新皮层模型在Cray XD1上实现的初步研究

Kenneth L. Rice, Christopher N. Vutsinas, Tarek M. Taha
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引用次数: 3

摘要

在本文中,我们研究了基于新皮层结构的一类新的认知加工应用的加速。具体来说,我们研究了视觉皮层模型对图像识别的加速。我们提出了加速在通用处理器和可重构逻辑上应用的技术。我们展示了我们的方法在Cray XD1上的实现,并比较了利用基于可重构逻辑的加速扩展设计与仅软件设计的性能潜力。我们的结果表明,使用可重构逻辑的加速可以比仅使用软件实现提供显著的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A preliminary investigation of a neocortex model implementation on the Cray XD1
In this paper we study the acceleration of a new class of cognitive processing applications based on the structure of the neocortex. Specifically we examine the speedup of a visual cortex model for image recognition. We propose techniques to accelerate the application on general purpose processors and on reconfigurable logic. We present implementations of our approach on a Cray XD1 and compare the performance potential of scaling the design utilizing reconfigurable logic based acceleration to a software only design. Our results indicate that acceleration using reconfigurable logic can provide a significant speedup over a software only implementation.
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