“线性非绝热非径向波”脉动模型的性能改进

Mihai Ovidiu Tirsa, E. Slusanschi, M. Suran
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引用次数: 0

摘要

Aster地震学是天体物理学的一个新兴分支,它研究脉动恒星的内部和全局参数,基于它们的自然振荡频率。这项工作提出了不同的方法来提高LNAWENR(线性非绝热非径向波)的性能,LNAWENR是一个计算密集型的脉动模型,基于它们的地震特性来研究恒星。LNAWENR是国际天体物理学和空间科学界目前使用的几种非绝热模型之一,是ROMOSC的一部分。该模型用于研究NASA CoRoT任务的数据。改进后的版本旨在用于美国宇航局的开普勒任务。在这种情况下,我们采用了几个串行和并行代码优化。用于并行优化的编程框架是Open MP和Open CL。
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Performance Improvements for the "Linear Nonadiabatic Nonradial Waves" Pulsational Model
Aster seismology is an emerging branch of astrophysics that studies the interior and global parameters of pulsating stars, based on their natural oscillation frequency. This work proposes different methods for increasing the performance of LNAWENR (Linear Non Adiabatic Non Radial WavEs), a computational intensive pulsational model that studies stars based on their seismic properties. As part of the aster seismological package ROMOSC, LNAWENR is one of the several non-adiabatic models in use now by the international astrophysics and space science community. The model was implemented to study data from NASA's CoRoT mission. The improved version aims to be used for NASA's KEPLER mission. In this context, we employed several serial and parallel code optimizations. The programming frameworks used for the parallel optimizations are Open MP and Open CL.
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