从模拟到交互式数值实验室

A. Szalay
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引用次数: 3

摘要

高性能计算本身正在成为一种工具。在我们的超级计算机上进行的最大的模拟现在接近pb。随着这些模拟量的增长,访问、分析和可视化这些数据变得越来越困难。同时,为了广泛的社区参与,我们需要向公众提供一些模拟结果。这正在成为另一个大数据挑战,我们必须将分析和可视化转移到数据所在的位置。本文将讨论创建这种交互式数值实验室的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From simulations to interactive numerical laboratories
High Performance Computing is becoming an instrument in its own right. The largest simulations performed on our supercomputers are now approaching petabytes. As the volume of these simulations is growing, it is becoming harder to access, analyze and visualize these data. At the same time for a broad community buy in we need to provide public access to some of the simulation results. This is becoming another Big Data challenge, where we have to move the analyses and visualizations right where the data is. The paper will discuss the challenges in creating such interactive numerical laboratories.
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