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| Content Provider | ACM Digital Library |
|---|---|
| Author | Nugawela, Dulma Garashchuk, Sophya Krstic, Predrag Irle, Stephan Hadri, Bilel Stuart, Steven J. Jakowski, Jacek |
| Abstract | Carbon materials and nanostructures (fullerenes, nanotubes) are promising building blocks of nanotechnology. Potential applications include optical and electronic devices, sensors, and nano-scale machines. The multiscale character of processes related to fabrication and physics of such materials requires using a combination of different approaches such as (a) classical dynamics, (b) direct Born-Oppenheimer dynamics, (c) quantum dynamics for electrons and (d) quantum dynamics for selected nuclei. We describe our effort on optimization of classical reactive molecular dynamics and density-functional tight binding method, which is a core method in our direct and quantum dynamics studies. We find that optimization is critical for efficient use of high-end machines. Choosing the optimal configuration for the numerical library and compilers can result in four-fold speedup of direct dynamics as compared with default programming environment. The integration algorithm and parallelization approach must also be tailored for the computing environment. The efficacy of possible choices is discussed. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450316026 |
| DOI | 10.1145/2335755.2335832 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-07-16 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | High-throughput Blas Material science Quantum chemistry Molecular dynamics Scientific libraries Scientific-computing Density-functional tight binding Cray xt5 Lapack Multiscale-modeling Acm proceedings Linear algebra Advanced materials |
| Content Type | Text |
| Resource Type | Article |
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