Multilevel Optimization for Large-Scale Hierarchical FPGA Placement

来源 :Journal of Computer Science & Technology | 被引量 : 0次 | 上传用户:hyx19841101
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This paper proposes a multilevel placer targeted at hierarchical FPGA(Field Programmable Gate Array) devices.The placer is based on multilevel optimization method which combines the multilevel bottom-up clustering process and top-down placement process into a V-cycle.It provides superior wirelength results over a known heuristic high-quality placement tool on a set of large circuits,when restricted to a short run time.For example,it can generate a placement result for a circuit with 5000 4-LUTs(4-Input Look Up Tables) in 70 seconds,almost 30%decrease of wirelength compared with than the heuristic implementation that takes over 500 seconds.We have verified our algorithm yields good quality-time tradeoff results as a low-temperature simulated annealing refinement process can only improve the result by an average of 1.11%at the cost of over 25-fold runtime. This paper proposes a multilevel placer targeted at hierarchical FPGA (Field Programmable Gate Array) devices. The placer is based on multilevel optimization method which combines the multilevel bottom-up clustering process and the top-down placement process into a V-cycle. It provides superior wirelength results over a known heuristic high-quality placement tool on a set of large circuits, when restricted to a short run time. For example, it can generate a placement result for a circuit with 5000 4-LUTs (4-Input Look Up Tables ) in 70 seconds, almost 30% decrease of wirelength compared with than the heuristic implementation that takes over 500 seconds. We have verified our algorithm yields good quality-time tradeoff results as a low-temperature simulated annealing refinement process can only improve the result by an average of 1.11% at the cost of over 25-fold runtime.
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