Hardware-oriented Partition for Embedded Multiprocessor FPGA Systems

In this paper, we present hardware-oriented partitioning approach that can solve the partitioning issues for embedded multiprocessor FPGA systems. In addition, it can gain a better partitioning result, faster execution time, less memory and higher slice used rate, under satisfied system constraints. We also demonstrate the feasibility of our approach by a JPEG encoding system using Xilinx ML310 FPGA platform. Experiment results show that the execution time and memory size are improved.