A Scalable and Programmable Architecture for the Continuous Restricted Boltzmann Machine in VLSI

Author

Lu, C.C. ; Hong, C.Y. ; Chen, H.

Author_Institution

Dept. of Electr. Eng., National Tsing-Hua Univ., Hsin-Chu

fYear

2007

fDate

27-30 May 2007

Firstpage

1297

Lastpage

1300

Abstract

The continuous restricted Boltzmann machine (CRBM) has been attractive as a probabilistic model both useful in biomedical applications and hardware-amenable. To implement a large-scale CRBM system for real applications, the performance of the CRBM under hardware constraints must be investigated. This paper examines the effects of parameter precision on the performance of the CRBM, identifies the required precision for modelling real biomedical data, and finally proposes a scalable and programmable architecture based on which a CRBM-embedded intelligent system can be formed

Keywords

Boltzmann machines; VLSI; embedded systems; medical computing; CRBM-embedded intelligent system; VLSI; biomedical applications; continuous restricted Boltzmann machine; hardware constraints; hardware-amenable; parameter precision; programmable architecture; real biomedical data; scalable architecture; Bioinformatics; Hardware; Intelligent systems; Large-scale systems; Neurons; Quantization; Stochastic processes; Stochastic systems; Training data; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on

Conference_Location

New Orleans, LA

Print_ISBN

1-4244-0920-9

Electronic_ISBN

1-4244-0921-7

Type

conf

DOI

10.1109/ISCAS.2007.378409

Filename

4252884