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Implementation of a highly scalable blokus duo solver on FPGA

机译:在FPGA上实现高度可扩展的blokus duo求解器

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This paper presents a highly scalable hardware solver for Blokus Duo. Based on flat Monte Carlo method, the proposed solver contains self-contained agents whose number is configurable and only limited by FPGA capacity, which makes the proposed solver highly scalable. Data structures and tile representations are tailored to support efficient memory usage and operations. Implementation result shows that an agent can operate at up to 150MHz while requiring less than 3000 LUTs on the Altera Cyclone II EP2C70F896C6 FPGA device. Simulation result shows the proposed solver can always win level 1 Pentobi.
机译:本文介绍了用于Blokus Duo的高度可扩展的硬件求解器。基于平面蒙特卡洛方法,所提出的求解器包含数量可配置且仅受FPGA容量限制的自包含代理,这使得所提出的求解器具有高度可扩展性。量身定制了数据结构和图块表示形式,以支持有效的内存使用和操作。实施结果表明,在Altera Cyclone II EP2C70F896C6 FPGA器件上,一个代理可以在最高150MHz的频率下运行,同时需要少于3000个LUT。仿真结果表明,所提出的求解器始终可以赢得1级Pentobi。

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