A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics

M. Slawinska, Michael Clark, M. Wolf, Tanja Bode, Hongbo Zou, P. Laguna, Jeremy S. Logan, Matthew Kinsey, S. Klasky
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引用次数: 11

Abstract

There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering.
玛雅用例:适用于广义相对论天体物理学的ADIOS科学工作流程
在分析和可视化当前前沿的广义相对论天体物理模拟数据方面存在许多挑战。由于数据的规模和复杂性,许多相关的任务都很耗时,性能也会大幅下降。适应性I/O系统(ADIOS)是I/O层的组件化,它已经证明了在领导级机器上运行的应用程序的显著I/O性能改进,同时还提供了新的内存“登台”操作,用于原位转换数据。我们已经将ADIOS分期技术整合到基于Cactus基础设施和Carpet网格优化的Maya数值相关性代码中。将ADIOS纳入玛雅代码是第一步,使更具适应性的玛雅工作流程。我们描述了我们打算如何利用FlexPath(一种ADIOS传输方法)在实时可视化和交互式转向中提供更丰富的用户体验。
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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