Regardless of its origin, in the near future the challenge will not be how to generate data, but rather how to manage big and highly distributed data to make it more easily handled and more accessible by users on their personal devices. VELaSSCo (Visualization for Extremely Large-Scale Scientific Computing) is a platform developed to provide new visual analysis methods for large-scale simulations serving the petabyte era. The platform adopts Big Data tools/architectures to enable in-situ processing for analytics of engineering and scientific data and hardware-accelerated interactive visualization. In large-scale simulations, the domain is partitioned across several thousand nodes, and the data (mesh and results) are stored on those nodes in a distributed manner. The VELaSSCo platform accesses this distributed information, processes the raw data, and returns the results to the users for local visualization by their specific visualization clients and tools. The global goal of VELaSSCo is to provide Big Data tools for the engineering and scientific community, in order to better manipulate simulations with billions of distributed records. The ability to easily handle large amounts of data will also enable larger, higher resolution simulations, which will allow the scientific and engineering communities to garner new knowledge from simulations previously considered too large to handle. This paper shows, by means of selected Discrete Element Method (DEM) simulation use cases, that the VELaSSCo platform facilitates distributed post-processing and visualization of large engineering datasets.

中文翻译：

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使用开源 VELaSSCo 平台对大规模 DEM 模拟数据进行后处理和可视化

不管它的来源如何，在不久的将来，挑战将不是如何生成数据，而是如何管理高度分散的大数据，使其更容易被用户在个人设备上处理和访问。VELaSSCo（超大规模科学计算可视化）是一个平台，旨在为服务于 PB 时代的大规模模拟提供新的可视化分析方法。该平台采用大数据工具/架构来实现工程和科学数据分析以及硬件加速交互式可视化的原位处理。在大规模模拟中，域被划分为数千个节点，数据（网格和结果）以分布式方式存储在这些节点上。VELaSSCo 平台访问这些分布式信息，处理原始数据，并通过特定的可视化客户端和工具将结果返回给用户进行本地可视化。VELaSSCo 的全球目标是为工程和科学界提供大数据工具，以便更好地操纵具有数十亿分布式记录的模拟。轻松处理大量数据的能力还将支持更大、更高分辨率的模拟，这将使科学和工程界能够从以前认为太大而无法处理的模拟中获取新知识。本文通过选定的离散元方法 (DEM) 模拟用例表明，VELaSSCo 平台有助于大型工程数据集的分布式后处理和可视化。