Task modules Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems with Heterogeneous Resources

Abstract

Some field programmable gate arrays (FPGAs) can be partially dynamically reconfigurable with heterogeneous resources distributed on the chip. FPGA-based partially dynamically reconfigurable system (FPGA-PDRS) can be used to accelerate computing and improve computing flexibility. However, the traditional design of FPGA-PDRS is based on manual design. Implementing the automation of FPGA-PDRS needs to solve the problems of task modules partitioning, scheduling, and floorplanning on heterogeneous resources. Existing works only partly solve problems for the automation process of FPGA-PDRS or model homogeneous resource for FPGA-PDRS. To better solve the problems in the automation process of FPGA-PDRS and narrow the gap between algorithm and application, in this paper, we propose a complete workflow including three parts: pre-processing to generate the lists of task module candidate shapes according to the resource requirements, exploration process to search the solution of task modules partitioning, scheduling, and floorplanning, and post-optimization to improve the floorplan success rate. Experimental results show that, compared with state-of-the-art work, the pre-processing process can reduce the occupied area of task modules by 6% on average; the proposed complete workflow can improve performance by 9.6%, and reduce communication cost by 14.2% with improving the resources reuse rate of the heterogeneous resources on the chip. Based on the solution generated by the exploration process, the post-optimization process can improve the floorplan success rate by 11%.