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| Content Provider | ACM Digital Library |
|---|---|
| Author | Beazley, David M. Lomdahl, Peter S. |
| Abstract | We present a computational steering approach for controlling, analyzing, and visualizing very large scale molecular dynamics simulations involving tens to hundreds of millions of atoms. Our approach relies on extensible scripting languages and an easy to use tool for building extensions and modules. The system is extremely easy to modify, works with existing C code, is memory efficient, and can be used from inexpensive workstations and networks. We demonstrate how we have used this system to manipulate data from production MD simulations involving as many as 104 million atoms running on the CM-5 and Cray T3D. We also show how this approach can be used to build systems that integrate common scripting languages (including Tcl/Tk, Perl, and Python), simulation code, user extensions, and commercial data analysis packages. |
| File Format | |
| ISBN | 0897918541 |
| DOI | 10.1145/369028.369136 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1996-11-17 |
| Access Restriction | Subscribed |
| Subject Keyword | Molecular dynamics data analysis large-scale simulation steering scripting languages visualization parallel computing spasm swig |
| Content Type | Text |
| Resource Type | Article |
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