VIS Keynote Address: Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at Extreme Scale

Jacqueline H. Chen
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Abstract

Combustion and turbulence simulations involve highly intermittent localized phenomena that generate high volumes of spatially and temporally varying field and particle data. The current paradigm of posthoc analysis and visualization will become increasingly infeasible as data volumes continue to increase. In the exascale era this problem will be further exacerbated by the difficulty of moving large volumes of data through deep complex memory hierarchies and across the machine network to hard disks on a heterogeneous supercomputer. I will discuss recent advances in in situ massively parallel volume and particle visualization algorithms coupled with analytics - e.g., topological feature segmentation/tracking, distance field construction, multi-variate statistics and eigensolutions of the reaction rate Jacobian - as an integral part of a scientific discovery from high-fidelity combustion simulations. The role of asynchronous task based programming models and runtimes to facilitate an extensible, performance portable computational science workflow at extreme scale will also be discussed in the context of recent turbulent ignition simulations.
VIS主题演讲:分析启发的可视化:极端规模的整体现场科学工作流程
燃烧和湍流模拟涉及高度间歇的局部现象,产生大量空间和时间变化的场和粒子数据。随着数据量的不断增加,目前的后期分析和可视化范式将变得越来越不可行。在百亿亿次时代,将大量数据通过深层复杂的内存层次和跨机器网络移动到异构超级计算机的硬盘上的困难将进一步加剧这个问题。我将讨论与分析相结合的原位大规模并行体积和颗粒可视化算法的最新进展-例如,拓扑特征分割/跟踪,距离场构建,多变量统计和反应速率雅可比矩阵的特征解-作为高保真燃烧模拟的科学发现的一个组成部分。在最近的湍流点火模拟中,还将讨论基于异步任务的编程模型和运行时在促进可扩展、性能可移植的极端规模计算科学工作流中的作用。
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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