Fast Method for Calculating RMSD Using GPUs
Author Information
Author(s): Hung Ling-Hong, Guerquin Michal, Samudrala Ram
Primary Institution: Department of Microbiology, University of Washington, Seattle WA USA
Hypothesis
The GPU-Q-J method will significantly speed up RMSD calculations compared to traditional CPU methods.
Conclusion
GPU-Q-J is a significant advance over previous CPU methods, allowing for much faster clustering of large numbers of protein structures.
Supporting Evidence
- The GPU method was 260 times faster than the fastest existing CPU method.
- GPU-Q-J can process large datasets quickly, relieving bottlenecks in structural comparisons.
- The method is suitable for applications involving genome-wide structural comparisons.
Takeaway
This study shows a new way to quickly compare protein structures using powerful graphics cards, making it much faster than older methods.
Methodology
The GPU-Q-J method was implemented on an ATI 4770 graphics card and compared against various CPU methods for calculating RMSD.
Limitations
The study primarily focuses on the speed of calculations and does not address the accuracy of the results in detail.
Digital Object Identifier (DOI)
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