Parallel computational techniques for the analysis of sedimentation velocity experiments in UltraScan
Parallel computational techniques for the analysis of sedimentation velocity experiments in UltraScan
复制标题
DOI：
10.1007/s00396-007-1714-9
复制
发表时间：
2008-02-01
影响因子：
2.4
通讯作者：
Demeler, Borries
中科院分区：
文献类型：
--
作者：
Brookes, Emre;Demeler, Borries
并行计算技术和低成本计算硬件的出现促进了采用高性能计算工具来分析沉积数据。在过去的15年中，我们开发了UltraScan软件（Demeler等人，http://ultrascan.uthscsa.edu）以支持沉降分析、实验设计和数据管理。我们在这里描述最近的扩展和进步的方法，已适应UltraScan。利用网格计算技术在并行超级计算机上实现的高性能计算方法用于以比以前可能的高得多的分辨率分析沉降实验。我们讨论了并行计算的实现在UltraScan中使用的三种新的算法建模的沉积速度实验，并提供有效的数据分析的指导方针。
The advent of parallel computing technology and low-cost computing hardware has facilitated the adoption of high-performance computing tools for the analysis of sedimentation data. Over the past 15 years, we have developed the UltraScan software (Demeler et al., http://ultrascan.uthscsa.edu) to support sedimentation analysis, experimental design, and data management. We describe here recent extensions and advances in methodology that have been adapted in UltraScan. High-performance computing methods implemented on parallel supercomputers utilizing grid computing technology are used to analyze sedimentation experiments at much higher resolution than was previously possible. We discuss the implementation of parallel computing in three novel algorithms used in UltraScan for modeling of sedimentation velocity experiments and provide guidelines for effective data analysis.