Solving the Linearized Poisson-Boltzmann Equation on GPUs Using CUDA

José Colmenares, Jesús Ortiz, S. Decherchi, A. Fijany, W. Rocchia
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引用次数: 6

Abstract

In this work an implementation of a linearized Poisson-Boltzmann equation solver based on a Finite Differences scheme on the GPU architecture is presented. The algorithm exploits the checkerboard structure of the discretized Laplace operator and follows the footprints of a popular solver called DelPhi, which is widely used in the Computational Biology community. The algorithm has been implemented using CUDA. This implementation has then been integrated with the DelPhi solver and tested over a few representative cases of biological interest. Details of the implementation as well as performance test results are illustrated.
基于CUDA在gpu上求解线性化泊松-玻尔兹曼方程
在这项工作中,提出了基于GPU架构的有限差分格式的线性化泊松-玻尔兹曼方程求解器的实现。该算法利用了离散拉普拉斯算子的棋盘结构,并遵循了在计算生物学社区广泛使用的流行求解器DelPhi的足迹。该算法已在CUDA上实现。该实现随后与DelPhi求解器集成,并在几个具有生物学意义的代表性案例上进行了测试。文中给出了实现的细节和性能测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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