An automated temporal partitioning and loop fission approach for FPGA based reconfigurable synthesis of DSP applications

We present an automated temporal partitioning and loop transformation approach for developing dynamically reconfigurable designs starting from behavior level specifications. An Integer Linear Programming (ILP) model is formulated to achieve near-optimal latency designs. We, also present a loop restructuring method to achieve maximum throughput for a class of DSP applications. This restructuring transformation is performed on the temporally partitioned behavior and results in near-optimization of throughput. We discuss efficient memory mapping and address generation techniques for the synthesis of reconfigurable designs. A case study on the Joint Photographic Experts Group (JPEG) image compression algorithm demonstrates the effectiveness of our approach.