Resource-saving FPGA Implementation of the Satisfiability Problem Solver: AmoebaSATslim

Author:

Yan Ying Jie,Amano Hideharu,Aono Masashi,Ohkoda Kaori,Fukuda Shingo,Saito Kenta,Kasai Seiya

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Board Allocation Algorithm for the Resource Management System of FiC;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

2. Power Analysis and Power Modeling of Directly-Connected FPGA Clusters;IEICE Transactions on Information and Systems;2023-12-01

3. Efficient FPGA Implementation of Amoeba-inspired SAT Solver with Feedback and Bounceback Control: Harnessing Variable-Level Parallelism for Large-Scale Problem Solving in Edge Computing;Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies;2023-06-14

4. Multi-board FPGA Implementation to Solve the Satisfiability Problem for Multi-Agent Path Finding in Smart Factory;2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW);2022-11

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