Dynamic Partitioning for Library based Placement on Heterogeneous FPGAs (Abstract Only)
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Library based design and IP reuses have been previously proposed to speed up the synthesis of large-scale FPGA designs. However, existing methods result in large area wastage due to the module size difference and the waste area inside each module. In this paper, we propose an efficient and dynamic module partitioning approach for the library based design flow that minimizes the area wastage. Our proposed approach efficiently utilizes the pre-placement module information such as relative positions of blocks including CLBs, DSPs and RAMs, and the module sizes (width, height) for placing these blocks. We introduce a B*-tree representation to enable a fast modular placement. Simulated annealing algorithm is adopted to direct each round of the placement and to search for the optimization. We develop a set of efficient rules to guide the module selection and partition during placement, to eliminate the waste area inside and between modules and achieve a more compact final placement. In addition, the proposed approach can adapt to different architectures and address the fixed-outline constraint. Experiment results show that our approach can reduce the FPGA area utilization by up to 19% compared with the state-of-the-art approach while with acceptable runtime. More detailed description of this poster can be found in our technical report [1].