An efficient algorithm for the compression of time-dependent data from scientific simulations

  • Authors:

  • Chuang Li;Paul E. Plassmann

  • Affiliations:

  • Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA;Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA

  • Venue:
  • ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
  • Year:
  • 2003

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Abstract

The efficient storage of simulation data obtained from the solution of time-dependent scientific models represents a significant issue in large-scale computing. One approach to storing this data is to use a mesh independent, or functional, representation of the simulation data. The implementation of such an approach requires an efficient means of computing a functional representation. In this paper, we present a new algorithm for computing this representation that guarantees that a user-specified pointwise error bound is satisfied by the functional approximation. This approach is based on a weighted least squares method to approximate the minimax solution for multi-dimensional simulation data. We present experimental results that demonstrate that this method can be used to efficiently compute the functional representation of large-scale, multi-dimensional data.