A functional methodology for parallel image processing development
D.J. Johnston · 2003
This paper addresses these problems using a functional language transformation, illustrated in the context of a particular application. We show that the overhead introduced by the transformation is relatively small, but the benefit derived is substantial, since the functional programming discipline enforces an implementation-independent definition of core parallel requirements, which can then be mapped onto a broad set of parallel architectures, ranging from shared and distributed memory conventional multiprocessors to direct hardware implementations constructed using silicon compilers and FPGA technology