Parallel architecture selection for image tracking applications

Some application-specific algorithms exhibit very high processing demand due to the real-time requirement. Architectural structure adaptations are necessary to meet the computational requirement of such algorithms. An optimized architecture should consider all the performance criteria and their degree of importance. Among these, the degree of parallelism, memory and communication bandwidth, and I/O rate should be considered. A functional analysis of several image processing algorithms is used as an example to find a parallel architecture to meet the requirements. The architecture selection factors described, certainly can help in improving the I/O and processor bound limitations. Their lack of consideration can degrade the system performance in terms of the real time requirement and quality of presentation and future expansion