verlet’s algorithm used in MD calculations, such as updation and computation of position, velocity and acceleration. We also intend to bring out the percentage of error in total energy calculated in our work to convey the accuracy of the methods.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Hospital A, Goñi JR, Orozco M, Gelpí JL (2015) Molecular dynamics simulations: advances and applications. Adv Appl Bioinf Chem AABC 8:37
Pierce LC, Salomon-Ferrer R, de Augusto F, Oliveira C, McCammon JA, Walker RC (2012) Routine access to millisecond time scale events with accelerated molecular dynamics. J Chem Theory Comput 8(9):2997–3002
Sankey OF, Niklewski DJ (1989) Ab initio multicenter tight-binding model for molecular-dynamics simulations and other applications in covalent systems. Phys Rev B 40(6):3979
Martys NS, Mountain RD (1999) Velocity Verlet algorithm for dissipative-particle-dynamics-based models of suspensions. Phys Rev E 59(3):3733
Spreiter Q, Walter M (1999) Classical molecular dynamics simulation with the velocity Verlet algorithm at strong external magnetic field. J Comput Phys 152:102–119
Andersen HC (1983) Rattle: a “velocity” version of the shake algorithm for molecular dynamics calculations. J Comput Phys 52(1):24–34
Krone M, Stone JE, Ertl T, Schulten K (2012) Fast visualization of Gaussian density surfaces for molecular dynamics and particle system trajectories. EuroVis-Short Papers 2012:67–71
Saunders MR, Tute MS, Webb GA (1987) A theoretical study of angiotensin-converting enzyme inhibitors. J Comput Aided Mol Des 1(2):133–142
http://students.iitk.ac.in/projects/wiki/lib/exe/fetch.php?media=2014as:verlet.pdf
Walters JP, Balu V, Chaudhary V, Kofke D, Schultz A (2008) Accelerating molecular dynamics simulations with GPUs. In: ISCA PDCCS, pp 44–49
Brown WM, Wang P, Plimpton SJ, Tharrington AN (2011) Implementing molecular dynamics on hybrid high performance computers–short range forces. Comput Phys Commun 182(4):898–911
Salomon-Ferrer R, Götz AW, Poole D, Le Grand S, Walker RC (2013) Routine microsecond molecular dynamics simulations with AMBER on GPUs. Explicit solvent particle mesh Ewald. J Chem Theory Comput 9(9):3878–3888
Rahman TS (2002) Molecular‐dynamics simulation of surface phenomena. Charact Mater, 1–12
https://www.quora.com/Why-is-Molecular-Dynamics-Simulation-important-in-medicinal-biology
Vigonski S, Djurabekova F, Veske M, Aabloo A, Zadin V (2015) Molecular dynamics simulations of near-surface Fe precipitates in Cu under high electric fields. Modell Simul Mater Sci Eng 23(2):025009
Haile JM (1992) Molecular dynamics simulation: elementary methods, vol 1. Wiley, New York
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Khurpia, N., Roy, A., Goyal, S., Saira Banu, J. (2021). Simulation of MD Using OpenMP and OpenMP–SIMD. In: Rushi Kumar, B., Sivaraj, R., Prakash, J. (eds) Advances in Fluid Dynamics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-4308-1_40
Download citation
DOI: https://doi.org/10.1007/978-981-15-4308-1_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4307-4
Online ISBN: 978-981-15-4308-1
eBook Packages: EngineeringEngineering (R0)