染色体凝聚分子动力学模拟的优化

T. Law, Jonny Hancox, Tammy M. K. Cheng, Raphael A. G. Chaleil, Steven A. Wright, P. Bates, S. Jarvis
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引用次数: 0

摘要

我们目前的优化应用于定制的生物物理分子动力学模拟,旨在研究染色体凝聚。我们的主要重点是特定领域的算法改进,以确定粒子之间的短程相互作用力,因为模拟的某些特性使传统方法不那么有效。我们为传统CPU架构和Intel Xeon Phi协处理器中的现代多核架构实现了优化版本的代码,并比较了它们的有效性。我们实现了比原始代码高10倍的加速,促进了更详细和更大规模的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation of a Molecular Dynamics Simulation of Chromosome Condensation
We present optimisations applied to a bespoke bio-physical molecular dynamics simulation designed to investigate chromosome condensation. Our primary focus is on domain-specific algorithmic improvements to determining short-range interaction forces between particles, as certain qualities of the simulation render traditional methods less effective. We implement tuned versions of the code for both traditional CPU architectures and the modern many-core architecture found in the Intel Xeon Phi coprocessor and compare their effectiveness. We achieve speed-ups starting at a factor of 10 over the original code, facilitating more detailed and larger-scale experiments.
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