Neural net simulation with MUSIC

Author

Müller, Urs A. ; Gunzinger, Anton ; Guggenbuhl, Walter

Author_Institution

Electron. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland

fYear

1993

fDate

1993

Firstpage

1737

Abstract

A neural net simulation platform is described. It is implemented on the MUSIC (Multiprocessor System with Intelligent Communication) parallel distributed memory computer, which is able to run simulations at supercomputer speed and yet is very flexible and easy to use. The low price power consumption and size allow the use of the system as a desktop supercomputer which does not have to be shared among a large community of users. The programming environment is powerful enough to make the implementation of data parallel algorithms not essentially more difficult than on a single-processing environment and not more complicated than on a modern vector-processor based supercomputer, as is confirmed by practical examples

Keywords

digital simulation; neural nets; parallel algorithms; parallel machines; MUSIC; data parallel algorithms; desktop supercomputer; neural net simulation platform; parallel distributed memory computer; power consumption; programming environment; Computational modeling; Computer simulation; Concurrent computing; Distributed computing; Energy consumption; Intelligent systems; Multiple signal classification; Multiprocessing systems; Neural networks; Supercomputers;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993., IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0999-5

Type

conf

DOI

10.1109/ICNN.1993.298819

Filename

298819