Gigaop DSP on FPGA

DSP algorithms such as sonar beamforming and automated target recognition, are a good match for FPGA technology due to their regular structure, available parallelism, pipeline-ability, and modest data word sizes. FPGA implementations of these applications outperformed their DSP and microprocessor counterparts by factors ranging from 10X on up with an equivalent sustained computational rate of more than 2 GOps/second per FPGA. This paper first describes each application and derives its computational requirements. The mapping process for each is then described followed by an analysis of the relative contributions to performance from pipelining, data parallelism, and memory usage