From C to Blokus Duo with LegUp high-level synthesis

J. Cai, Ruolong Lian, Mengyao Wang, Andrew Canis, Jongsok Choi, B. Fort, Eric Hart, Emily Miao, Yanyan Zhang, Nazanin Calagar, S. Brown, J. Anderson
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引用次数: 6

Abstract

We apply high-level synthesis (HLS) to generate Blokus Duo game-playing hardware for the FPT 2013 Design Competition [3]. Our design, written in C, is synthesized using the LegUp open-source HLS tool to Verilog, then subsequently mapped using vendor tools to an Altera Cyclone IV FPGA on DE2 board. Our software implementation is designed to be amenable to high-level synthesis, and includes a custom stack implementation, uses only integer arithmetic, and employs the use of bitwise logical operations to improve overall computational performance. The underlying AI decision making is based on alpha-beta pruning [2]. The performance of our synthesizable solution is gauged by playing against the Pentobi [8] - a “known good” C++ software implementation.
从C到Blokus Duo与LegUp高级合成
我们应用高级合成(HLS)为FPT 2013设计竞赛生成Blokus Duo游戏硬件[3]。我们的设计是用C语言编写的,使用LegUp开源HLS工具合成Verilog,然后使用供应商工具将其映射到DE2板上的Altera Cyclone IV FPGA。我们的软件实现被设计为适合高级综合,并且包括自定义堆栈实现,仅使用整数算术,并使用按位逻辑运算来提高整体计算性能。底层的AI决策是基于α - β修剪[2]。我们的可合成解决方案的性能是通过与Pentobi[8]进行比较来衡量的——Pentobi是一个“已知的好”c++软件实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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