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Feeding a Large-scale Physics Application to Python (1997)
| Venue: | In 6th International Python Conference |
| Citations: | 12 - 1 self |
BibTeX
@INPROCEEDINGS{Beazley97feedinga,
author = {David M. Beazley and Peter S. Lomdahl},
title = {Feeding a Large-scale Physics Application to Python},
booktitle = {In 6th International Python Conference},
year = {1997},
pages = {21--28}
}
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Abstract
We describe our experiences using Python with the SPaSM molecular dynamics code at Los Alamos National Laboratory. Originally developed as a large monolithic application for massively parallel processing systems, we have used Python to transform our application into a flexible, highly modular, and extremely powerful system for performing simulation, data analysis, and visualization. In addition, we describe how Python has solved a number of important problems related to the development, debugging, deployment, and maintenance of scientific software. 1 Background For the past 5 years, we have been developing a largescale physics code for performing molecular-dynamics simulations of materials. This code, SPaSM (Scalable Parallel Short-range Molecular-dynamics), was originally developed for the Connection Machine 5 massively parallel supercomputing system and later moved to a number of other machines including the Cray T3D, multiprocessor Sun and SGI systems, and Unix workstations [1, 2]....
Keyphrases
large-scale physic application scientific software los alamo national laboratory data analysis unix workstation large monolithic application sgi system spasm molecular dynamic code scalable parallel short-range molecular-dynamics powerful system important problem largescale physic code cray t3d multiprocessor sun molecular-dynamics simulation connection machine
