@article {17930,
	title = {Parallel, stochastic measurement of molecular surface area},
	journal = {Journal of Molecular Graphics and Modelling},
	volume = {27},
	year = {2008},
	month = {2008/08//},
	pages = {82 - 87},
	abstract = {Biochemists often wish to compute surface areas of proteins. A variety of algorithms have been developed for this task, but they are designed for traditional single-processor architectures. The current trend in computer hardware is towards increasingly parallel architectures for which these algorithms are not well suited.We describe a parallel, stochastic algorithm for molecular surface area computation that maps well to the emerging multi-core architectures. Our algorithm is also progressive, providing a rough estimate of surface area immediately and refining this estimate as time goes on. Furthermore, the algorithm generates points on the molecular surface which can be used for point-based rendering.
We demonstrate a GPU implementation of our algorithm and show that it compares favorably with several existing molecular surface computation programs, giving fast estimates of the molecular surface area with good accuracy.
},
	keywords = {gpu, Molecular surface, Parallel, Progressive, Quasi-random, Stochastic},
	isbn = {1093-3263},
	doi = {10.1016/j.jmgm.2008.03.001},
	url = {http://www.sciencedirect.com/science/article/pii/S1093326308000387},
	author = {Juba,Derek and Varshney, Amitabh}
}
