Template matching with a MIMD computer

The authors examine the benefits of using highly parallel, general-purpose MIMD machines for image processing. They argue that for low-level image processing the only advantages are flexibility and ease of development, which are relatively unimportant in comparison to those of more efficient special-purpose hardware. In high-level image processing, however, parallel algorithms will, in general, require computer system features that are not satisfiable by special-purpose hardware or SIMD machines. Therefore, image processing applications for which the high-level part is the most time consuming can benefit the most from MIMD machines. For an optimally efficient implementation the authors recommend a hybrid approach. Reference throughout is made to the Distributed Object Oriented Machine (DOOM), and MIMD computer intended to exploit coarse-grain parallelism