SIMD processor based implementation of recursive filtering equations

Implementation of recursive equations using parallel computer architecture has long been of interest because the dependency problem makes it difficult to achieve significant speed-up. In this paper, efficient implementation of recursive filtering equations on partitioned data-path SIMD (Single Instruction Multiple Data) processors is studied. Especially, three parallel computation techniques, which are the block filtering, recursive doubling, and multi-block filtering methods, are implemented and their performances are compared using a Pentium CPU based system. The performance evaluation result of the multi-block processing method on a scalable SIMD processor is also presented.