A Hardware Relaxation Paradigm for Solving NP-Hard Problems

W. Cockshott, Andreas Koltes, J. O'Donnell, P. Prosser, W. Vanderbauwhede
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引用次数: 3

Abstract

Digital circuits with feedback loops can solve some instances of NP-hard problems by relaxation: the circuit will either oscillate or settle down to a stable state that represents a solution to the problem instance. This approach differs from using hardware accelerators to speed up the execution of deterministic algorithms, as it exploits stabilisation properties of circuits with feedback, and it allows a variety of hardware techniques that do not have counterparts in software. A feedback circuit that solves many instances of Boolean satisfiability problems is described, with experimental results from a preliminary simulation using a hardware accelerator.
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求解np困难问题的硬件松弛范式
带有反馈回路的数字电路可以通过松弛来解决np困难问题的一些实例:电路要么振荡,要么稳定到一个稳定的状态,代表问题实例的解决方案。这种方法不同于使用硬件加速器来加速确定性算法的执行,因为它利用了带有反馈的电路的稳定特性,并且它允许各种硬件技术,而这些技术在软件中没有对应的。描述了一种解决布尔可满足性问题的反馈电路,并给出了使用硬件加速器进行初步仿真的实验结果。
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