Neural network simulation on a massively parallel cellular array processor: AAP-2

Author

Watanabe, Takumi ; Sugiyama, Yoshi ; Kando, T. ; Kitamura, Yoshihiro

Author_Institution

NTT LSI Lab., Kanagawa, Japan

fYear

1989

fDate

0-0 1989

Firstpage

155

Abstract

An implementation of error backpropagation on a massively parallel cellular array processor, AAP-2, is described. Parallel operations of a neural network simulation on the AAP-2 are described, including: allocation of the processors, computing the activation value with a stable-lookup method, and communication between processors. Currently, this simulator on the AAP-2 can run at approximately 18 MCPS (million connections per second), which is 45 times faster at a learning phase than that of the IBM-3090. The results indicate that fine-grained, cellular array computers consisting of a large number of simple processors can be efficient neural network simulators.<>

Keywords

digital simulation; neural nets; parallel architectures; parallel machines; table lookup; virtual machines; AAP-2; activation value; cellular array processor; error backpropagation; learning phase; massively parallel processor; neural network simulation; stable-lookup method; Neural networks; Parallel architectures; Parallel machines; Simulation; Table lookup; Virtual computers;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1989. IJCNN., International Joint Conference on

Conference_Location

Washington, DC, USA

Type

conf

DOI

10.1109/IJCNN.1989.118693

Filename

118693