Name
Abstract | ||
|---|---|---|
GPU-enabled simulation of fully atomistic macromolecular systems is rapidly gaining momentum, enabled by massive parallelism and the parallelizability of various components of the underlying algorithms and methodologies. Here, we consider key aspects required for obtaining realistic macromolecular systems specifically adapted to GPUs; these aspects include realistic mathematical models and valid simulations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MCSE.2012.42 | Computing in Science and Engineering |
Keywords | Field | DocType |
biology computing,graphics processing units,macromolecules,mathematical analysis,GPU-enabled macromolecular simulation,atomistic macromolecular systems,realistic macromolecular systems,realistic mathematical models,GPU computing,biomacromolecular structure and function,molecular dynamics,scientific computing | Kernel (linear algebra),Computer science,Massively parallel,Theoretical computer science,Computational science,General-purpose computing on graphics processing units,Momentum,Mathematical model,Graphics processing unit | Journal |
Volume | Issue | ISSN |
15 | 1 | 1521-9615 |
Citations | PageRank | References |
7 | 0.59 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| michela taufer | 1 | 352 | 53.04 |
| Narayan Ganesan | 2 | 51 | 6.61 |
| Sandeep Patel | 3 | 107 | 12.96 |