In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies differential equation models with unknown initial conditions and source terms. A physical example of the problem we are attempting to solve is a major waste spill near a body of water. This can be, for example, near an aquifer, or possibly in a river or bay. Sensors can be used to measure where the contaminant was spilled, where it is, and where it will go. In this paper, we propose techniques for improving predictions by estimating initial conditions and source terms. We show how well we can solve the problem for a variety of data-driven models.

P Vh4 is an inexpensive, but extremely effective tool which allows a researcher to use workstations as nodes in a parallel processing environment to perform largescale computations.The numerical approximation and visualization of seismic waves propagating in the earth strains today's largest supercomputers.We present timings and visualization for large earth models run on a ring of IBM RS/6000's which illustrate P VM'S capability of handling large-scale problems.We will show that PVM can effectively compete with traditional supercomputers.Any researcher with accounts on UNIX-based workstations can corral unused CPU cycles to solve large-scale problems.

Article Free AccessVector/parallel implementation of a porous media flow code Share on Authors: R. Ewing Institute for Scientific Computation, University of Wyoming, Laramie, Wyoming Institute for Scientific Computation, University of Wyoming, Laramie, WyomingView Profile , P. O'Leary Institute for Scientific Computation, University of Wyoming, Laramie, Wyoming Institute for Scientific Computation, University of Wyoming, Laramie, WyomingView Profile , J. Sochacki Institute for Scientific Computation, University of Wyoming, Laramie, Wyoming Institute for Scientific Computation, University of Wyoming, Laramie, WyomingView Profile Authors Info & Claims Supercomputing '91: Proceedings of the 1991 ACM/IEEE conference on SupercomputingAugust 1991 Pages 294–303https://doi.org/10.1145/125826.125997Online:01 August 1991Publication History 0citation317DownloadsMetricsTotal Citations0Total Downloads317Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF