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| Content Provider | ACM Digital Library |
|---|---|
| Author | Cickovski, Trevor Slabach, Thomas Ma, Qun Raeder, Troy Ko, Alice Nyerges, Matthew Izaguirre, Jesús A. Matthey, Thierry Hampton, Scott |
| Copyright Year | 2004 |
| Abstract | ProtoMol is a high-performance framework in C++ for rapid prototyping of novel algorithms for molecular dynamics and related applications. Its flexibility is achieved primarily through the use of inheritance and design patterns (object-oriented programming). Performance is obtained by using templates that enable generation of efficient code for sections critical to performance (generic programming). The framework encapsulates important optimizations that can be used by developers, such as parallelism in the force computation. Its design is based on domain analysis of numerical integrators for molecular dynamics (MD) and of fast solvers for the force computation, particularly due to electrostatic interactions. Several new and efficient algorithms are implemented in ProtoMol. Finally, it is shown that ProtoMol's sequential performance is excellent when compared to a leading MD program, and that it scales well for moderate number of processors. Binaries and source codes for Windows, Linux, Solaris, IRIX, HP-UX, and AIX platforms are available under open source license at http://protomol.sourceforge.net. |
| Starting Page | 237 |
| Ending Page | 265 |
| Page Count | 29 |
| File Format | |
| ISSN | 00983500 |
| e-ISSN | 15577295 |
| DOI | 10.1145/1024074.1024075 |
| Volume Number | 30 |
| Issue Number | 3 |
| Journal | ACM Transactions on Mathematical Software (TOMS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2004-09-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Fast electrostatic methods Incremental parallelism Molecular dynamics Multigrid Multiple time-stepping integration Object-oriented framework. |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Software |
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