Serial Arithmetic Strategies for Improving FPGA Throughput.

Serial arithmetic has been shown to offer attractive advantages in area for field-programmable gate array (FPGA) datapaths but suffers from a significant reduction in throughput compared to traditional bit-parallel designs. In this work, we perform a performance and trade-off analysis that counterintuitively shows that, despite the decreased throughput of individual serial operators, replication of serial arithmetic can provide a 2.1 × average increase in throughput compared to bit-parallel pipelines for common FPGA applications. We complement this analysis with a novel SerDes architecture that enables existing FPGA pipelines to be replaced with serial logic with potentially higher throughput. We also present a serialized sliding-window architecture that improves average throughput 2.4 × compared to existing bit-parallel work.