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Heterogeneous reconfigurable design for TreePM N-body simulation

机译:用于TreePM N体仿真的异构可重配置设计

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In this paper, we describe our implementation for N-body simulation with the aid of FPGA, GPU and CPU. TreePM, which is a common algorithm for N-body simulation and meets our demands well, is chosen here. We split treePM algorithm into several parts, and assign them to different accelerators depending on the features of the operation. Moreover, partially dynamically reconfigurable FPGA architecture is used here for fine-grained scheduling, making the assignments more balanced. Experiments showed that it has improvement in speed and energy efficiency over previous design with the same scale. Besides, it's potential for advances with multiple clusters also been demonstrated here.
机译:在本文中,我们将借助FPGA,GPU和CPU描述我们用于N体仿真的实现。这里选择TreePM,它是N体仿真的常用算法,可以很好地满足我们的需求。我们将treePM算法分为几部分,然后根据操作的特性将它们分配给不同的加速器。此外,此处使用部分可动态重新配置的FPGA体系结构进行细粒度的调度,从而使分配更加均衡。实验表明,与以前的设计相比,它在速度和能源效率上都有相同程度的提高。此外,这里还展示了在多个集群中取得进步的潜力。

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