GPU linear and non-linear poisson-boltzmann solver module for delphi

11Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Summary: In this work, we present a CUDA-based GPU implementation of a Poisson-Boltzmann equation solver, in both the linear and non-linear versions, using double precision. A finite difference scheme is adopted and made suitable for the GPU architecture. The resulting code was interfaced with the electrostatics software for biomolecules DelPhi, which is widely used in the computational biology community. The algorithm has been implemented using CUDA and tested over a few representative cases of biological interest. Details of the implementation and performance test results are illustrated. A speedup of ∼10 times was achieved both in the linear and non-linear cases.Availability and implementation: The module is open-source and available at http://www.electrostaticszone.eu/index.php/downloads.Contact: Supplementary information: Supplementary data are available at Bioinformatics online © 2013 The Author.

Cite

CITATION STYLE

APA

Colmenares, J., Ortiz, J., & Rocchia, W. (2014). GPU linear and non-linear poisson-boltzmann solver module for delphi. Bioinformatics, 30(4), 569–570. https://doi.org/10.1093/bioinformatics/btt699

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free