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GPU-Based Parallelism for ASP-Solving

机译:基于GPU的ASP解决并行性

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摘要

Answer Set Programming (ASP) has become the paradigm of choice in the field of logic programming and non-monotonic reasoning. With the design of new and efficient solvers, ASP has been successfully adopted in a wide range of application domains. Recently, with the advent of GPU Computing, which allowed the use of modern parallel Graphical Processing Units (GPUs) for general-purpose computing, new opportunities for accelerating ASP computation has arisen. In this paper, we describe a new approach for solving ASP that exploits the parallelism provided by GPUs. The design of a GPU-based solver poses various challenges due to the peculiarities of GPU in terms of both pro-grammability and architecture capabilities with respect to the intrinsic nature of the satisfiability problems, which exposes poor parallelism.
机译:答案集编程(ASP)已成为逻辑编程和非单调推理领域的首选选择。通过设计新型高效的求解器,ASP已成功应用于广泛的应用领域。最近,随着GPU计算的出现,允许将现代并行图形处理单元(GPU)用于通用计算,出现了加速ASP计算的新机会。在本文中,我们描述了一种利用ASP提供的并行性来解决ASP的新方法。基于GPU的求解器的设计提出了各种挑战,这是因为GPU在可满足性问题的内在本质方面在可编程性和体系结构功能方面都具有特殊性,这暴露了不良的并行性。

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