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Convergence and time to solution of PyGBe with lysozyme molecule

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This file bundle includes data, figures and plotting scripts of convergence and time-to-solution versus error for PyGBe and APBS using a lysozyme molecule.

Description

The errors were calculated with respect to the corresponding extrapolated values (obtained from Richardson extrapolation). This result is part of the paper: —"A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers", Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba.

Comput. Phys. Comm. , 185 (3):720–729 (March 2014). 10.1016/j.cpc.2013.10.028 // Preprint arXiv:1309.4018 PyGBe solves biomolecular electrostatics problems using an implicit-solvent model (Poisson-Boltzmann) and it uses GPU hardware for fast execution.

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It is written in Python, PyCUDA and CUDA. More information about the PyGBe code in: —Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods . Christopher Cooper, Lorena A. Barba. figshare. dx.doi.org/10.6084/m9.figshare.154331 Acknowledgement: This research is made possible by support from the Office of Naval Research, Applied Computational Analysis Program, N00014-11-1-0356.

LAB also acknowledges support from NSF CAREER award OCI-1149784.

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