Concurrent visualization in a production supercomputing environment
Concurrent visualization in a production supercomputing environment
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DOI：
10.1109/tvcg.2006.128
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发表时间：
2006-09-01
影响因子：
5.2
通讯作者：
Sandstrom, Timothy
中科院分区：
文献类型：
--
作者：
Ellsworth, David;Green, Bryan;Sandstrom, Timothy
我们描述了一个并发可视化管道设计的生产超级计算环境中的操作。大规模并行预测模型（GEOS4）。在2005年大西洋飓风季期间，GEOS4在严格的时间限制下每天运行4次，以便其输出可以包含在向国家飓风中心预报员提供的集合预报中。鉴于这种时间关键的上下文，我们设计了一个可配置的并发管道来可视化多个全局字段，而不会显着影响运行时模型的性能或可靠性。我们使用MPEG压缩的累积图像，以促进多个可视化流到远程站点的实时低带宽分布。我们还描述了使用我们的并发可视化框架与全球海洋环流模型，它提供了一个864倍的时间分辨率的实际可实现的动画增加。在大气和海洋环流模型中，应用科学家们对他们的模型动力学有了新的认识，这是因为他们可以获得高时间分辨率的动画。
We describe a concurrent visualization pipeline designed for operation in a production supercomputing environment. supercomputer for a massively parallel forecast model (GEOS4). During the 2005 Atlantic hurricane season, GEOS4 was run 4 times a day under tight time constraints so that its output could be included in an ensemble prediction that was made available to forecasters at the National Hurricane Center. Given this time-critical context, we designed a configurable concurrent pipeline to visualize multiple global fields without significantly affecting the runtime model performance or reliability. We use MPEG compression of the accruing images to facilitate live low-bandwidth distribution of multiple visualization streams to remote sites. We also describe the use of our concurrent visualization framework with a global ocean circulation model, which provides a 864-fold increase in the temporal resolution of practically achievable animations. In both the atmospheric and oceanic circulation models, the application scientists gained new insights into their model dynamics, due to the high temporal resolution animations attainable.