A FPGA based SAT solver with random variable selection

Zhixue Chen, Jinzhao Wu, Huibo Guo, Juxia Xiong, Anping He
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引用次数: 2

Abstract

SAT is one of the most important basic problems of many areas of computer science and control science. SAT solvers are software or hardware to solve an SAT instance. In this paper, an instance-specified SAT solver was developed with FPGA, which implements the DPLL algorithm with our innovative random variable selection. Moreover, we also introduced an innovative tool-chain of our SAT solver, which including two types of software, e.g., the Xilinx commercial software that is organized by our own C++ parser and some pieces of scripts, and a hardware of FPGA board. With the experiments, our solver keeps quite stable for the highest frequency (200MHz) of Vertex-7 FPGA board, the largest instance under testing has 200 variables and 1200 clauses with less than 3% resources consumed on the FPGA development board.
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基于FPGA的随机变量选择SAT求解器
SAT是计算机科学和控制科学许多领域最重要的基础问题之一。SAT求解器是解决SAT实例的软件或硬件。本文利用FPGA开发了一种基于实例的SAT求解器,该求解器利用我们创新的随机变量选择实现了DPLL算法。此外,我们还介绍了我们的SAT求解器的创新工具链,其中包括两种类型的软件,即由我们自己的c++解析器和一些脚本组成的Xilinx商业软件和FPGA板硬件。通过实验,我们的求解器在Vertex-7 FPGA板的最高频率(200MHz)下保持相当稳定,在测试的最大实例中有200个变量和1200个子句,在FPGA开发板上消耗的资源不到3%。
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