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基于最优内插预测的科学数据压缩方法
引用本文:吴国清,陈虹,徐小文.基于最优内插预测的科学数据压缩方法[J].计算机科学,2007,34(8):15-17.
作者姓名:吴国清  陈虹  徐小文
作者单位:1. 中国工程物理研究院研究生部,北京100088;北京应用物理与计算数学研究所高性能计算中心,北京100088
2. 北京应用物理与计算数学研究所高性能计算中心,北京100088
基金项目:中国工程物理研究院科学技术资金资助课题
摘    要:在海量科学数据存储和传输压力愈来愈大的背景下,我们针对结构网格离散的科学计算数据,研究了基于二维9点、三维27点最优内插预测的科学数据压缩方法.数值实验表明该方法大大优于现有的压缩算法,可以较好地解决科学计算数据的压缩存储问题.

关 键 词:数据压缩  预测编码  科学数据  线性方程组

Scientific Data Compression Method Based on Optimized Interpolate Predition
WU Guo-Qing,CHEN Hong,XU Xiao-Wen.Scientific Data Compression Method Based on Optimized Interpolate Predition[J].Computer Science,2007,34(8):15-17.
Authors:WU Guo-Qing  CHEN Hong  XU Xiao-Wen
Affiliation:1.Graduate School of Chinese Academic Engineering Physics, Beijing 100088; 2.High Performance Computing Center, Institute of Applied Physics and Computational Mathematics, Beijing 100088
Abstract:Application in scientific computing often operate with large volume of output and input data, the space required for data storage and data transfer over communication networks are bottleneck in scientific computing. In the paper,we present a compression method based on optimized prediction operator which applied to structured scientific data.the proposed approach may be used both for lossy and lossless compression and is well suited for scalar fields. Numerical results indicate that our method successfully outperforms universal compression algorithm greatly.
Keywords:Prediction operator  Scientific data compression  Linear equations
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