Experiments in Mapping Expressions to DSP Blocks

Abstract

Mapping complex mathematical expressions to DSP blocks by relying on synthesis from pipelined code is inefficient and results in significantly reduced throughput. We have developed a tool to demonstrate the benefit of considering the structure and pipeline arrangement of the DSP block in mapping of functions. Implementations where the structure of the DSP block is considered during pipelining achieve double the throughput of other methods, demonstrating that the structure of the DSP block must be considered when scheduling complex expressions.