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 a...

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Bibliographic Details
Main Authors: Rice, Kenneth L., Vutsinas, Christopher N., Taha, Tarek M.
Format: Conference Proceeding
Language:English
Subjects:
application performance
Bridges
Cache memory
cognitive algorithms
Computer science
Computer systems organization > Architectures > Distributed architectures
Delay
Drain avalanche hot carrier injection
FPGA
Government
History
Performance gain
Prefetching
reconfigurable
Sun
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Summary: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.
DOI:10.1145/1362622.1362626