Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data
Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data
复制标题
用于科学模拟数据可视化的时空小波压缩
DOI：
10.1109/cluster.2017.15
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
H. Childs
中科院分区：
文献类型：
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作者：
Shaomeng Li;Sudhanshu Sane;Leigh Orf;P. Mininni;J. Clyne;H. Childs
通过压缩来减少数据是一种很有前途的方法，可以降低超级计算机上仿真代码的I/O成本。通常，这种压缩是通过对各个时间片进行操作的技术来实现的。然而，随着模拟代码在时间上的推进，随着它们的进行输出多个时间片，结合时间维度的压缩的机会尚未被广泛探索。此外，最近的超级计算机越来越多地配备有更深的存储器层次结构，包括固态驱动器和突发缓冲器，这创造了临时存储多个时间片然后一次性对它们应用压缩的机会，即，时空压缩本文探讨了将时间维度纳入现有小波压缩的好处，包括研究其关键参数，并在三个轴：存储，精度和时间分辨率证明其好处。我们的研究结果表明，时间压缩可以提高这些轴，并对性能的影响，真实的系统，包括在内存使用和执行时间的权衡，是可以接受的。我们还展示了时空小波压缩与现实世界的可视化用例和定制的评估指标的好处。
Data reduction through compression is emerging as a promising approach to ease I/O costs for simulation codes on supercomputers. Typically, this compression is achieved by techniques that operate on individual time slices. However, as simulation codes advance in time, outputting multiple time slices as they go, the opportunity for compression incorporating the time dimension has not been extensively explored. Moreover, recent supercomputers are increasingly equipped with deeper memory hierarchies, including solid state drives and burst buffers, which creates the opportunity to temporarily store multiple time slices and then apply compression to them all at once, i.e., spatiotemporal compression. This paper explores the benefits of incorporating the time dimension into existing wavelet compression, including studying its key parameters and demonstrating its benefits in three axes: storage, accuracy, and temporal resolution. Our results demonstrate that temporal compression can improve each of these axes, and that the impact on performance for real systems, including tradeoffs in memory usage and execution time, is acceptable. We also demonstrate the benefits of spatiotemporal wavelet compression with real-world visualization use cases and tailored evaluation metrics.