GAAS: GPU 加速吸收模拟器

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Charles S. Callahan, Sean M. Bresler, Sean C. Coburn, David A. Long, Gregory B. Rieker
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引用次数: 0

摘要

解释测量的吸收光谱数据可能需要重复模拟预期的吸收光谱来拟合数据。在高温或宽带光谱的情况下,光谱分析的计算负荷可能是昂贵的,因为大量的单个吸收跃迁有助于每个模拟。我们提出了一个图形处理单元(GPU)加速吸收模拟器(GAAS) -一个快速,硬件加速,逐行吸收模拟软件,用于生成基于Voigt和Hartmann-Tran线形轮廓的吸收光谱。研究表明,GAAS产生的输出光谱与高分辨率透射分子吸收数据库(HITRAN)应用程序编程接口(HAPI)相同,基于Voigt和Hartmann-Tran谱图的光谱的数值精度在32位以内。与HAPI相比,我们还测量了性能的提高,并证明对于包含许多(数千或更多)吸收跃迁的光谱,GAAS可以将模拟时间减少多达115倍。该软件是作为一个开源python库提供的,它是围绕Voigt和Hartmann-Tran线形函数的OpenCL实现构建的。GAAS可以在各种GPU硬件上运行,包括大多数计算机上的集成GPU和高性能外部GPU。它作为一个独立的Python库安装,使其易于访问和使用许多应用程序。GAAS将使研究人员能够更有效地分析复杂光谱,特别是使用先进的线形状,最终提高复杂光谱测量的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GAAS: GPU accelerated absorption simulator
Interpreting measured absorption spectroscopy data can require repeated simulations of the expected absorption spectrum to fit the data. In cases of high temperature or broadband spectra, the computational load of the spectral analysis can be expensive due to the large number of individual absorption transitions that contribute to each simulation. We present a Graphics Processing Unit (GPU) Accelerated Absorption Simulator (GAAS) – a fast, hardware-accelerated, line-by-line absorption simulation software for generating absorption spectra based on Voigt and Hartmann-Tran lineshape profiles. We show that GAAS produces the same output spectra as the high-resolution transmission molecular absorption database (HITRAN) Application Programming Interface (HAPI) to within 32-bits of numerical precision for spectra based on both Voigt and Hartmann-Tran profiles. We also measure the performance increase compared to HAPI and demonstrate that GAAS can reduce simulation time by up to 115x for spectra containing many (several thousand or more) absorption transitions. The software is provided as an open-source python library which is built around an OpenCL implementation of the Voigt and Hartmann-Tran lineshape functions. GAAS can be run on a variety of GPU hardware including integrated GPUs on most computers and high-performance external GPUs. It is installed as a standalone Python library, making it accessible and easy to use for many applications. GAAS will enable researchers to more efficiently analyze complex spectra, especially using advanced lineshapes, to ultimately increase the accuracy of complex spectroscopic measurements.
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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