A preliminary investigation of a neocortex model implementation on the Cray XD1

Authors:
Kenneth L. Rice;Christopher N. Vutsinas;Tarek M. Taha
Affiliations:
Clemson University, Clemson, SC;Clemson University, Clemson, SC;Clemson University, Clemson, SC
Venue:
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Year:
2007

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Abstract

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.