PANNE: a parallel computing engine for connectionist simulation

Author

Milosavlevich, Igor Z. ; Flower, Barry G. ; Jabri, Marwan A.

Author_Institution

Dept. of Electr. Eng., Sydney Univ., NSW, Australia

fYear

1996

fDate

12-14 Feb 1996

Firstpage

363

Lastpage

368

Abstract

PANNE (Parallel Artificial Neural Network Engine) is a parallel computing engine aimed at delivering super-computing power to numerical applications such as connectionist simulation and signal processing. The PANNE system exploits the features of the TMS320C40 DSP chip which make it suitable for building parallel computing systems. PANNE has been built with flexibility in mind; it is expandable in terms of hardware resources and supports both shared and distributed memory programming paradigms. We estimate that a system of 16 DSPs would be capable of delivering up to 80×10⁶ connection updates per second

Keywords

digital signal processing chips; neural nets; parallel architectures; PANNE; TMS320C40 DSP chip; connection updates; connectionist simulation; hardware resources; memory programming paradigms; parallel artificial neural network engine; parallel computing engine; signal processing; super-computing power; Acceleration; Computational modeling; Computer architecture; Digital signal processing; Digital signal processing chips; Engines; Parallel processing; Signal processing; Signal processing algorithms; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on

Conference_Location

Lausanne

ISSN

1086-1947

Print_ISBN

0-8186-7373-7

Type

conf

DOI

10.1109/MNNFS.1996.493816

Filename

493816