The use of PVM with workstation clusters for distributed SAR data processing

The Synthetic Aperture Radar (SAR) is an active sensor widely used in remote sensing to obtain high resolution ground images from the back-scattered echo signals. When a digital processing is performed, a high computational load is involved and hw/sw solutions based on both specialized and general pupose machines can be exploited to speedup the image focusing algorithm. A more economical solution based on cluster of workstations is presented. The performance results of the version 1.0 of our distributed SAR processor achieved on a homogeneous cluster of IBM RISC System 6000/360 under PVM are reported.

[1]  Sauro Succi,et al.  Lattice Boltzmann method on a cluster of IBM RISC system/6000 workstations , 1993, Concurr. Pract. Exp..

[2]  Nicola Veneziani,et al.  A concurrent implementation of the prime factor algorithm on hypercube , 1991, IEEE Trans. Signal Process..

[3]  Tao Yang,et al.  On the Granularity and Clustering of Directed Acyclic Task Graphs , 1993, IEEE Trans. Parallel Distributed Syst..

[4]  John Curlander,et al.  Perfonnance of the SIR-B Digital Image Processing Subsystem , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Nicola Veneziani,et al.  Parallel/pipeline multiprocessor architectures for SAR data processing , 1991, Eur. Trans. Telecommun..

[6]  Phillip George,et al.  A very fast synthetic-aperture radar signal processor for ERS-1 and Radarsat , 1986 .

[7]  Jack Dongarra,et al.  A User''s Guide to PVM Parallel Virtual Machine , 1991 .

[8]  Nicola Veneziani,et al.  Performance Of Mulitprocessor Structures For Fast Digital Sar Processing , 1991, The Sixth Distributed Memory Computing Conference, 1991. Proceedings.

[9]  Geoffrey Fox,et al.  Two approaches to the concurrent implementation of the prime factor algorithm on a hypercube , 1991, Concurr. Pract. Exp..

[10]  John N. Tsitsiklis,et al.  Parallel and distributed computation , 1989 .

[11]  H. K. Ramapriyan,et al.  Synthetic aperture radar signal processing on the MPP , 1987 .

[12]  B. C. Barber,et al.  Theory of Digital Imaging from Orbital Synthetic Aperture Radar , 1983 .

[13]  Robert E. Benner,et al.  Development of Parallel Methods for a $1024$-Processor Hypercube , 1988 .

[14]  Brian K. Schmidt,et al.  Empirical analysis of overheads in cluster environments , 1994, Concurr. Pract. Exp..

[15]  C. Elachi,et al.  Spaceborne synthetic-aperture imaging radars: Applications, techniques, and technology , 1982, Proceedings of the IEEE.