原位小波压缩对科学模拟性能的影响

Shaomeng Li, Matthew Larsen, J. Clyne, H. Childs
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引用次数: 11

摘要

原位压缩是传统的即时可视化和新兴的原位可视化分析之间的折衷。虽然各种压缩机选择的优点和局限性已经得到了很好的研究,但它们对科学模拟的性能影响还不太清楚,特别是在大型超级计算机系统上。本研究通过在领先的超级计算机系统上进行原位压缩实验填补了这一空白。更具体地说,我们测量了有损小波压缩器的计算和I/O影响,并分析了各种原位处理问题的结果。我们相信这项研究提供了对原位压缩的更好理解,以及支持其可行性的新证据,特别是对小波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations
In situ compression is a compromise between traditional post hoc and emerging in situ visualization and analysis. While the merits and limitations of various compressor options have been well studied, their performance impacts on scientific simulations are less clear, especially on large scale supercomputer systems. This study fills in this gap by performing in situ compression experiments on a leading supercomputer system. More specifically, we measured the computational and I/O impacts of a lossy wavelet compressor and analyzed the results with respect to various in situ processing concerns. We believe this study provides a better understanding of in situ compression as well as new evidence supporting its viability, in particular for wavelets.
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