A reconfigurable network termed as the reconfigurable multi-ring netwo
rk (RMRN) is described. The RMRN is shown to be a truly scalable netwo
rk in that each node in the network has a fixed degree of connectivity
and the reconfiguration mechanism ensures a network diameter of O(log
(2) N) for an N-processor network. Algorithms for the two-dimensional
mesh and the SIMD or SPMD n-cube are shown to map very elegantly onto
the RMRN. Basic message passing and reconfiguration primitives for the
SIMD/SPMD RMRN are designed for use as building blocks for more compl
ex parallel algorithms. The RMRN is shown to be a viable architecture
for image processing and computer vision problems using the parallel c
omputation of the stereocorrelation imaging operation as an example. S
tereocorrelation is one of the most computationally intensive imaging
tasks. It is used as a visualization tool in many applications, includ
ing remote sensing, geographic information systems and robot vision.