Abstract
The design of efficient distributed applications depends on the coordinate use of different API (Application Programming Interface) like MPI and NT API’s. In fact, a particular optimized code can be reused in many other applications reducing the cost of its design by means of a set of libraries. Distributed processing is applied in remote sensing in order to reduce spatial or temporal cost using the message passing paradigm. In this paper, we present a workbench called DIPORSI, developed to provide a framework for the distributed processing of Landsat images using a cluster of NT workstations. Our application is based on a NT implementation (WMPI) of the MPI standard. Thus, the large amount of time required by the sequential processes drops when the parallel processing is used. Moreover, we have obtained a reduction of computation time over the 400% for large size images and a moderate number of parallel nodes. Our results confirm that cluster computing is a cost/performance effective solution to the remotely sensed image processing.
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References
Andersen, J.D., Digital Image Processing: A 1996 Review, Applied Parallel Computing-3rd International Workshop Para 96. LNCS 1184, Springer-Verlag (1996).
Baker, M., MPI on NT: The Current Status and Performance of Available Environments, EuroPVM-MPI’98, LNCS No. 1497, Springer-Verlag, (1998), pp 63–75.
Culler, D., Liu, L.T., Martin, R.P., Yoshikawa, C.O., Assessing Fast Network Interfaces, IEEE Micro, 16(1), (1996), pp 35–43.
Dasgupta, P., Parallel Processing with Windows NT Networks, Proc. of the USENIX Windows NT Workshop, August (1997).
Foster, I., Geisler, J., Gropp, W., Karonis, N., Lusk, E., Thiruvathukal, G., Tuecke, S., Wide-area Implementation of the Message Passing Interface, Parallel Computing, No. 24, (1998), pp 1735–1749.
Gallud, J.A., GarcÍa-Consuegra, J.D., SebastiÁn, G., Distributed Georeferring of Remotely Sensed LandSat-TM Imagery Using MPI, Para’98, LNCS No. 1541, Springer-Verlag (1998), pp 161–167.
Gropp, W., Lusk, E., Skellum, A., Using MPI Portable Parallel Programming with the Message Passing Interface, The MIT Press, (1994).
Hoffman, F.M., Hargrove, W.W., Multivariate Geographic Clustering Using a Beowulf-style Computer, PDPTA’99, Las Vegas (USA), (1999).
Lee, C., Hamdi, M., Parallel Image Processing Applications on a Network of Workstations, Parallel Computing, No. 21, (1998), pp 137–160.
Lillesand, T.M., Kiefer, R.W., Remote Sensing and Image Interpretation 2nd Edition, J.Wiley & Sons.
Markham, B.L., The Landsat Sensors’ Spatial Responses, IEEE Transactions on Geoscience and Remote Sensing, Vol. GE-23 No. 6, (1986).
Mather, P.M. Computer Processing of Remotely-Sensed Images, John Wiley & Sons.
McCormick, J.A., Alter-Gartenberg, R., Huck, F.O., Image Gathering and Restoration: Information and Visual Quality, Journal of Optical Society of America, Vol 6 No. 7, (1989), pp 987–1005.
Piernas, J., Flores, A., García, J.M., Analyzing the Performance of MPI in a Cluster of Workstation Based on Fast Ethernet, EuroPVM-MPI’98, LNCS No. 1497, Springer-Verlag (1998), pp 63–75.
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Gallud, J.A., García, J.M., García-Consuegra, J. (1999). Cluster Computing Using MPI and Windows NT to Solve the Processing of Remotely Sensed Imagery. In: Dongarra, J., Luque, E., Margalef, T. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 1999. Lecture Notes in Computer Science, vol 1697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48158-3_55
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DOI: https://doi.org/10.1007/3-540-48158-3_55
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