Cluster computing using MPI and windows NT to solve the processing of remotely sensed imagery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1697, Issue , 1999, Pages 442-449

  Gallud, J A ^a   Garcia J M ^b   Garcia Consuegra J ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF MURCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); CLUSTER COMPUTING; COMPUTER ARCHITECTURE; COST REDUCTION; COSTS; DISTRIBUTED COMPUTER SYSTEMS; IMAGE PROCESSING; REMOTE SENSING;

DISTRIBUTED APPLICATIONS; DISTRIBUTED PROCESSING; EFFECTIVE SOLUTION; MESSAGE PASSING PARADIGMS; PARALLEL PROCESSING; REMOTELY SENSED IMAGERY; REMOTELY SENSED IMAGES; SEQUENTIAL PROCESS;

MESSAGE PASSING;

EID: 84947583195     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48158-3_55     Document Type: Conference Paper

References (14)

1. Andersen, J.D., Digital Image Processing: A 1996 Review, Applied Parallel Computing - 3rd International Workshop Para 96. LNCS 1184, Springer-Verlag (1996).
2. Baker, M., MPI on NT: The Current Status and Performance of Available Envi- ronments, EuroPVM-MPI'98, LNCS No. 1497, Springer-Verlag, (1998), pp 63-75.
3. Culler, D., Liu, L.T., Martin, R.P., Yoshikawa, C.O., Assessing Fast Net- work Interfaces, IEEE Micro, 16(1), (1996), pp 35-43.
4. Dasgupta, P., Parallel Processing with Windows NT Networks, Proc. of the USENIX Windows NT Workshop, August (1997).
5. Foster, I., Geisler, J., Gropp, W., Karonis, N., Lusk, E., Thiruvathukal, G., Tuecke, S., Wide-area Implementation of the Message Passing Interface, Par-allel Computing, No. 24, (1998), pp 1735-1749.
6. Gallud, J.A., García-Consuegra, J.D., Sebastián, G., Distributed Georefer-ring of Remotely Sensed LandSat-TM Imagery Using MPI, Para'98, LNCS No. 1541, Springer-Verlag (1998), pp 161-167.
7. Gropp, W., Lusk, E., Skellum, A., Using MPI Portable Parallel Programming with the Message Passing Interface, The MIT Press, (1994).
8. Hoffman, F.M., Hargrove, W.W., Multivariate Geographic Clustering Using a Beowulf-style Computer, PDPTA'99, Las Vegas (USA), (1999).
9. Lee, C., Hamdi, M., Parallel Image Processing Applications on a Network of Workstations, Parallel Computing, No. 21, (1998), pp 137-160.
10. Lillesand, T.M., Kiefer, R.W., Remote Sensing and Image Interpretation 2nd Edition, J. Wiley & Sons.
11. Markham, B.L., The Landsat Sensors' Spatial Responses, IEEE Transactions on Geoscience and Remote Sensing, Vol. GE-23 No. 6, (1986).
12. Mather, P.M. Computer Processing of Remotely-Sensed Images, John Wiley & Sons.
13. McCormick, J.A., Alter-Gartenberg, R., Huck, F.O., Image Gathering and Restoration: Information and Visual Quality, Journal of Optical Society of Amer-ica, Vol 6 No. 7, (1989), pp 987-1005.
14. 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.